1 |
Alpaydin AO, Gezer NS, Simsek GO, Tertemiz KC, Kutsoylu OOE, Zeka AN, Guzel I, Soyturk M, Sayiner AA, Oguz VA. Clinical and radiological diagnosis of non-SARS-CoV-2 viruses in the era of COVID-19 pandemic. J Med Virol 2021;93:1119-25. [PMID: 32770738 DOI: 10.1002/jmv.26410] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
2 |
Grillet F, Busse-Coté A, Calame P, Behr J, Delabrousse E, Aubry S. COVID-19 pneumonia: microvascular disease revealed on pulmonary dual-energy computed tomography angiography. Quant Imaging Med Surg 2020;10:1852-62. [PMID: 32879862 DOI: 10.21037/qims-20-708] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 6.0] [Reference Citation Analysis]
|
3 |
Wang Z, Wang Z, Xiong G. Clinical characteristics and laboratory results of pregnant women with COVID-19 in Wuhan, China. Int J Gynaecol Obstet 2020;150:312-7. [PMID: 32510581 DOI: 10.1002/ijgo.13265] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 9.5] [Reference Citation Analysis]
|
4 |
Chowdhury NK, Kabir MA, Rahman MM, Rezoana N. ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19. PeerJ Comput Sci 2021;7:e551. [PMID: 34141883 DOI: 10.7717/peerj-cs.551] [Reference Citation Analysis]
|
5 |
Güneyli S, Atçeken Z, Doğan H, Altınmakas E, Atasoy KÇ. Radiological approach to COVID-19 pneumonia with an emphasis on chest CT. Diagn Interv Radiol 2020;26:323-32. [PMID: 32352917 DOI: 10.5152/dir.2020.20260] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 9.5] [Reference Citation Analysis]
|
6 |
Kee TP, Venkatanarasimha N, Mohideen SMH, Chan LL, Gogna A, Schaefer PW, Chia GS, Choi YS, Chen RC. A Tale of Two Organ Systems: Imaging review of diseases affecting the thoracic and neurological systems. Part 1. Curr Probl Diagn Radiol 2021:S0363-0188(21)00107-9. [PMID: 34304949 DOI: 10.1067/j.cpradiol.2021.06.008] [Reference Citation Analysis]
|
7 |
Guarnera A, Santini E, Podda P. COVID-19 Pneumonia and Lung Cancer: A Challenge for the Radiological Review of the Main Radiological Features, Differential Diagnosis and Overlapping Pathologies. Tomography 2022;8:513-28. [DOI: 10.3390/tomography8010041] [Reference Citation Analysis]
|
8 |
Guarnera A, Podda P, Santini E, Paolantonio P, Laghi A. Differential diagnoses of COVID-19 pneumonia: the current challenge for the radiologist-a pictorial essay. Insights Imaging 2021;12:34. [PMID: 33704615 DOI: 10.1186/s13244-021-00967-x] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
9 |
Cozzi D, Albanesi M, Cavigli E, Moroni C, Bindi A, Luvarà S, Lucarini S, Busoni S, Mazzoni LN, Miele V. Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome. Radiol Med 2020;125:730-7. [PMID: 32519256 DOI: 10.1007/s11547-020-01232-9] [Cited by in Crossref: 86] [Cited by in F6Publishing: 67] [Article Influence: 43.0] [Reference Citation Analysis]
|
10 |
Garg M, Prabhakar N, Bhalla AS, Irodi A, Sehgal I, Debi U, Suri V, Agarwal R, Yaddanapudi LN, Puri GD, Sandhu MS. Computed tomography chest in COVID-19: When & why? Indian J Med Res 2021;153:86-92. [PMID: 33402610 DOI: 10.4103/ijmr.IJMR_3669_20] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
11 |
Balik AÖ, Yağci B. Quantitative computerized tomography evaluation of the effects of COVID-19 pneumonia on lung volume. Cukurova Medical Journal 2022;47:415-25. [DOI: 10.17826/cumj.1030243] [Reference Citation Analysis]
|
12 |
Guarnera A, Santini E, Podda P. Idiopathic Interstitial Pneumonias and COVID-19 Pneumonia: Review of the Main Radiological Features and Differential Diagnosis. Tomography 2021;7:397-411. [PMID: 34564297 DOI: 10.3390/tomography7030035] [Reference Citation Analysis]
|
13 |
Signoroni A, Savardi M, Benini S, Adami N, Leonardi R, Gibellini P, Vaccher F, Ravanelli M, Borghesi A, Maroldi R, Farina D. BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Med Image Anal 2021;71:102046. [PMID: 33862337 DOI: 10.1016/j.media.2021.102046] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
|
14 |
Ufuk F, Savaş R. Chest CT features of the novel coronavirus disease (COVID-19). Turk J Med Sci 2020;50:664-78. [PMID: 32394687 DOI: 10.3906/sag-2004-331] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 7.5] [Reference Citation Analysis]
|
15 |
Fields BKK, Demirjian NL, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19) diagnostic technologies: A country-based retrospective analysis of screening and containment procedures during the first wave of the pandemic. Clin Imaging. 2020;67:219-225. [PMID: 32871426 DOI: 10.1016/j.clinimag.2020.08.014] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
|
16 |
Martínez Chamorro E, Revilla Ostolaza T, Pérez Núñez M, Borruel Nacenta S, Cruz-conde Rodríguez-guerra C, Ibáñez Sanz L. Pulmonary embolisms in patients with COVID-19: A prevalence study in a tertiary hospital. Radiología (English Edition) 2021;63:13-21. [DOI: 10.1016/j.rxeng.2020.09.011] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
17 |
Kevadiya BD, Machhi J, Herskovitz J, Oleynikov MD, Blomberg WR, Bajwa N, Soni D, Das S, Hasan M, Patel M, Senan AM, Gorantla S, McMillan J, Edagwa B, Eisenberg R, Gurumurthy CB, Reid SPM, Punyadeera C, Chang L, Gendelman HE. Diagnostics for SARS-CoV-2 infections. Nat Mater 2021;20:593-605. [PMID: 33589798 DOI: 10.1038/s41563-020-00906-z] [Cited by in Crossref: 40] [Cited by in F6Publishing: 44] [Article Influence: 40.0] [Reference Citation Analysis]
|
18 |
Davarpanah AH, Asgari R, Moharamzad Y, Mahdavi A, Abrishami A, Nekooghadam S, Sabri A, Zarei E, Khazaei M, Sanei Taheri M. Risk Factors for Poor Outcome in Patients with Severe Viral Pneumonia on Chest CT during the COVID-19 Outbreak: a Perspective from Iran. SN Compr Clin Med 2020;:1-11. [PMID: 32838199 DOI: 10.1007/s42399-020-00445-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
|
19 |
Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology 2020;296:E97-E104. [PMID: 32339082 DOI: 10.1148/radiol.2020201473] [Cited by in Crossref: 264] [Cited by in F6Publishing: 216] [Article Influence: 132.0] [Reference Citation Analysis]
|
20 |
Colombi D, Bodini FC, Morelli N, Silva M, Milanese G, Cavanna L, Michieletti E. COVID-19 outbreak in Italy: Clinical-radiological presentation and outcome in three oncologic patients. J Infect Chemother 2021;27:99-102. [PMID: 33023821 DOI: 10.1016/j.jiac.2020.09.008] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
21 |
Miyake S, Higurashi T, Jono T, Akimoto T, Ogawa F, Oi Y, Tanaka K, Hara Y, Kobayashi N, Kato H, Yamashiro T, Utsunomiya D, Nakajima A, Yamamoto T, Maeda S, Kaneko T, Takeuchi I. Real-world evaluation of a computed tomography-first triage strategy for suspected Coronavirus disease 2019 in outpatients in Japan: An observational cohort study. Medicine (Baltimore) 2021;100:e26161. [PMID: 34087874 DOI: 10.1097/MD.0000000000026161] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
22 |
Goncharov M, Pisov M, Shevtsov A, Shirokikh B, Kurmukov A, Blokhin I, Chernina V, Solovev A, Gombolevskiy V, Morozov S, Belyaev M. CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Med Image Anal 2021;71:102054. [PMID: 33932751 DOI: 10.1016/j.media.2021.102054] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
23 |
Ravikanth R. Diagnostic accuracy of chest computed tomography in improving the false negative rate as compared to reverse transcriptase polymerase chain reaction in coronavirus disease 2019 pneumonia: A cross sectional analysis of 348 cases from India. Lung India 2021;38:S11-21. [PMID: 33686974 DOI: 10.4103/lungindia.lungindia_410_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
24 |
McKenney SE, Wait JMS, Cooper VN 3rd, Johnson AM, Wang J, Leung AN, Clements J. Multi-institution consensus paper for acquisition of portable chest radiographs through glass barriers. J Appl Clin Med Phys 2021;22:219-29. [PMID: 34216091 DOI: 10.1002/acm2.13330] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
25 |
Charpentier E, Soulat G, Fayol A, Hernigou A, Livrozet M, Grand T, Reverdito G, Al Haddad J, Dang Tran KD, Charpentier A, Clement O, Hulot JS, Mousseaux E. Visual lung damage CT score at hospital admission of COVID-19 patients and 30-day mortality. Eur Radiol 2021. [PMID: 33914118 DOI: 10.1007/s00330-021-07938-2] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
26 |
Alwaqfi NR, Ibrahim KS. COVID-19: an update and cardiac involvement. J Cardiothorac Surg 2020;15:239. [PMID: 32907637 DOI: 10.1186/s13019-020-01299-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
|
27 |
Gresser E, Rueckel J, Puhr-Westerheide D, Schwarze V, Fink N, Kunz WG, Wassilowsky D, Irlbeck M, Ricke J, Ingrisch M, Sabel BO. Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia. Diagnostics (Basel) 2020;10:E1108. [PMID: 33352758 DOI: 10.3390/diagnostics10121108] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
|
28 |
Schrift D, Barron K, Arya R, Choe C. The Use of POCUS to Manage ICU Patients With COVID-19. J Ultrasound Med 2021;40:1749-61. [PMID: 33174650 DOI: 10.1002/jum.15566] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
29 |
Bernardo M, Homayounieh F, Cuter MCR, Bellegard LM, Oliveira Junior HM, Buril GO, de Melo Tapajós JS, Sales DM, de Moura Carvalho LC, Alves Pinto D, Varella R, Tapajós LL, Ebrahimian S, Vassileva J, Kalra MK, Khoury HJ. Chest CT Usage in Covid-19 Pneumonia: Multicenter Study on Radiation Doses and Diagnostic Quality in Brazil. Radiat Prot Dosimetry 2021:ncab171. [PMID: 34875692 DOI: 10.1093/rpd/ncab171] [Reference Citation Analysis]
|
30 |
Chen L, Wang Q, Wu H, Hu J, Zhang J. REPEAT CHEST CT SCANS IN MODERATE-TO-SEVERE PATIENTS' MANAGEMENT DURING THE COVID-19 PANDEMIC: OBSERVATIONS FROM A SINGLE CENTRE IN WUHAN, CHINA. Radiat Prot Dosimetry 2020;190:269-75. [PMID: 32734297 DOI: 10.1093/rpd/ncaa106] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
31 |
R S, Thaseen IS, M V, M D, M A, R M, Mahendran A, Alnumay W, Chatterjee P. An Efficient Hardware Architecture Based on An Ensemble of Deep Learning Models for COVID -19 Prediction. Sustain Cities Soc 2022;:103713. [PMID: 35136715 DOI: 10.1016/j.scs.2022.103713] [Reference Citation Analysis]
|
32 |
Schaefer-Prokop C, Prokop M. Chest Radiography in COVID-19: No Role in Asymptomatic and Oligosymptomatic Disease. Radiology 2021;298:E156-7. [PMID: 33290177 DOI: 10.1148/radiol.2020204038] [Reference Citation Analysis]
|
33 |
Vancheri SG, Savietto G, Ballati F, Maggi A, Canino C, Bortolotto C, Valentini A, Dore R, Stella GM, Corsico AG, Iotti GA, Mojoli F, Perlini S, Bruno R, Preda L. Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms. Eur Radiol. 2020;. [PMID: 32474630 DOI: 10.1007/s00330-020-06967-7] [Cited by in Crossref: 47] [Cited by in F6Publishing: 42] [Article Influence: 23.5] [Reference Citation Analysis]
|
34 |
Borghesi A, Sverzellati N, Polverosi R, Balbi M, Baratella E, Busso M, Calandriello L, Cortese G, Farchione A, Iezzi R, Palmucci S, Pulzato I, Rampinelli C, Romei C, Valentini A, Grassi R, Larici AR. Impact of the COVID-19 pandemic on the selection of chest imaging modalities and reporting systems: a survey of Italian radiologists. Radiol Med 2021. [PMID: 34196908 DOI: 10.1007/s11547-021-01385-1] [Reference Citation Analysis]
|
35 |
Ikenoue T, Kataoka Y, Matsuoka Y, Matsumoto J, Kumasawa J, Tochitatni K, Funakoshi H, Hosoda T, Kugimiya A, Shirano M, Hamabe F, Iwata S, Fukuma S; Japan COVID-19 AI team. Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study. PLoS One 2021;16:e0258760. [PMID: 34735458 DOI: 10.1371/journal.pone.0258760] [Reference Citation Analysis]
|
36 |
Osmonov B, Ovchinnikov L, Galazis C, Emilov B, Karaibragimov M, Seitov M, Vesnin S, Losev A, Levshinskii V, Popov I, Mustafin C, Kasymbekov T, Goryanin I. Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan. Diagnostics (Basel) 2021;11:259. [PMID: 33562419 DOI: 10.3390/diagnostics11020259] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
|
37 |
Juengling FD, Maldonado A, Wuest F, Schindler TH. Identify. Quantify. Predict. Why Immunologists Should Widely Use Molecular Imaging for Coronavirus Disease 2019. Front Immunol 2021;12:568959. [PMID: 34054793 DOI: 10.3389/fimmu.2021.568959] [Reference Citation Analysis]
|
38 |
Chidambaram AG, Dennis RA, Biko DM, Hook M, Allen J, Rapp JB. Clinical and radiological characteristics of e-cigarette or vaping product use associated lung injury. Emerg Radiol 2020;27:495-501. [PMID: 32462343 DOI: 10.1007/s10140-020-01796-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
|
39 |
Foust AM, Phillips GS, Chun WC, Daltro P, Das KM, Garcia-Peña P, Kilborn T, Winant AJ, Lee EY. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Im-aging Study Recommendations. Radiol Cardiothorac Imaging 2020; 2: e200214. . [PMID: 33778577 DOI: 10.1148/ryct.2020200214] [Cited by in Crossref: 29] [Cited by in F6Publishing: 20] [Article Influence: 14.5] [Reference Citation Analysis]
|
40 |
Bagnera S, Bisanti F, Tibaldi C, Pasquino M, Berrino G, Ferraro R, Patania S. Performance of Radiologists in the Evaluation of the Chest Radiography with the Use of a "new software score" in Coronavirus Disease 2019 Pneumonia Suspected Patients. J Clin Imaging Sci 2020;10:40. [PMID: 32754375 DOI: 10.25259/JCIS_76_2020] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
41 |
Syed I, Khan S, Khan T, Syed S, Khan T, Ali A, Harries K, Capuano E, Farrugia A, Pittman M, Simon G, Haider T, Ali F, Gupta I, Malik Q. COVID-19: mobilising CT as a frontline management tool. Br J Radiol 2020;93:20200522. [PMID: 33119424 DOI: 10.1259/bjr.20200522] [Reference Citation Analysis]
|
42 |
Zhang Z, Tang R, Sun H, Dai H, Chen K, Ye X, Ye W, Li S, Lan B, Li L, Ou CQ. Temporal lung changes on thin-section CT in patients with COVID-19 pneumonia. Sci Rep 2020;10:19649. [PMID: 33184424 DOI: 10.1038/s41598-020-76776-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
43 |
Toussie D, Voutsinas N, Chung M, Bernheim A. Imaging of COVID-19. Seminars in Roentgenology 2022;57:40-52. [DOI: 10.1053/j.ro.2021.10.002] [Reference Citation Analysis]
|
44 |
Tsujikawa T, Anzai M, Umeda Y, Tsuyoshi H, Kosaka N, Kimura H, Okazawa H. COVID-19 pneumonia detected by [18F]FDG PET/MRI: a case with negative antigen test and chest X-ray results. BJR Case Rep 2022;7:20210131. [PMID: 35300238 DOI: 10.1259/bjrcr.20210131] [Reference Citation Analysis]
|
45 |
Grillet F, Behr J, Calame P, Aubry S, Delabrousse E. Acute Pulmonary Embolism Associated with COVID-19 Pneumonia Detected with Pulmonary CT Angiography. Radiology. 2020;296:E186-E188. [PMID: 32324103 DOI: 10.1148/radiol.2020201544] [Cited by in Crossref: 264] [Cited by in F6Publishing: 236] [Article Influence: 132.0] [Reference Citation Analysis]
|
46 |
Tudoran C, Tudoran M, Pop GN, Giurgi-Oncu C, Cut TG, Lazureanu VE, Oancea C, Parv F, Ciocarlie T, Bende F. Associations between the Severity of the Post-Acute COVID-19 Syndrome and Echocardiographic Abnormalities in Previously Healthy Outpatients Following Infection with SARS-CoV-2. Biology (Basel) 2021;10:469. [PMID: 34073342 DOI: 10.3390/biology10060469] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
47 |
Esposito A, Casiraghi E, Chiaraviglio F, Scarabelli A, Stellato E, Plensich G, Lastella G, Di Meglio L, Fusco S, Avola E, Jachetti A, Giannitto C, Malchiodi D, Frasca M, Beheshti A, Robinson PN, Valentini G, Forzenigo L, Carrafiello G. Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System. RMI 2021;Volume 14:27-39. [DOI: 10.2147/rmi.s292314] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
48 |
Finance J, Zieleskewicz L, Habert P, Jacquier A, Parola P, Boussuges A, Bregeon F, Eldin C. Low Dose Chest CT and Lung Ultrasound for the Diagnosis and Management of COVID-19. J Clin Med 2021;10:2196. [PMID: 34069557 DOI: 10.3390/jcm10102196] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
49 |
Borakati A, Perera A, Johnson J, Sood T. Diagnostic accuracy of X-ray versus CT in COVID-19: a propensity-matched database study. BMJ Open 2020;10:e042946. [PMID: 33158840 DOI: 10.1136/bmjopen-2020-042946] [Cited by in Crossref: 22] [Cited by in F6Publishing: 15] [Article Influence: 11.0] [Reference Citation Analysis]
|
50 |
Barbosa PNVP, Bitencourt AGV, de Miranda GD, Almeida MFA, Chojniak R. Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center. Radiol Bras 2020;53:211-5. [PMID: 32904703 DOI: 10.1590/0100-3984.2020.0040] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 4.5] [Reference Citation Analysis]
|
51 |
Coomes EA, Al-Shamsi HO, Meyers BM, Alhazzani W, Alhuraiji A, Chemaly RF, Almuhanna M, Wolff RA, Ibrahim NK, Chua MLK, Hotte SJ, Elfiki T, Curigliano G, Eng C, Grothey A, Xie C. In Reply. Oncologist 2020;25:e1252-3. [PMID: 32378772 DOI: 10.1634/theoncologist.2020-0329] [Reference Citation Analysis]
|
52 |
Rubin GD. CT Diagnosis of COVID-19: A View through the PICOTS Lens. Radiology 2021;:211454. [PMID: 34184939 DOI: 10.1148/radiol.2021211454] [Reference Citation Analysis]
|
53 |
Naguib M, Moustafa F, Salman MT, Saeed NK, Al-Qahtani M. The use of radiological imaging alongside reverse transcriptase PCR in diagnosing novel coronavirus disease 2019: a narrative review. Future Microbiol 2020;15:897-903. [PMID: 32638613 DOI: 10.2217/fmb-2020-0098] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
|
54 |
Fields BKK, Demirjian NL, Dadgar H, Gholamrezanezhad A. Imaging of COVID-19: CT, MRI, and PET. Semin Nucl Med. 2021;51:312-320. [PMID: 33288215 DOI: 10.1053/j.semnuclmed.2020.11.003] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 5.5] [Reference Citation Analysis]
|
55 |
Salvatore C, Interlenghi M, Monti CB, Ippolito D, Capra D, Cozzi A, Schiaffino S, Polidori A, Gandola D, Alì M, Castiglioni I, Messa C, Sardanelli F. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia. Diagnostics (Basel) 2021;11:530. [PMID: 33809625 DOI: 10.3390/diagnostics11030530] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
56 |
Hosse C, Büttner L, Fleckenstein FN, Hamper CM, Jonczyk M, Scholz O, Aigner A, Böning G. CT-Based Risk Stratification for Intensive Care Need and Survival in COVID-19 Patients-A Simple Solution. Diagnostics (Basel) 2021;11:1616. [PMID: 34573957 DOI: 10.3390/diagnostics11091616] [Reference Citation Analysis]
|
57 |
Rocha CO, Prioste TAD, Faccin CS, Folador L, Tonetto MS, Knijnik PG, Mainardi NB, Borges RB, Garcia TS. Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls. Braz J Infect Dis 2021;:101665. [PMID: 34958741 DOI: 10.1016/j.bjid.2021.101665] [Reference Citation Analysis]
|
58 |
Jirak P, Shomanova Z, Larbig R, Dankl D, Frank N, Seelmaier C, Butkiene D, Lichtenauer M, Mirna M, Strohmer B, Sackarnd J, Hoppe UC, Sindermann J, Reinecke H, Frommeyer G, Motloch LJ, Pistulli R. Higher Incidence of Stroke in Severe COVID-19 Is Not Associated With a Higher Burden of Arrhythmias: Comparison With Other Types of Severe Pneumonia. Front Cardiovasc Med 2021;8:763827. [PMID: 34901224 DOI: 10.3389/fcvm.2021.763827] [Reference Citation Analysis]
|
59 |
Chaganti S, Grenier P, Balachandran A, Chabin G, Cohen S, Flohr T, Georgescu B, Grbic S, Liu S, Mellot F, Murray N, Nicolaou S, Parker W, Re T, Sanelli P, Sauter AW, Xu Z, Yoo Y, Ziebandt V, Comaniciu D. Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT. Radiology: Artificial Intelligence 2020;2:e200048. [DOI: 10.1148/ryai.2020200048] [Cited by in Crossref: 27] [Cited by in F6Publishing: 14] [Article Influence: 13.5] [Reference Citation Analysis]
|
60 |
Serte S, Demirel H. Deep learning for diagnosis of COVID-19 using 3D CT scans. Comput Biol Med 2021;132:104306. [PMID: 33780867 DOI: 10.1016/j.compbiomed.2021.104306] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
61 |
Schulze-Hagen M, Hübel C, Meier-Schroers M, Yüksel C, Sander A, Sähn M, Kleines M, Isfort P, Cornelissen C, Lemmen S, Marx N, Dreher M, Brokmann J, Kopp A, Kuhl C. Low-Dose Chest CT for the Diagnosis of COVID-19—A Systematic, Prospective Comparison With PCR. Dtsch Arztebl Int 2020;117:389-95. [PMID: 32762834 DOI: 10.3238/arztebl.2020.0389] [Cited by in Crossref: 7] [Cited by in F6Publishing: 11] [Article Influence: 3.5] [Reference Citation Analysis]
|
62 |
Ye R, Zhou X, Shao F, Xiong L, Hong J, Huang H, Tong W, Wang J, Chen S, Cui A, Peng C, Zhao Y, Chen L. Feasibility of a 5G-Based Robot-Assisted Remote Ultrasound System for Cardiopulmonary Assessment of Patients With Coronavirus Disease 2019. Chest 2021;159:270-81. [PMID: 32653568 DOI: 10.1016/j.chest.2020.06.068] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 9.0] [Reference Citation Analysis]
|
63 |
Granata V, Fusco R, Izzo F, Venanzio Setola S, Coppola M, Grassi R, Reginelli A, Cappabianca S, Grassi R, Petrillo A. Covid-19 infection in cancer patients: the management in a diagnostic unit. Radiol Oncol 2021;55:121-9. [PMID: 33675200 DOI: 10.2478/raon-2021-0010] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
64 |
Yeh R, Elsakka A, Wray R, Johnston RP, Gangai NC, Yarmohammadi H, Schoder H, Pandit-Taskar N. FDG PET/CT imaging features and clinical utility in COVID-19. Clin Imaging 2021;80:262-7. [PMID: 34418873 DOI: 10.1016/j.clinimag.2021.08.002] [Reference Citation Analysis]
|
65 |
Li K, Qin M, Jiang W, Zhang Y, Wu S, Xu K, Liu X. Management of catheter ablation in arrhythmia patients during the coronavirus disease 2019 epidemic. ESC Heart Fail 2020. [PMID: 32940415 DOI: 10.1002/ehf2.13009] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
66 |
Caricchio R, Criner GJ. Rheumatologists and Pulmonologists at Temple University Weather the COVID-19 Storm Together. J Rheumatol 2020;47:1723.1-1723. [DOI: 10.3899/jrheum.200740] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
|
67 |
Sun R, Ammari S, Bockel S, Achkar S, Merad M, Dercle L, Rivera S, Chargari C, Deutsch E. Optimization of Patient Management During the COVID-19 Pandemic: Chest CT Scan and PCR as Gatekeepers of the Radiation Therapy Workflow. Front Oncol 2020;10:556334. [PMID: 33312944 DOI: 10.3389/fonc.2020.556334] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
68 |
Luo S, Qiu XM, Zeng XJ, Zhang DY, Wan B, Li X, Tian RH, Wang JT, Wang MY, Zhu J, Zhang C, Yang R, Chen F, Liang Y, Fan B, Jiang HJ, Wang XM, Chen W, Xu K, Gao JB, Du C, Zhang LN, Yang Y, Jia SJ, Ren H, Zu ZY, Xu PP, Zhong J, Yang YT, Zhou CS, Zhang W, Liu XX, Zhang QR, Xia F, Qi L, Lu MJ, Zhang LJ, Liu YX, Lu GM. Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study. Chin J Acad Radiol 2021;:1-9. [PMID: 34222797 DOI: 10.1007/s42058-021-00072-4] [Reference Citation Analysis]
|
69 |
Ippolito D, Giandola T, Maino C, Pecorelli A, Capodaglio C, Ragusi M, Porta M, Gandola D, Masetto A, Drago S, Allegranza P, Corso R, Talei Franzesi C, Sironi S. Acute pulmonary embolism in hospitalized patients with SARS-CoV-2-related pneumonia: multicentric experience from Italian endemic area. Radiol Med 2021;126:669-78. [PMID: 33417194 DOI: 10.1007/s11547-020-01328-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
70 |
Bruno MA, McGillen KL, Cherian RA, Jeppesen CN, Capodarco MD, Nagavalli N, Dinh ML, Welkie JM, Petscavage-Thomas J. Appropriateness of Emergency CT Utilization During the Initial Peak of the COVID-19 Pandemic. J Am Coll Radiol 2020;17:1450-2. [PMID: 32916157 DOI: 10.1016/j.jacr.2020.08.011] [Reference Citation Analysis]
|
71 |
Akudjedu TN, Lawal O, Sharma M, Elliott J, Stewart S, Gilleece T, McFadden S, Franklin JM. Impact of the COVID-19 pandemic on radiography practice: findings from a UK radiography workforce survey. BJR Open. 2020;2:20200023. [PMID: 33178980 DOI: 10.1259/bjro.20200023] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
|
72 |
Dennie C, Hague C, Lim RS, Manos D, Memauri BF, Nguyen ET, Taylor J. Canadian Society of Thoracic Radiology/Canadian Association of Radiologists Consensus Statement Regarding Chest Imaging in Suspected and Confirmed COVID-19. Can Assoc Radiol J. 2020;71:470-481. [PMID: 32380844 DOI: 10.1177/0846537120924606] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 11.0] [Reference Citation Analysis]
|
73 |
Dzefi-Tettey K, Saaka PS, Acquah I, Edzie EKM, Gorleku PN, Adjei P, Semetey JK, Ayem EKD, Insaidoo AJ, Samba A. Chest CT features of patients under investigation for Covid-19 pneumonia in a Ghanaian tertiary hospital: a descriptive study. Ghana Med J 2020;54:253-63. [PMID: 33883774 DOI: 10.4314/gmj.v54i4.8] [Reference Citation Analysis]
|
74 |
Ajmera P, Kharat A, Dhirawani S, Khaladkar SM, Kulkarni V, Duddalwar V, Lamghare P, Rathi S. Evaluating the Association Between Comorbidities and COVID-19 Severity Scoring on Chest CT Examinations Between the Two Waves of COVID-19: An Imaging Study Using Artificial Intelligence. Cureus. [DOI: 10.7759/cureus.21656] [Reference Citation Analysis]
|
75 |
Gallo Marin B, Aghagoli G, Lavine K, Yang L, Siff EJ, Chiang SS, Salazar-Mather TP, Dumenco L, Savaria MC, Aung SN, Flanigan T, Michelow IC. Predictors of COVID-19 severity: A literature review. Rev Med Virol 2021;31:1-10. [PMID: 32845042 DOI: 10.1002/rmv.2146] [Cited by in Crossref: 40] [Cited by in F6Publishing: 46] [Article Influence: 20.0] [Reference Citation Analysis]
|
76 |
Palomar-Lever A, Barraza G, Galicia-Alba J, Echeverri-Bolaños M, Escarria-Panesso R, Padua-Barrios J, Halabe-Cherem J, Hernandez-Molina G, Chargoy-Loustaunau TN, Kimura-Hayama E. Hepatic steatosis as an independent risk factor for severe disease in patients with COVID-19: A computed tomography study. JGH Open 2020. [PMID: 32838045 DOI: 10.1002/jgh3.12395] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
|
77 |
Bahrami-motlagh H, Abbasi S, Haghighimorad M, Salevatipour B, Alavi Darazam I, Sanei Taheri M, Esmaeili Tarki F, Naghibi Irvani SS. Performance of Low-Dose Chest CT Scan for Initial Triage of COVID-19. Iran J Radiol 2020;17. [DOI: 10.5812/iranjradiol.104950] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
78 |
Harahwa TA, Lai Yau TH, Lim-cooke M, Al-haddi S, Zeinah M, Harky A. The optimal diagnostic methods for COVID-19. Diagnosis 2020;7:349-56. [DOI: 10.1515/dx-2020-0058] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 6.0] [Reference Citation Analysis]
|
79 |
Kuo BJ, Lai YK, Tan MLM, Goh XC. Utility of Screening Chest Radiographs in Patients with Asymptomatic or Minimally Symptomatic COVID-19 in Singapore. Radiology 2021;298:E131-40. [PMID: 33289614 DOI: 10.1148/radiol.2020203496] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
|
80 |
Eng J, Bluemke DA. Imaging Publications in the COVID-19 Pandemic: Applying New Research Results to Clinical Practice. Radiology 2020;297:E228-31. [PMID: 32324100 DOI: 10.1148/radiol.2020201724] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 7.5] [Reference Citation Analysis]
|
81 |
Kopp K, Lichtenauer M, Motloch LJ, Hoppe UC, Egle A, Salzer HJF, Lamprecht B, Tomasits J, Müller HM, Dieplinger A. Interdisciplinary Model for Scheduling Post-discharge Cardiopulmonary Care of Patients Following Severe and Critical SARS-CoV-2 (Coronavirus) Infection. Front Cardiovasc Med 2020;7:157. [PMID: 32923461 DOI: 10.3389/fcvm.2020.00157] [Reference Citation Analysis]
|
82 |
Valdés P, Rovira A, Guerrero J, Morales Á, Rovira M, Martínez C. Managing the pandemic from the radiology department’s point of view. Radiología (English Edition) 2020;62:503-14. [DOI: 10.1016/j.rxeng.2020.10.001] [Reference Citation Analysis]
|
83 |
Yin X, Min X, Nan Y, Feng Z, Li B, Cai W, Xi X, Wang L. Assessment of the Severity of Coronavirus Disease: Quantitative Computed Tomography Parameters versus Semiquantitative Visual Score. Korean J Radiol 2020;21:998-1006. [PMID: 32677384 DOI: 10.3348/kjr.2020.0423] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
|
84 |
Velásquez-Rimachi V, Chavez-Malpartida SS, Velasquez-Fernandez R, Campos-Ramirez L. Chest X-Ray for Follow-Up of Hospitalized COVID-19 Patients in Settings with Limited Access to Computed Tomography. Korean J Radiol 2021;22:864-6. [PMID: 33739637 DOI: 10.3348/kjr.2020.1356] [Reference Citation Analysis]
|
85 |
Franquet T, Jeong YJ, Lam HYS, Wong HYF, Chang YC, Chung MJ, Lee KS. Imaging findings in coronavirus infections: SARS-CoV, MERS-CoV, and SARS-CoV-2. Br J Radiol 2020;93:20200515. [PMID: 32584604 DOI: 10.1259/bjr.20200515] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 5.5] [Reference Citation Analysis]
|
86 |
Boettcher AN, Hammoud DA, Weinberg JB, Agarwal P, Mendiratta-Lala M, Luker GD. Cancer Imaging and Patient Care during the COVID-19 Pandemic.Radiol Imaging Cancer. 2020;2:e200058. [PMID: 33778750 DOI: 10.1148/rycan.2020200058] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
87 |
Niang I, Thioub D, Diallo I, Diouf JCN, Diouf KN, Ba S. Un cas de COVID-19 compliqué d´embolie avec deux tests PCR initialement négatifs malgré des signes scanographiques. Pan Afr Med J 2020;35:98. [PMID: 33623622 DOI: 10.11604/pamj.supp.2020.35.2.24590] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
88 |
Borghesi A, Golemi S, Scrimieri A, Nicosia CMC, Zigliani A, Farina D, Maroldi R. Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19. Radiol Med 2022. [PMID: 35083642 DOI: 10.1007/s11547-022-01456-x] [Reference Citation Analysis]
|
89 |
Drozdov I, Szubert B, Reda E, Makary P, Forbes D, Chang SL, Ezhil A, Puttagunta S, Hall M, Carlin C, Lowe DJ. Development and prospective validation of COVID-19 chest X-ray screening model for patients attending emergency departments. Sci Rep 2021;11:20384. [PMID: 34650190 DOI: 10.1038/s41598-021-99986-3] [Reference Citation Analysis]
|
90 |
Chatzaraki V, Kubik-Huch RA, Potempa A, Gashi A, Friedl A, Heesen M, Wiggli B, Nocito A, Niemann T. Preoperative chest computed tomography in emergency surgery during COVID-19 pandemic. J Perioper Pract 2021;:17504589211024405. [PMID: 34351807 DOI: 10.1177/17504589211024405] [Reference Citation Analysis]
|
91 |
Perrone F, Balbi M, Casartelli C, Buti S, Milanese G, Sverzellati N, Bersanelli M. Differential diagnosis of COVID-19 at the chest computed tomography scan: A review with special focus on cancer patients. World J Radiol 2021; 13(8): 243-257 [PMID: 34567434 DOI: 10.4329/wjr.v13.i8.243] [Reference Citation Analysis]
|
92 |
Pecoraro M, Cipollari S, Marchitelli L, Messina E, Del Monte M, Galea N, Ciardi MR, Francone M, Catalano C, Panebianco V. Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19. Radiol Med 2021. [PMID: 34251585 DOI: 10.1007/s11547-021-01390-4] [Reference Citation Analysis]
|
93 |
Toraman S, Alakus TB, Turkoglu I. Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks. Chaos Solitons Fractals 2020;140:110122. [PMID: 32834634 DOI: 10.1016/j.chaos.2020.110122] [Cited by in Crossref: 66] [Cited by in F6Publishing: 32] [Article Influence: 33.0] [Reference Citation Analysis]
|
94 |
Negroni D, Zagaria D, Paladini A, Falaschi Z, Arcoraci A, Barini M, Carriero A. COVID-19 CT Scan Lung Segmentation: How We Do It. J Digit Imaging. [DOI: 10.1007/s10278-022-00593-z] [Reference Citation Analysis]
|
95 |
Gange CP, Pahade JK, Cortopassi I, Bader AS, Bokhari J, Hoerner M, Thomas KM, Rubinowitz AN. Social Distancing with Portable Chest Radiographs During the COVID-19 Pandemic: Assessment of Radiograph Technique and Image Quality Obtained at 6 Feet and Through Glass. Radiol Cardiothorac Imaging 2020;2:e200420. [PMID: 33778645 DOI: 10.1148/ryct.2020200420] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
96 |
Torres PPTES, Rabahi MF. Tuberculose em tempos de COVID-19: não podemos perder o foco no diagnóstico. Radiol Bras 2022;55:1-2. [DOI: 10.1590/0100-3984.2022.55.2e1] [Reference Citation Analysis]
|
97 |
Panayiotou A, Rafailidis V, Puttick T, Satchithananda K, Gray A, Sidhu PS. Escalation and de-escalation of the radiology response to COVID-19 in a tertiary hospital in South London: The King's College Hospital experience. Br J Radiol 2020;93:20201034. [PMID: 33112652 DOI: 10.1259/bjr.20201034] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
98 |
Akudjedu TN, Botwe BO, Wuni AR, Mishio NA. Impact of the COVID-19 pandemic on clinical radiography practice in low resource settings: The Ghanaian radiographers' perspective. Radiography (Lond). 2021;27:443-452. [PMID: 33168371 DOI: 10.1016/j.radi.2020.10.013] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
|
99 |
Jang SB, Lee SH, Lee DE, Park SY, Kim JK, Cho JW, Cho J, Kim KB, Park B, Park J, Lim JK. Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study. PLoS One 2020;15:e0242759. [PMID: 33232368 DOI: 10.1371/journal.pone.0242759] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
|
100 |
Trias-sabrià P, Dorca Duch E, Molina-molina M, Aso S, Díez-ferrer M, Marín Muñiz A, Bordas-martínez J, Sabater J, Luburich P, del Rio B, Solanich X, Dorca J, Santos S, Suárez-cuartin G. Radio-Histological Correlation of Lung Features in Severe COVID-19 Through CT-Scan and Lung Ultrasound Evaluation. Front Med 2022;9:820661. [DOI: 10.3389/fmed.2022.820661] [Reference Citation Analysis]
|
101 |
Matos J, Paparo F, Mussetto I, Bacigalupo L, Veneziano A, Perugin Bernardi S, Biscaldi E, Melani E, Antonucci G, Cremonesi P, Lattuada M, Pilotto A, Pontali E, Rollandi GA. Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome. Eur Radiol Exp 2020;4:39. [PMID: 32592118 DOI: 10.1186/s41747-020-00167-0] [Cited by in Crossref: 23] [Cited by in F6Publishing: 15] [Article Influence: 11.5] [Reference Citation Analysis]
|
102 |
Tay YX, Kothan S, Kada S, Cai S, Lai CWK. Challenges and optimization strategies in medical imaging service delivery during COVID-19. World J Radiol 2021;13:102-21. [PMID: 34141091 DOI: 10.4329/wjr.v13.i5.102] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
103 |
Calabrese F, Pezzuto F, Fortarezza F, Boscolo A, Lunardi F, Giraudo C, Cattelan A, Del Vecchio C, Lorenzoni G, Vedovelli L, Sella N, Rossato M, Rea F, Vettor R, Plebani M, Cozzi E, Crisanti A, Navalesi P, Gregori D. Machine learning-based analysis of alveolar and vascular injury in SARS-CoV-2 acute respiratory failure. J Pathol 2021;254:173-84. [PMID: 33626204 DOI: 10.1002/path.5653] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
|
104 |
Karthik R, Menaka R, Hariharan M, Kathiresan GS. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions. Ing Rech Biomed 2021. [PMID: 34336141 DOI: 10.1016/j.irbm.2021.07.002] [Reference Citation Analysis]
|
105 |
Sureka B, Garg PK, Saxena S, Garg MK, Misra S. Role of radiology in RT-PCR negative COVID-19 pneumonia: Review and recommendations. J Family Med Prim Care 2021;10:1814-7. [PMID: 34195108 DOI: 10.4103/jfmpc.jfmpc_2108_20] [Reference Citation Analysis]
|
106 |
Hadied MO, Patel PY, Cormier P, Poyiadji N, Salman M, Klochko C, Nadig J, Song T, Peterson E, Reeser N. Interobserver and Intraobserver Variability in the CT Assessment of COVID-19 Based on RSNA Consensus Classification Categories. Acad Radiol 2020;27:1499-506. [PMID: 32948442 DOI: 10.1016/j.acra.2020.08.038] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
|
107 |
Gezer NS, Ergan B, Barış MM, Appak Ö, Sayıner AA, Balcı P, Kuruüzüm Z, Çavuş SA, Kılınç O. COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging. Diagn Interv Radiol 2020;26:315-22. [PMID: 32558646 DOI: 10.5152/dir.2020.20351] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
|
108 |
De Sanctis V, Bedair EMA, Soliman AT, Nair AP, Al Masalamani MA, Yassin M. Proposed Scoring System for Evaluating Clinico-radiological Severity of COVID- 19 using Plain Chest X- ray (CXR) changes (CO X-RADS): Preliminary results. Acta Biomed 2020;91:e2020172. [PMID: 33525220 DOI: 10.23750/abm.v91i4.10664] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
|
109 |
Ufuk F, Demirci M, Sagtas E, Akbudak IH, Ugurlu E, Sari T. The prognostic value of pneumonia severity score and pectoralis muscle Area on chest CT in adult COVID-19 patients. Eur J Radiol 2020;131:109271. [PMID: 32942198 DOI: 10.1016/j.ejrad.2020.109271] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 8.5] [Reference Citation Analysis]
|
110 |
Wang Y, Chen Y, Wei Y, Li M, Zhang Y, Zhang N, Zhao S, Zeng H, Deng W, Huang Z, Ye Z, Wan S, Song B. Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: a preliminary study. Ann Transl Med. 2020;8:594. [PMID: 32566621 DOI: 10.21037/atm-20-3554] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 7.5] [Reference Citation Analysis]
|
111 |
Verma A, Amin SB, Naeem M, Saha M. Detecting COVID-19 from chest computed tomography scans using AI-driven android application. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105298] [Reference Citation Analysis]
|
112 |
Qiblawey Y, Tahir A, Chowdhury MEH, Khandakar A, Kiranyaz S, Rahman T, Ibtehaz N, Mahmud S, Maadeed SA, Musharavati F, Ayari MA. Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning. Diagnostics (Basel) 2021;11:893. [PMID: 34067937 DOI: 10.3390/diagnostics11050893] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
|
113 |
Valdés P, Rovira A, Guerrero J, Morales Á, Rovira M, Martínez C. Managing the pandemic from the radiology department's point of view. Radiologia (Engl Ed) 2020;62:503-14. [PMID: 33213870 DOI: 10.1016/j.rx.2020.10.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
|
114 |
Zhou Y, Zheng Y, Wen Y, Dai X, Liu W, Gong Q, Huang C, Lv F, Wu J. Radiation dose levels in chest computed tomography scans of coronavirus disease 2019 pneumonia: A survey of 2119 patients in Chongqing, southwest China. Medicine (Baltimore) 2021;100:e26692. [PMID: 34397803 DOI: 10.1097/MD.0000000000026692] [Reference Citation Analysis]
|
115 |
Landete P, Quezada Loaiza CA, Aldave-Orzaiz B, Muñiz SH, Maldonado A, Zamora E, Sam Cerna AC, del Cerro E, Alonso RC, Couñago F. Clinical features and radiological manifestations of COVID-19 disease. World J Radiol 2020; 12(11): 247-260 [PMID: 33362916 DOI: 10.4329/wjr.v12.i11.247] [Cited by in CrossRef: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
|
116 |
Kwon YS, Kim JY. Role of chest imaging in the diagnosis and treatment of COVID-19. J Korean Med Assoc 2021;64:655-63. [DOI: 10.5124/jkma.2021.64.10.655] [Reference Citation Analysis]
|
117 |
Kauczor HU, Welte T. The Role of CT in the Diagnosis of COVID-19-a State of Constant Flux. Dtsch Arztebl Int 2020;117:387-8. [PMID: 32762832 DOI: 10.3238/arztebl.2020.0387] [Reference Citation Analysis]
|
118 |
Sultan OM, Al-tameemi H, Alghazali DM, Abed M, Ghniem MNA, Hawiji DA, Alwateefee EA, Shubbar HDA, Tauah AH, Ibraheem NM, Abdulwahab AD, Abedtwfeq RH. Pulmonary ct manifestations of COVID-19: changes within 2 weeks duration from presentation. Egypt J Radiol Nucl Med 2020;51. [DOI: 10.1186/s43055-020-00223-0] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
|
119 |
Stanzione A, Ponsiglione A, Cuocolo R, Rumolo M, Santarsiere M, Scotto R, Viceconte G, Imbriaco M, Maurea S, Camera L, Gentile I, Brunetti A. Chest CT in COVID-19 patients: Structured vs conventional reporting. Eur J Radiol 2021;138:109621. [PMID: 33677417 DOI: 10.1016/j.ejrad.2021.109621] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
120 |
Wagner WL, Hellbach K, Fiedler MO, Salg GA, Wehrse E, Ziener CH, Merle U, Eckert C, Weber TF, Stiller W, Wielpütz MO, Dullin C, Kenngott HG, Schlemmer HP, Weigand MA, Schirmacher P, Longerich T, Kauczor HU, Kommoss FK, Schwab C. [Microvascular changes in COVID-19]. Radiologe 2020;60:934-42. [PMID: 32857175 DOI: 10.1007/s00117-020-00743-w] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
|
121 |
Sundaram SG, Aloyuni SA, Alharbi RA, Alqahtani T, Sikkandar MY, Subbiah C. Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images. Arab J Sci Eng 2021;:1-18. [PMID: 34395159 DOI: 10.1007/s13369-021-05958-0] [Reference Citation Analysis]
|
122 |
Suchá D, van Hamersvelt RW, van den Hoven AF, de Jong PA, Verkooijen HM. Suboptimal Quality and High Risk of Bias in Diagnostic Test Accuracy Studies at Chest Radiography and CT in the Acute Setting of the COVID-19 Pandemic: A Systematic Review. Radiol Cardiothorac Imaging 2020;2:e200342. [PMID: 33778613 DOI: 10.1148/ryct.2020200342] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
|
123 |
Moore JH, Barnett I, Boland MR, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman DS, Himes BE, Hubbard RA, Kim D, Morris JS, Mowery DL, Ritchie MD, Shen L, Urbanowicz R, Holmes JH. Ideas for how informaticians can get involved with COVID-19 research. BioData Min 2020;13:3. [PMID: 32419848 DOI: 10.1186/s13040-020-00213-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
|
124 |
Flor N, Tonolini M. From ground-glass opacities to pulmonary emboli. A snapshot of the evolving role of a radiology unit facing the COVID-19 outbreak. Clin Radiol 2020;75:556-7. [PMID: 32423638 DOI: 10.1016/j.crad.2020.04.009] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
|
125 |
Tas J, van Gassel RJJ, Heines SJH, Mulder MMG, Heijnen NFL, Acampo-de Jong MJ, Bels JLM, Bennis FC, Koelmann M, Groven RVM, Donkers MA, van Rosmalen F, Hermans BJM, Meex SJ, Mingels A, Bekers O, Savelkoul P, Oude Lashof AML, Wildberger J, Tijssen FH, Buhre W, Sels JEM, Ghossein-Doha C, Driessen RGH, Kubben PL, Janssen MLF, Nicolaes GAF, Strauch U, Geyik Z, Delnoij TSR, Walraven KHM, Stehouwer CD, Verbunt JAMCF, Van Mook WNKA, van Santen S, Schnabel RM, Aries MJH, van de Poll MCG, Bergmans D, van der Horst ICC, van Kuijk S, van Bussel BCT. Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort (MaastrICCht). BMJ Open 2020;10:e040175. [PMID: 32994259 DOI: 10.1136/bmjopen-2020-040175] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
|
126 |
Petite Felipe DJ, Rivera Campos MI, San Miguel Espinosa J, Malo Rubio Y, Flores Quan JC, Cuartero Revilla MV. Initial findings in chest X-rays as predictors of worsening lung infection in patients with COVID-19: correlation in 265 patients. Radiologia (Engl Ed) 2021;63:324-33. [PMID: 34246423 DOI: 10.1016/j.rxeng.2021.03.006] [Reference Citation Analysis]
|
127 |
Kottlors J, Zopfs D, Fervers P, Bremm J, Abdullayev N, Maintz D, Tritt S, Persigehl T. Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study. Eur J Radiol 2020;132:109274. [PMID: 32961451 DOI: 10.1016/j.ejrad.2020.109274] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
|
128 |
Degerli A, Ahishali M, Yamac M, Kiranyaz S, Chowdhury MEH, Hameed K, Hamid T, Mazhar R, Gabbouj M. COVID-19 infection map generation and detection from chest X-ray images. Health Inf Sci Syst 2021;9:15. [PMID: 33824721 DOI: 10.1007/s13755-021-00146-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
|
129 |
Avila RS, Fain SB, Hatt C, Armato SG 3rd, Mulshine JL, Gierada D, Silva M, Lynch DA, Hoffman EA, Ranallo FN, Mayo JR, Yankelevitz D, Estepar RSJ, Subramaniam R, Henschke CI, Guimaraes A, Sullivan DC. QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clin Imaging 2021;77:151-7. [PMID: 33684789 DOI: 10.1016/j.clinimag.2021.02.017] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
130 |
Ates OF, Taydas O, Dheir H. Thorax Magnetic Resonance Imaging Findings in Patients with Coronavirus Disease (COVID-19). Acad Radiol. 2020;27:1373-1378. [PMID: 32830031 DOI: 10.1016/j.acra.2020.08.009] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
|
131 |
Romberg EK, Menashe SJ, Kronman MP, Tang ER, Stanescu AL, Otto RK, Otjen JP. Pediatric radiologic manifestations of COVID-19. Clin Imaging 2021;75:165-70. [PMID: 33831747 DOI: 10.1016/j.clinimag.2021.03.032] [Reference Citation Analysis]
|
132 |
Ghodake GS, Shinde SK, Kadam AA, Saratale RG, Saratale GD, Syed A, Elgorban AM, Marraiki N, Kim DY. Biological characteristics and biomarkers of novel SARS-CoV-2 facilitated rapid development and implementation of diagnostic tools and surveillance measures. Biosens Bioelectron 2021;177:112969. [PMID: 33434780 DOI: 10.1016/j.bios.2021.112969] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
|
133 |
Schilp CM, Meijer L, Stocker M, Langermans JAM, Bakker J, Stammes MA. A Comparative Study of Chest CT With Lung Ultrasound After SARS-CoV-2 Infection in the Assessment of Pulmonary Lesions in Rhesus Monkeys (Macaca Mulatta). Front Vet Sci 2021;8:748635. [PMID: 34778433 DOI: 10.3389/fvets.2021.748635] [Reference Citation Analysis]
|
134 |
Meiler S, Hamer OW, Schaible J, Zeman F, Zorger N, Kleine H, Rennert J, Stroszczynski C, Poschenrieder F. Computed tomography characterization and outcome evaluation of COVID-19 pneumonia complicated by venous thromboembolism. PLoS One 2020;15:e0242475. [PMID: 33211737 DOI: 10.1371/journal.pone.0242475] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
135 |
Stevic R, Colic N, Milenkovic B, Masulovic D. Can chest radiographic findings determine disease severity in Covid-19-positive patients? A single-center study. Eur J Inflamm 2021;19:205873922110644. [DOI: 10.1177/20587392211064461] [Reference Citation Analysis]
|
136 |
Rossi A, Prochowski Iamurri A, Cerchione C, Gentili N, Danesi V, Altini M, Paganelli G, Barone D. Radiology imaging management in an Italian cancer center (IRST IRCCS) during the COVID-19 pandemic. Insights Imaging. 2020;11:129. [PMID: 33270166 DOI: 10.1186/s13244-020-00935-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
137 |
Altmayer S, Zanon M, Pacini GS, Watte G, Barros MC, Mohammed TL, Verma N, Marchiori E, Hochhegger B. Comparison of the computed tomography findings in COVID-19 and other viral pneumonia in immunocompetent adults: a systematic review and meta-analysis. Eur Radiol 2020;30:6485-96. [PMID: 32594211 DOI: 10.1007/s00330-020-07018-x] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 6.5] [Reference Citation Analysis]
|
138 |
Herpe G, Lederlin M, Naudin M, Ohana M, Chaumoitre K, Gregory J, Vilgrain V, Freitag CA, De Margerie-Mellon C, Flory V, Ludwig M, Mondot L, Fitton I, Jacquier ARR, Ardilouze P, Petit I, Gervaise A, Bayle O, Crombe A, Mekuko Sokeng M, Thomas C, Henry G, Bliah V, Le Tat T, Guillot MS, Gendrin P, Garetier M, Bertolle E, Montagne C, Langlet B, Kalaaji A, Kayayan H, Desmots F, Dhaene B, Saulnier PJ, Guillevin R, Bartoli JM, Beregi JP, Tasu JP. Efficacy of Chest CT for COVID-19 Pneumonia Diagnosis in France. Radiology. 2021;298:E81-E87. [PMID: 32870139 DOI: 10.1148/radiol.2020202568] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 8.0] [Reference Citation Analysis]
|
139 |
Heidinger BH, Kifjak D, Prayer F, Beer L, Milos RI, Röhrich S, Arndt H, Prosch H. [Radiological manifestations of pulmonary diseases in COVID-19]. Radiologe 2020;60:908-15. [PMID: 32897438 DOI: 10.1007/s00117-020-00749-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
140 |
Tudoran C, Tudoran M, Lazureanu VE, Marinescu AR, Cut TG, Oancea C, Pescariu SA, Pop GN. Factors Influencing the Evolution of Pulmonary Hypertension in Previously Healthy Subjects Recovering from a SARS-CoV-2 Infection. J Clin Med 2021;10:5272. [PMID: 34830554 DOI: 10.3390/jcm10225272] [Reference Citation Analysis]
|
141 |
Sohail S. Rational and practical use of imaging in COVID-19 pneumonia. Pak J Med Sci 2020;36:S130-3. [PMID: 32582332 DOI: 10.12669/pjms.36.COVID19-S4.2760] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
|
142 |
Schiaffino S, Giacomazzi F, Esseridou A, Cozzi A, Carriero S, Mazzaccaro DP, Nano G, Di Leo G, Spagnolo P, Sardanelli F. Pulmonary thromboembolism in coronavirus disease 2019 patients undergoing thromboprophylaxis. Medicine (Baltimore) 2021;100:e24002. [PMID: 33429763 DOI: 10.1097/MD.0000000000024002] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
143 |
Maurea S, Bombace C, Mainolfi CG, Annunziata A, Attanasio L, Stanzione A, Matano E, Mucci B, D’ambrosio A, Giordano C, Petretta M, Del Vecchio S, Cuocolo A. Impact of COVID-19 pandemic on 2-[18F]FDG PET/CT imaging work-flow in a single medical institution: comparison among the three Italian waves. Heliyon 2022. [DOI: 10.1016/j.heliyon.2022.e08819] [Reference Citation Analysis]
|
144 |
Baj J, Ciesielka M, Buszewicz G, Maciejewski R, Budzyńska B, Listos P, Teresiński G. COVID-19 in the autopsy room-requirements, safety, recommendations and pathological findings. Forensic Sci Med Pathol 2021;17:101-13. [PMID: 33394313 DOI: 10.1007/s12024-020-00341-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
|
145 |
Singh D, Kumar V, Kaur M, Kumari R. Early diagnosis of COVID-19 patients using deep learning-based deep forest model. Journal of Experimental & Theoretical Artificial Intelligence. [DOI: 10.1080/0952813x.2021.2021300] [Reference Citation Analysis]
|
146 |
Bhandari S, Singh S, Tak A, Patel B, Gupta J, Gupta K, Kakkar S, Darshan S, Arora A, Dube A. Independent role of CT chest scan in COVID-19 prognosis: Evidence from the machine learning classification. Scripta Medica 2021;52:273-8. [DOI: 10.5937/scriptamed52-34457] [Reference Citation Analysis]
|
147 |
Kalin S, Ciraci S, Cakir D, Oysu AS, Sozeri B, Demir F, Bukte Y. Evaluation of radiological findings in pediatric patients with COVID-19 in Turkey. North Clin Istanb 2021;8:332-9. [PMID: 34585066 DOI: 10.14744/nci.2020.97947] [Reference Citation Analysis]
|
148 |
Kanne JP, Bai H, Bernheim A, Chung M, Haramati LB, Kallmes DF, Little BP, Rubin G, Sverzellati N. COVID-19 Imaging: What We Know Now and What Remains Unknown. Radiology. 2021;204522. [PMID: 33560192 DOI: 10.1148/radiol.2021204522] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 10.0] [Reference Citation Analysis]
|
149 |
Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiol Artif Intell 2020;2:e200079. [PMID: 33928256 DOI: 10.1148/ryai.2020200079] [Cited by in Crossref: 26] [Cited by in F6Publishing: 17] [Article Influence: 13.0] [Reference Citation Analysis]
|
150 |
Wong MD, Thai T, Li Y, Liu H. The role of chest computed tomography in the management of COVID-19: A review of results and recommendations. Exp Biol Med (Maywood). 2020;245:1096-1103. [PMID: 32588660 DOI: 10.1177/1535370220938315] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
|
151 |
Asadi F, Shahnazari R, Bhalla N, Payam AF. Clinical evaluation of SARS-CoV-2 lung HRCT and RT-PCR Techniques: Towards risk factor based diagnosis of infectious diseases. Comput Struct Biotechnol J 2021;19:2699-707. [PMID: 33968332 DOI: 10.1016/j.csbj.2021.04.058] [Reference Citation Analysis]
|
152 |
Halpin DMG, Vogelmeier CF, Agusti AA. COPD & COVID-19. Arch Bronconeumol (Engl Ed) 2021;57:162-4. [PMID: 33551276 DOI: 10.1016/j.arbres.2021.01.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
153 |
Adams SJ, Dennie C. Chest imaging in patients with suspected COVID-19. CMAJ 2020;192:E676. [PMID: 32444480 DOI: 10.1503/cmaj.200626] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
154 |
Ojha V, Mani A, Pandey NN, Sharma S, Kumar S. CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients. Eur Radiol. 2020;30:6129-6138. [PMID: 32474632 DOI: 10.1007/s00330-020-06975-7] [Cited by in Crossref: 60] [Cited by in F6Publishing: 57] [Article Influence: 30.0] [Reference Citation Analysis]
|
155 |
Jha A, Lohani B, Ghimire RK. Current Imaging Trends in COVID-19 Pneumonia. JNMA J Nepal Med Assoc 2020;58:444-6. [PMID: 32788768 DOI: 10.31729/jnma.4992] [Reference Citation Analysis]
|
156 |
Baicry F, Le Borgne P, Fabacher T, Behr M, Lemaitre EL, Gayol PA, Harscoat S, Issur N, Garnier-Kepka S, Ohana M, Bilbault P, Oberlin M. Patients with Initial Negative RT-PCR and Typical Imaging of COVID-19: Clinical Implications. J Clin Med 2020;9:E3014. [PMID: 32962092 DOI: 10.3390/jcm9093014] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
|
157 |
Wang TV, Ito M. Spine Surgery: Precautions and Strategies to Minimize Perioperative Risks Amid COVID-19 Outbreak. Spine Surg Relat Res 2020;4:192-8. [PMID: 32864484 DOI: 10.22603/ssrr.2020-0076] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
158 |
Landini N, Colzani G, Ciet P, Tessarin G, Dorigo A, Bertana L, Felice C, Scaldaferri L, Orlandi M, Nardi C, Romagnoli M, Saba L, Rigoli R, Morana G. Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosis. Acta Radiol 2021;:2841851211055163. [PMID: 34779269 DOI: 10.1177/02841851211055163] [Reference Citation Analysis]
|
159 |
Tarmey T, Cullen G, Patel TY, Tandon YK. Thromboembolic Disease in COVID-19. J Clin Imaging Sci 2021;11:16. [PMID: 33880241 DOI: 10.25259/JCIS_108_2020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
160 |
Razek A, Fouda N, Fahmy D, Tanatawy MS, Sultan A, Bilal M, Zaki M, Abdel-Aziz M, Sobh D. Computed tomography of the chest in patients with COVID-19: what do radiologists want to know? Pol J Radiol 2021;86:e122-35. [PMID: 33758638 DOI: 10.5114/pjr.2021.104049] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
161 |
Chen Q, Chen L, Liu S, Chen L, Li M, Chen Z, You J, Zhang B, Zhang S. Three-Dimensional CT for Quantification of Longitudinal Lung and Pneumonia Variations in COVID-19 Patients. Front Med (Lausanne) 2021;8:643917. [PMID: 33842505 DOI: 10.3389/fmed.2021.643917] [Reference Citation Analysis]
|
162 |
Schiaffino S, Tritella S, Cozzi A, Carriero S, Blandi L, Ferraris L, Sardanelli F. Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy. J Thorac Imaging. 2020;35:W105-W106. [PMID: 32404797 DOI: 10.1097/rti.0000000000000533] [Cited by in Crossref: 45] [Cited by in F6Publishing: 31] [Article Influence: 22.5] [Reference Citation Analysis]
|
163 |
Kunze G, Kovacikova E, Haller H, Kumle B. [Lung ultrasound in patients with SARS-CoV-2 infection]. Notf Rett Med 2020;:1-9. [PMID: 32922166 DOI: 10.1007/s10049-020-00767-8] [Reference Citation Analysis]
|
164 |
Kamishima T, An Y, Fang W, Lu Y. Editorial for "Clinical Potential of UTE-MRI for Assessing the COVID-19: Patient- and Lesion-Based Comparative Analysis". J Magn Reson Imaging. 2020;52:956-957. [PMID: 32652680 DOI: 10.1002/jmri.27291] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
165 |
Planek MIC, Ruge M, Du Fay de Lavallaz JM, Kyung SB, Gomez JMD, Suboc TM, Williams KA, Volgman AS, Simmons JA, Rao AK. Cardiovascular findings on chest computed tomography associated with COVID-19 adverse clinical outcomes. Am Heart J Plus 2021;11:100052. [PMID: 34667971 DOI: 10.1016/j.ahjo.2021.100052] [Reference Citation Analysis]
|
166 |
Hwang EJ, Kim KB, Kim JY, Lim JK, Nam JG, Choi H, Kim H, Yoon SH, Goo JM, Park CM. COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system. PLoS One 2021;16:e0252440. [PMID: 34097708 DOI: 10.1371/journal.pone.0252440] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
167 |
Abdel-Tawab M, Basha MAA, Mohamed IAI, Ibrahim HM, Zaitoun MMA, Elsayed SB, Mahmoud NEM, El Sammak AA, Yousef HY, Aly SA, Khater HM, Mosallam W, Abo Shanab WS, Hendi AM, Hassan S. Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia. Insights Imaging 2021;12:55. [PMID: 33913066 DOI: 10.1186/s13244-021-00998-4] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
168 |
Al-Smadi AS, Bhatnagar A, Ali R, Lewis N, Johnson S. Correlation of chest radiography findings with the severity and progression of COVID-19 pneumonia. Clin Imaging 2021;71:17-23. [PMID: 33166898 DOI: 10.1016/j.clinimag.2020.11.004] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
|
169 |
Roshandel J, Alahyari S, Khazaei M, Asgari R, Moharamzad Y, Zarei E, Sanei Taheri M. Diagnostic performance of lung ultrasound compared to CT scan in the diagnosis of pulmonary lesions of COVID-19 induced pneumonia: a preliminary study. Virusdisease 2021;:1-7. [PMID: 34426793 DOI: 10.1007/s13337-021-00736-w] [Reference Citation Analysis]
|
170 |
Islam N, Ebrahimzadeh S, Salameh JP, Kazi S, Fabiano N, Treanor L, Absi M, Hallgrimson Z, Leeflang MM, Hooft L, van der Pol CB, Prager R, Hare SS, Dennie C, Spijker R, Deeks JJ, Dinnes J, Jenniskens K, Korevaar DA, Cohen JF, Van den Bruel A, Takwoingi Y, van de Wijgert J, Damen JA, Wang J, McInnes MD; Cochrane COVID-19 Diagnostic Test Accuracy Group. Thoracic imaging tests for the diagnosis of COVID-19. Cochrane Database Syst Rev 2021;3:CD013639. [PMID: 33724443 DOI: 10.1002/14651858.CD013639.pub4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
|
171 |
Rehani B, Rodriguez JA, Nguyen JK, Patel MM, Ammanuel SG, Winford E, Dillon WP. COVID-19 Radiology Preparedness, Challenges & Opportunities: Responses From 18 Countries. Curr Probl Diagn Radiol 2021:S0363-0188(21)00070-0. [PMID: 33994227 DOI: 10.1067/j.cpradiol.2021.03.017] [Reference Citation Analysis]
|
172 |
Kwee RM, Adams HJA, Kwee TC. Chest CT in Patients with COVID-19: Toward a Better Appreciation of Study Results and Clinical Applicability. Radiology 2021;298:E113-4. [PMID: 33289615 DOI: 10.1148/radiol.2020203702] [Reference Citation Analysis]
|
173 |
Savaş R, Öz Özcan A. Evaluation of lung volume loss with 3D CT volumetry in COVID-19 patients. Diagn Interv Radiol 2021;27:155-6. [PMID: 32876572 DOI: 10.5152/dir.2020.20451] [Reference Citation Analysis]
|
174 |
Gangloff C, Rafi S, Bouzillé G, Soulat L, Cuggia M. Machine learning is the key to diagnose COVID-19: a proof-of-concept study. Sci Rep 2021;11:7166. [PMID: 33785852 DOI: 10.1038/s41598-021-86735-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
175 |
[DOI: 10.1101/2020.11.07.20227504] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
176 |
Wong A, Lee JRH, Rahmat-khah H, Sabri A, Alaref A, Liu H. TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. Front Artif Intell 2022;5:827299. [DOI: 10.3389/frai.2022.827299] [Reference Citation Analysis]
|
177 |
van Ginneken B. The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia. Radiology 2021;299:E214-5. [PMID: 33236962 DOI: 10.1148/radiol.2020204238] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
178 |
Al-Umairi RS, Al-Kalbani J, Al-Tai S, Al-Abri A, Al-Kindi F, Kamona A. COVID-19 Associated Pneumonia: A review of chest radiograph and computed tomography findings. Sultan Qaboos Univ Med J 2021;21:e4-e11. [PMID: 33777418 DOI: 10.18295/squmj.2021.21.01.002] [Reference Citation Analysis]
|
179 |
Grassi R, Cappabianca S, Urraro F, Feragalli B, Montanelli A, Patelli G, Granata V, Giacobbe G, Russo GM, Grillo A, De Lisio A, Paura C, Clemente A, Gagliardi G, Magliocchetti S, Cozzi D, Fusco R, Belfiore MP, Grassi R, Miele V. Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software. Int J Environ Res Public Health 2020;17:E6914. [PMID: 32971756 DOI: 10.3390/ijerph17186914] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 6.5] [Reference Citation Analysis]
|
180 |
Falaschi Z, Danna PSC, Arioli R, Pasché A, Zagaria D, Percivale I, Tricca S, Barini M, Aquilini F, Andreoni S, Carriero A. Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases. Eur J Radiol 2020;130:109192. [PMID: 32738464 DOI: 10.1016/j.ejrad.2020.109192] [Cited by in Crossref: 24] [Cited by in F6Publishing: 20] [Article Influence: 12.0] [Reference Citation Analysis]
|
181 |
Halpin DMG, Criner GJ, Papi A, Singh D, Anzueto A, Martinez FJ, Agusti AA, Vogelmeier CF. Global Initiative for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease. The 2020 GOLD Science Committee Report on COVID-19 and Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2021;203:24-36. [PMID: 33146552 DOI: 10.1164/rccm.202009-3533SO] [Cited by in Crossref: 39] [Cited by in F6Publishing: 32] [Article Influence: 39.0] [Reference Citation Analysis]
|
182 |
Ko H, Chung H, Kang WS, Kim KW, Shin Y, Kang SJ, Lee JH, Kim YJ, Kim NY, Jung H, Lee J. COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation. J Med Internet Res 2020;22:e19569. [PMID: 32568730 DOI: 10.2196/19569] [Cited by in Crossref: 52] [Cited by in F6Publishing: 37] [Article Influence: 26.0] [Reference Citation Analysis]
|
183 |
Balbi M, Ristani A, Milanese G, Silva M, Ledda RE, Milone F, Sartorio C, Tringali G, Sverzellati N. The role of the radiologist in diagnosing the COVID-19 infection. Parma experiences. Acta Biomed 2020;91:169-71. [PMID: 32420940 DOI: 10.23750/abm.v91i2.9564] [Reference Citation Analysis]
|
184 |
Brun AL, Gence-Breney A, Trichereau J, Ballester MC, Vasse M, Chabi ML, Mellot F, Grenier PA. COVID-19 pneumonia: high diagnostic accuracy of chest CT in patients with intermediate clinical probability. Eur Radiol 2021;31:1969-77. [PMID: 33011877 DOI: 10.1007/s00330-020-07346-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
|
185 |
Sinitsyn VE, Tyurin IE, Mitkov VV. Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of Imaging (X-ray, CT and US) in Diagnosis of COVID-19 Pneumonia» (version 2). Vestn rentgenol radiol 2020;101:72-89. [DOI: 10.20862/0042-4676-2020-101-2-72-89] [Cited by in Crossref: 14] [Cited by in F6Publishing: 2] [Article Influence: 7.0] [Reference Citation Analysis]
|
186 |
Nair AV, Ramanathan S, Venugopalan P. Chest imaging in pregnant patients with COVID-19: Recommendations, justification, and optimization. Acta Radiologica Open 2022;11:205846012210773. [DOI: 10.1177/20584601221077394] [Reference Citation Analysis]
|
187 |
Spiro JE, Sisovic S, Ockert B, Böcker W, Siebenbürger G. Secondary tension pneumothorax in a COVID-19 pneumonia patient: a case report. Infection 2020;48:941-4. [PMID: 32557347 DOI: 10.1007/s15010-020-01457-w] [Cited by in Crossref: 16] [Cited by in F6Publishing: 22] [Article Influence: 8.0] [Reference Citation Analysis]
|
188 |
Savaş R. Alternative strategies for CT unit management during the COVID-19 pandemic: a single center experience. Diagn Interv Radiol 2021;27:152. [PMID: 32490827 DOI: 10.5152/dir.2020.20313] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
189 |
Hassan H, Ren Z, Zhou C, Khan MA, Pan Y, Zhao J, Huang B. Supervised and Weakly Supervised Deep Learning Models for COVID-19 CT Diagnosis: A Systematic Review. Computer Methods and Programs in Biomedicine 2022. [DOI: 10.1016/j.cmpb.2022.106731] [Reference Citation Analysis]
|
190 |
Diaz-Fuentes G, Yugay A, Jog A, Venkatram S. Outcomes of hospitalized patients with COVID-19 pneumonia, hypoxia, and a normal initial chest roentgenogram. Expert Rev Respir Med 2021;15:1613-7. [PMID: 34586937 DOI: 10.1080/17476348.2022.1987885] [Reference Citation Analysis]
|
191 |
Ravikanth R. Diagnostic accuracy and false-positive rate of chest CT as compared to RT-PCR in coronavirus disease 2019 (COVID-19) pneumonia: A prospective cohort of 612 cases from India and review of literature. Indian J Radiol Imaging 2021;31:S161-9. [PMID: 33814777 DOI: 10.4103/ijri.IJRI_377_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
192 |
Shaban WM, Rabie AH, Saleh AI, Abo-Elsoud MA. Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network. Appl Soft Comput 2021;99:106906. [PMID: 33204229 DOI: 10.1016/j.asoc.2020.106906] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
|
193 |
Schalekamp S, Bleeker-Rovers CP, Beenen LFM, Quarles van Ufford HME, Gietema HA, Stöger JL, Harris V, Reijers MHE, Rahamat-Langendoen J, Korevaar DA, Smits LP, Korteweg C, van Rees Vellinga TFD, Vermaat M, Stassen PM, Scheper H, Wijnakker R, Borm FJ, Dofferhoff ASM, Prokop M. Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience. Radiology 2021;298:E98-E106. [PMID: 33201791 DOI: 10.1148/radiol.2020203465] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
|
194 |
Machnicki S, Patel D, Singh A, Talwar A, Mina B, Oks M, Makkar P, Naidich D, Mehta A, Hill NS, Brown KK, Raoof S. The Usefulness of Chest CT Imaging in Patients With Suspected or Diagnosed COVID-19: A Review of Literature. Chest 2021;160:652-70. [PMID: 33861993 DOI: 10.1016/j.chest.2021.04.004] [Reference Citation Analysis]
|
195 |
Kardos AS, Simon J, Nardocci C, Szabó IV, Nagy N, Abdelrahman RH, Zsarnóczay E, Fejér B, Futácsi B, Müller V, Merkely B, Maurovich-Horvat P. The diagnostic performance of deep-learning-based CT severity score to identify COVID-19 pneumonia. Br J Radiol 2022;95:20210759. [PMID: 34889645 DOI: 10.1259/bjr.20210759] [Reference Citation Analysis]
|
196 |
Cristofaro M, Fusco N, Petrone A, Albarello F, Di Stefano F, Pianura E, Schininà V, Ianniello S, Campioni P. Increased Radiation Dose Exposure in Thoracic Computed Tomography in Patients with Covid-19. Radiation 2021;1:153-61. [DOI: 10.3390/radiation1020014] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
197 |
Erdaw Y, Tachbele E. Machine Learning Model Applied on Chest X-Ray Images Enables Automatic Detection of COVID-19 Cases with High Accuracy. Int J Gen Med 2021;14:4923-31. [PMID: 34483682 DOI: 10.2147/IJGM.S325609] [Reference Citation Analysis]
|
198 |
Calvo I, SantaCruz-Calvo S, Aranzana MG, Mármol P, Luque JÁ, Peral I, Quijada EM, Gómez C, Borrego C, Marín J. Digital Tomosynthesis and COVID-19: An Improvement in the Assessment of Pulmonary Opacities. Arch Bronconeumol (Engl Ed) 2020;56:761-3. [PMID: 32994088 DOI: 10.1016/j.arbres.2020.06.017] [Reference Citation Analysis]
|
199 |
Schachner ER, Spieler B. Three-dimensional (3D) lung segmentation for diagnosis of COVID-19 and the communication of disease impact to the public. BMJ Case Rep 2020;13:e236943. [PMID: 32816940 DOI: 10.1136/bcr-2020-236943] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
200 |
Maharjan J, Calvert J, Pellegrini E, Green-Saxena A, Hoffman J, McCoy A, Mao Q, Das R. Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays. Clin Imaging 2021;80:268-73. [PMID: 34425544 DOI: 10.1016/j.clinimag.2021.07.004] [Reference Citation Analysis]
|
201 |
Mortani Barbosa EJ Jr, Georgescu B, Chaganti S, Aleman GB, Cabrero JB, Chabin G, Flohr T, Grenier P, Grbic S, Gupta N, Mellot F, Nicolaou S, Re T, Sanelli P, Sauter AW, Yoo Y, Ziebandt V, Comaniciu D. Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort. Eur Radiol 2021. [PMID: 33934177 DOI: 10.1007/s00330-021-07937-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
202 |
Manna S, Wruble J, Maron SZ, Toussie D, Voutsinas N, Finkelstein M, Cedillo MA, Diamond J, Eber C, Jacobi A, Chung M, Bernheim A. COVID-19: A Multimodality Review of Radiologic Techniques, Clinical Utility, and Imaging Features.Radiol Cardiothorac Imaging. 2020;2:e200210. [PMID: 33778588 DOI: 10.1148/ryct.2020200210] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 8.5] [Reference Citation Analysis]
|
203 |
Kassin MT, Varble N, Blain M, Xu S, Turkbey EB, Harmon S, Yang D, Xu Z, Roth H, Xu D, Flores M, Amalou A, Sun K, Kadri S, Patella F, Cariati M, Scarabelli A, Stellato E, Ierardi AM, Carrafiello G, An P, Turkbey B, Wood BJ. Generalized chest CT and lab curves throughout the course of COVID-19. Sci Rep 2021;11:6940. [PMID: 33767213 DOI: 10.1038/s41598-021-85694-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
204 |
Pang C, Hou Q, Yang Z, Ren L. Chest computed tomography as a primary tool in COVID-19 detection: an update meta-analysis. Clin Transl Imaging 2021;:1-11. [PMID: 34055674 DOI: 10.1007/s40336-021-00434-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
205 |
Tsai EB, Simpson S, Lungren MP, Hershman M, Roshkovan L, Colak E, Erickson BJ, Shih G, Stein A, Kalpathy-Cramer J, Shen J, Hafez M, John S, Rajiah P, Pogatchnik BP, Mongan J, Altinmakas E, Ranschaert ER, Kitamura FC, Topff L, Moy L, Kanne JP, Wu CC. The RSNA International COVID-19 Open Radiology Database (RICORD). Radiology 2021;299:E204-13. [PMID: 33399506 DOI: 10.1148/radiol.2021203957] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
|
206 |
Gianella P, Rigamonti E, Marando M, Tamburello A, Grazioli Gauthier L, Argentieri G, Puligheddu C, Pagnamenta A, Pons M, Fusi-Schmidhauser T. Clinical, radiological and functional outcomes in patients with SARS-CoV-2 pneumonia: a prospective observational study. BMC Pulm Med 2021;21:136. [PMID: 33902513 DOI: 10.1186/s12890-021-01509-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
|
207 |
Zhou Y, Ren H, Wang S, You F, Feng L, Wang M, Wang J. The evolution of chest CT findings from admission to follow-up in 30 moderate to severe adult patients with COVID-19 pneumonia. Chin J Acad Radiol 2021;:1-7. [PMID: 33718774 DOI: 10.1007/s42058-021-00058-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
208 |
Ho TT, Park J, Kim T, Park B, Lee J, Kim JY, Kim KB, Choi S, Kim YH, Lim JK, Choi S. Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study. JMIR Med Inform 2021;9:e24973. [PMID: 33455900 DOI: 10.2196/24973] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
|
209 |
Koo HJ, Choi SH, Sung H, Choe J, Do KH. RadioGraphics Update: Radiographic and CT Features of Viral Pneumonia. Radiographics. 2020;40:E8-E15. [PMID: 32501740 DOI: 10.1148/rg.2020200097] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
|
210 |
Hoegger MJ, Shetty AS, Denner DR, Gould JE, Wahl RL, Raptis CA, Ballard DH. A Snapshot of Radiology Training During the Early COVID-19 Pandemic. Curr Probl Diagn Radiol 2021;50:607-13. [PMID: 32690337 DOI: 10.1067/j.cpradiol.2020.06.012] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
|
211 |
Kim HW, Capaccione KM, Li G, Luk L, Widemon RS, Rahman O, Beylergil V, Mitchell R, D'Souza BM, Leb JS, Dumeer S, Bentley-Hibbert S, Liu M, Jambawalikar S, Austin JHM, Salvatore M. The role of initial chest X-ray in triaging patients with suspected COVID-19 during the pandemic. Emerg Radiol 2020;27:617-21. [PMID: 32572707 DOI: 10.1007/s10140-020-01808-y] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 7.0] [Reference Citation Analysis]
|
212 |
Mallio CA, Napolitano A, Castiello G, Giordano FM, D'Alessio P, Iozzino M, Sun Y, Angeletti S, Russano M, Santini D, Tonini G, Zobel BB, Vincenzi B, Quattrocchi CC. Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis. Cancers (Basel) 2021;13:652. [PMID: 33562011 DOI: 10.3390/cancers13040652] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
213 |
Bende F, Tudoran C, Sporea I, Fofiu R, Bâldea V, Cotrău R, Popescu A, Sirli R, Ungureanu BS, Tudoran M. A Multidisciplinary Approach to Evaluate the Presence of Hepatic and Cardiac Abnormalities in Patients with Post-Acute COVID-19 Syndrome-A Pilot Study. J Clin Med 2021;10:2507. [PMID: 34204032 DOI: 10.3390/jcm10112507] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
|
214 |
Narayanan B, Hardie R, Krishnaraja V, Karam C, Davuluru V. Transfer-to-Transfer Learning Approach for Computer Aided Detection of COVID-19 in Chest Radiographs. AI 2020;1:539-57. [DOI: 10.3390/ai1040032] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 3.5] [Reference Citation Analysis]
|
215 |
Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese G, Silva M, Sverzellati N, Michieletti E. Well-aerated Lung on Admitting Chest CT to Predict Adverse Outcome in COVID-19 Pneumonia. Radiology 2020;296:E86-96. [PMID: 32301647 DOI: 10.1148/radiol.2020201433] [Cited by in Crossref: 176] [Cited by in F6Publishing: 171] [Article Influence: 88.0] [Reference Citation Analysis]
|
216 |
Ebrahimzadeh S, Islam N, Dawit H, Salameh JP, Kazi S, Fabiano N, Treanor L, Absi M, Ahmad F, Rooprai P, Al Khalil A, Harper K, Kamra N, Leeflang MM, Hooft L, van der Pol CB, Prager R, Hare SS, Dennie C, Spijker R, Deeks JJ, Dinnes J, Jenniskens K, Korevaar DA, Cohen JF, Van den Bruel A, Takwoingi Y, van de Wijgert J, Wang J, Pena E, Sabongui S, McInnes MD; Cochrane COVID-19 Diagnostic Test Accuracy Group. Thoracic imaging tests for the diagnosis of COVID-19. Cochrane Database Syst Rev 2022;5:CD013639. [PMID: 35575286 DOI: 10.1002/14651858.CD013639.pub5] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
217 |
Aiello M, Baldi D, Esposito G, Valentino M, Randon M, Salvatore M, Cavaliere C. Evaluation of AI-Based Segmentation Tools for COVID-19 Lung Lesions on Conventional and Ultra-low Dose CT Scans. Dose-Response 2022;20:155932582210828. [DOI: 10.1177/15593258221082896] [Reference Citation Analysis]
|
218 |
Musolino AM, Supino MC, Buonsenso D, Ferro V, Valentini P, Magistrelli A, Lombardi MH, Romani L, D'Argenio P, Campana A; Roman Lung Ultrasound Study Team for Pediatric COVID-19 (ROMULUS COVID Team). Lung Ultrasound in Children with COVID-19: Preliminary Findings. Ultrasound Med Biol. 2020;46:2094-2098. [PMID: 32409232 DOI: 10.1016/j.ultrasmedbio.2020.04.026] [Cited by in Crossref: 63] [Cited by in F6Publishing: 58] [Article Influence: 31.5] [Reference Citation Analysis]
|
219 |
Rosen MP, Norbash A, Kruskal J, Meltzer CC, Yee J, Thrall J. Impact of Coronavirus Disease 2019 (COVID-19) on the Practice of Clinical Radiology. J Am Coll Radiol. 2020;17:1096-1100. [PMID: 32721410 DOI: 10.1016/j.jacr.2020.07.002] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
|
220 |
Gaia C, Maria Chiara C, Silvia L, Chiara A, Maria Luisa C, Giulia B, Silvia P, Lucia C, Alessandra T, Annarita S, Cristina V, Maria A, Maria Rosaria D, Giacinta A, Riccardo G, Zaher K, Andrea L, Maddalena B, Catalano C, Paolo R. Chest CT for early detection and management of coronavirus disease (COVID-19): a report of 314 patients admitted to Emergency Department with suspected pneumonia. Radiol Med 2020;125:931-42. [PMID: 32729028 DOI: 10.1007/s11547-020-01256-1] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 7.5] [Reference Citation Analysis]
|
221 |
Zali A, Sohrabi MR, Mahdavi A, Khalili N, Taheri MS, Maher A, Sadoughi M, Zarghi A, Ziai SA, Shabestari AA, Bakhshayeshkaram M, Haghighatkhah H, Salevatipour B, Abrishami A, Raoufi M, Dehghan P, Bagheri AK, Khoshnoud RJ, Hanani K. Correlation Between Low-Dose Chest Computed Tomography and RT-PCR Results for the Diagnosis of COVID-19: A Report of 27,824 Cases in Tehran, Iran. Acad Radiol 2020:S1076-6332(20)30542-0. [PMID: 33020043 DOI: 10.1016/j.acra.2020.09.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
|
222 |
Tartaglione E, Barbano CA, Berzovini C, Calandri M, Grangetto M. Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data. Int J Environ Res Public Health 2020;17:E6933. [PMID: 32971995 DOI: 10.3390/ijerph17186933] [Cited by in Crossref: 38] [Cited by in F6Publishing: 29] [Article Influence: 19.0] [Reference Citation Analysis]
|
223 |
Martínez Chamorro E, Díez Tascón A, Ibáñez Sanz L, Ossaba Vélez S, Borruel Nacenta S. Radiologic diagnosis of patients with COVID-19. Radiología (English Edition) 2021;63:56-73. [DOI: 10.1016/j.rxeng.2020.11.001] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
224 |
Martínez Chamorro E, Díez Tascón A, Ibáñez Sanz L, Ossaba Vélez S, Borruel Nacenta S. Radiologic diagnosis of patients with COVID-19. Radiologia (Engl Ed) 2021;63:56-73. [PMID: 33339622 DOI: 10.1016/j.rx.2020.11.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
|
225 |
Orlacchio A, Gasparrini F, Roma S, Ravà MS, Salvatori E, Morosetti D, Cossu E, Legramante JM, Paganelli C, Bernardini S, Minieri M. Correlations between chest-CT and laboratory parameters in SARS-CoV-2 pneumonia: A single-center study from Italy. Medicine (Baltimore) 2021;100:e25310. [PMID: 33832103 DOI: 10.1097/MD.0000000000025310] [Reference Citation Analysis]
|
226 |
Inui S, Gonoi W, Kurokawa R, Nakai Y, Watanabe Y, Sakurai K, Ishida M, Fujikawa A, Abe O. The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19). Insights Imaging 2021;12:155. [PMID: 34727257 DOI: 10.1186/s13244-021-01096-1] [Reference Citation Analysis]
|
227 |
Pedrosa C. Are we ready? Radiologia (Engl Ed) 2020;62:249-51. [PMID: 32471626 DOI: 10.1016/j.rx.2020.05.001] [Reference Citation Analysis]
|
228 |
Dortet L, Emeraud C, Vauloup-Fellous C, Khecharem M, Ronat JB, Fortineau N, Roque-Afonso AM, Naas T. Rapid Determination of SARS-CoV-2 antibodies using a bedside, point-of-Care, serological test. Emerg Microbes Infect 2020;9:2212-21. [PMID: 32969769 DOI: 10.1080/22221751.2020.1826892] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
|
229 |
Cozzi D, Cavigli E, Moroni C, Smorchkova O, Zantonelli G, Pradella S, Miele V. Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-19. Jpn J Radiol 2021;39:721-32. [PMID: 33900542 DOI: 10.1007/s11604-021-01120-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
|
230 |
Montani D, Savale L, Noel N, Meyrignac O, Colle R, Gasnier M, Corruble E, Beurnier A, Jutant EM, Pham T, Lecoq AL, Papon JF, Figueiredo S, Harrois A, Humbert M, Monnet X; COMEBAC Study Group. Post-acute COVID-19 syndrome. Eur Respir Rev 2022;31:210185. [PMID: 35264409 DOI: 10.1183/16000617.0185-2021] [Reference Citation Analysis]
|
231 |
Nagpal P, Guo J, Shin KM, Lim JK, Kim KB, Comellas AP, Kaczka DW, Peterson S, Lee CH, Hoffman EA. Quantitative CT imaging and advanced visualization methods: potential application in novel coronavirus disease 2019 (COVID-19) pneumonia. BJR Open 2021;3:20200043. [PMID: 33718766 DOI: 10.1259/bjro.20200043] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
232 |
Kohli A, Joshi A, Shah A, Jain RD, Gorlawar A, Dhapare A, Desai J, Shetty A, Shah C, Ostwal P, Talraja A. Does CT help in reducing RT-PCR false negative rate for COVID-19? Indian J Radiol Imaging 2021;31:S80-6. [PMID: 33814765 DOI: 10.4103/ijri.IJRI_739_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
233 |
Fricks RB, Ria F, Chalian H, Khoshpouri P, Abadi E, Bianchi L, Segars WP, Samei E. Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training. J Med Imaging (Bellingham) 2021;8:064501. [PMID: 34869785 DOI: 10.1117/1.JMI.8.6.064501] [Reference Citation Analysis]
|
234 |
García Santos JM, Plasencia Martínez JM, Fabuel Ortega P, Lozano Ros M, Sánchez Ayala MC, Pérez Hernández G, Menchón Martínez P. Radiology departments as COVID-19 entry-door might improve healthcare efficacy and efficiency, and emergency department safety. Insights Imaging 2021;12:1. [PMID: 33398669 DOI: 10.1186/s13244-020-00954-8] [Reference Citation Analysis]
|
235 |
Wáng YXJ. CT suggests discharged Covid-19 patients who were retested RT-PCR positive again for SARS-CoV-2 more likely had false negative RT-PCR tests before discharging. Quant Imaging Med Surg 2020;10:1396-400. [PMID: 32550641 DOI: 10.21037/qims-2020-19] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
|
236 |
Cavagna E, Muratore F, Ferrari F. Pulmonary Thromboembolism in COVID-19: Venous Thromboembolism or Arterial Thrombosis? Radiol Cardiothorac Imaging 2020;2:e200289. [PMID: 33778609 DOI: 10.1148/ryct.2020200289] [Cited by in Crossref: 21] [Cited by in F6Publishing: 13] [Article Influence: 10.5] [Reference Citation Analysis]
|
237 |
Biebau C, Dubbeldam A, Cockmartin L, Coudyze W, Coolen J, Verschakelen J, De Wever W. Comparing Visual Scoring of Lung Injury with a Quantifying AI-Based Scoring in Patients with COVID-19. J Belg Soc Radiol 2021;105:16. [PMID: 33870080 DOI: 10.5334/jbsr.2330] [Reference Citation Analysis]
|
238 |
Tsujikawa T, Umeda Y, Itoh H, Sakai T, Iwasaki H, Okazawa H, Ishizuka T, Kimura H. Radiological perspective of COVID-19 pneumonia: The early features and progressive behaviour on high-resolution CT. J Med Imaging Radiat Oncol 2021;65:208-12. [PMID: 33491340 DOI: 10.1111/1754-9485.13139] [Reference Citation Analysis]
|
239 |
Nikolaou V, Massaro S, Fakhimi M, Stergioulas L, Garn W. COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network. Health Inf Sci Syst 2021;9:36. [PMID: 34659742 DOI: 10.1007/s13755-021-00166-4] [Reference Citation Analysis]
|
240 |
Tahtabasi M, Kilicaslan N, Akin Y, Karaman E, Gezer M, Icen YK, Sahiner F. The Prognostic Value of Vertebral Bone Density on Chest CT in Hospitalized COVID-19 Patients. J Clin Densitom 2021:S1094-6950(21)00061-5. [PMID: 34353732 DOI: 10.1016/j.jocd.2021.07.007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
241 |
Gatti M, Calandri M, Barba M, Biondo A, Geninatti C, Gentile S, Greco M, Morrone V, Piatti C, Santonocito A, Varello S, Bergamasco L, Cavallo R, Di Stefano R, Riccardini F, Boccuzzi A, Limerutti G, Veltri A, Fonio P, Faletti R. Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data. Radiol Med 2020;125:1271-9. [PMID: 32894449 DOI: 10.1007/s11547-020-01272-1] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
|
242 |
Orsi MA, Oliva G, Toluian T, Valenti Pittino C, Panzeri M, Cellina M. Feasibility, Reproducibility, and Clinical Validity of a Quantitative Chest X-Ray Assessment for COVID-19. Am J Trop Med Hyg 2020;103:822-7. [PMID: 32618262 DOI: 10.4269/ajtmh.20-0535] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
|
243 |
Harmon SA, Sanford TH, Xu S, Turkbey EB, Roth H, Xu Z, Yang D, Myronenko A, Anderson V, Amalou A, Blain M, Kassin M, Long D, Varble N, Walker SM, Bagci U, Ierardi AM, Stellato E, Plensich GG, Franceschelli G, Girlando C, Irmici G, Labella D, Hammoud D, Malayeri A, Jones E, Summers RM, Choyke PL, Xu D, Flores M, Tamura K, Obinata H, Mori H, Patella F, Cariati M, Carrafiello G, An P, Wood BJ, Turkbey B. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nat Commun. 2020;11:4080. [PMID: 32796848 DOI: 10.1038/s41467-020-17971-2] [Cited by in Crossref: 82] [Cited by in F6Publishing: 78] [Article Influence: 41.0] [Reference Citation Analysis]
|
244 |
Kerpel A, Apter S, Nissan N, Houri-Levi E, Klug M, Amit S, Konen E, Marom EM. Diagnostic and Prognostic Value of Chest Radiographs for COVID-19 at Presentation. West J Emerg Med. 2020;21:1067-1075. [PMID: 32970556 DOI: 10.5811/westjem.2020.7.48842] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
|
245 |
Jiang MD, Zu ZY, Schoepf UJ, Savage RH, Zhang XL, Lu GM, Zhang LJ. Current Status of Etiology, Epidemiology, Clinical Manifestations and Imagings for COVID-19. Korean J Radiol 2020;21:1138-49. [PMID: 32767867 DOI: 10.3348/kjr.2020.0526] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
|
246 |
Larsen LH, Desai B, Cen SY, Stahl D, Lei X, Gholamrezanezhad A, Yamashita M. Addressing ethnic disparities in imaging utilization and clinical outcomes for COVID-19. Clin Imaging 2021;77:276-82. [PMID: 34167069 DOI: 10.1016/j.clinimag.2021.06.018] [Reference Citation Analysis]
|
247 |
Coppola F, Faggioni L, Neri E, Grassi R, Miele V. Impact of the COVID-19 outbreak on the profession and psychological wellbeing of radiologists: a nationwide online survey. Insights Imaging 2021;12:23. [PMID: 33595747 DOI: 10.1186/s13244-021-00962-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
|
248 |
De Smet K, De Smet D, Ryckaert T, Laridon E, Heremans B, Vandenbulcke R, Demedts I, Bouckaert B, Gryspeerdt S, Martens GA. Diagnostic Performance of Chest CT for SARS-CoV-2 Infection in Individuals with or without COVID-19 Symptoms. Radiology. 2021;298:E30-E37. [PMID: 32776832 DOI: 10.1148/radiol.2020202708] [Cited by in Crossref: 24] [Cited by in F6Publishing: 20] [Article Influence: 12.0] [Reference Citation Analysis]
|
249 |
Homayounieh F, Holmberg O, Umairi RA, Aly S, Basevičius A, Costa PR, Darweesh A, Gershan V, Ilves P, Kostova-Lefterova D, Renha SK, Mohseni I, Rampado O, Rotaru N, Shirazu I, Sinitsyn V, Turk T, Van Ngoc Ty C, Kalra MK, Vassileva J. Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study. Radiology 2021;298:E141-51. [PMID: 33170104 DOI: 10.1148/radiol.2020203453] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 5.5] [Reference Citation Analysis]
|
250 |
Yurdaisik I, Nurili F, Aksoy SH, Agirman AG, Aktan A. IONIZING RADIATION EXPOSURE IN PATIENTS WITH COVID-19: MORE THAN NEEDED. Radiat Prot Dosimetry 2021;194:135-43. [PMID: 34151376 DOI: 10.1093/rpd/ncab092] [Reference Citation Analysis]
|
251 |
D'souza MM, Kaushik A, Dsouza JM, Kanwar R, Lodhi V, Sharma R, Mishra AK. Does the initial chest radiograph severity in COVID-19 impact the short- and long-term outcome? - a perspective from India. Infect Dis (Lond) 2021;:1-10. [PMID: 34961400 DOI: 10.1080/23744235.2021.2018135] [Reference Citation Analysis]
|
252 |
Petite Felipe DJ, Rivera Campos MI, San Miguel Espinosa J, Malo Rubio Y, Flores Quan JC, Cuartero Revilla MV. Initial findings in chest X-rays as predictors of worsening lung infection in patients with COVID-19: correlation in 265 patients. Radiologia 2021;63:324-33. [PMID: 33902938 DOI: 10.1016/j.rx.2021.03.004] [Reference Citation Analysis]
|
253 |
Caruso D, Polici M, Zerunian M, Pucciarelli F, Polidori T, Guido G, Rucci C, Bracci B, Muscogiuri E, De Dominicis C, Laghi A. Quantitative Chest CT analysis in discriminating COVID-19 from non-COVID-19 patients. Radiol Med 2021;126:243-9. [PMID: 33044733 DOI: 10.1007/s11547-020-01291-y] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 7.0] [Reference Citation Analysis]
|
254 |
Yoon SH, Ham SY, Nam BD, Chae KJ, Lee D, Yoo JY, Bak SH, Kim JY, Kim JH, Kim KB, Jung JI, Lim JK, Lee JE, Chung MJ, Lee YK, Kim YS, Jo JE, Lee SM, Kwon W, Park CM, Kim YH, Jeong YJ. Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019. J Korean Med Sci 2020;35:e413. [PMID: 33258333 DOI: 10.3346/jkms.2020.35.e413] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
255 |
Ramadan HK, Mahmoud MA, Aburahma MZ, Elkhawaga AA, El-Mokhtar MA, Sayed IM, Hosni A, Hassany SM, Medhat MA. Predictors of Severity and Co-Infection Resistance Profile in COVID-19 Patients: First Report from Upper Egypt. Infect Drug Resist 2020;13:3409-22. [PMID: 33116660 DOI: 10.2147/IDR.S272605] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 9.0] [Reference Citation Analysis]
|
256 |
Meirelles GSP. COVID-19: a brief update for radiologists. Radiol Bras. 2020;53:320-328. [PMID: 33071376 DOI: 10.1590/0100-3984.2020.0074] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
|
257 |
Hamilton NE, Adam GH, Ifan DL, Lam SS, Johnson K, Vedwan KAG, Shambrook JS, Peebles CR, Harden SP, Abbas A. Diagnostic utility of additional whole-chest CT as part of an acute abdominal pain CT imaging pathway during the COVID-19 pandemic. Clin Radiol. 2020;75:592-598. [PMID: 32546365 DOI: 10.1016/j.crad.2020.06.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
|
258 |
Cozzi A, Schiaffino S, Arpaia F, Della Pepa G, Tritella S, Bertolotti P, Menicagli L, Monaco CG, Carbonaro LA, Spairani R, Babaei Paskeh B, Sardanelli F. Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance. Eur J Radiol 2020;132:109272. [PMID: 32971326 DOI: 10.1016/j.ejrad.2020.109272] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
|
259 |
Chen T, Guo D, Lu J, Xiang B, Li X, Nie J, He X, Li K. The role of chest CT in management of asymptomatic SARS-CoV-2 infections: A longitudinal multi-center study in Chongqing, China. Int J Med Sci 2021;18:520-7. [PMID: 33390821 DOI: 10.7150/ijms.50705] [Reference Citation Analysis]
|
260 |
Farias LPG, Fonseca EKUN, Strabelli DG, Loureiro BMC, Neves YCS, Rodrigues TP, Chate RC, Nomura CH, Sawamura MVY, Cerri GG. Imaging findings in COVID-19 pneumonia. Clinics (Sao Paulo) 2020;75:e2027. [PMID: 32578826 DOI: 10.6061/clinics/2020/e2027] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
|
261 |
Stammes MA, Lee JH, Meijer L, Naninck T, Doyle-Meyers LA, White AG, Borish HJ, Hartman AL, Alvarez X, Ganatra S, Kaushal D, Bohm RP, le Grand R, Scanga CA, Langermans JAM, Bontrop RE, Finch CL, Flynn JL, Calcagno C, Crozier I, Kuhn JH. Medical imaging of pulmonary disease in SARS-CoV-2-exposed non-human primates. Trends Mol Med 2021:S1471-4914(21)00316-6. [PMID: 34955425 DOI: 10.1016/j.molmed.2021.12.001] [Reference Citation Analysis]
|
262 |
Yu L, Shi X, Liu X, Jin W, Jia X, Xi S, Wang A, Li T, Zhang X, Tian G, Sun D. Artificial Intelligence Systems for Diagnosis and Clinical Classification of COVID-19. Front Microbiol 2021;12:729455. [PMID: 34650534 DOI: 10.3389/fmicb.2021.729455] [Reference Citation Analysis]
|
263 |
BiebaÛ CM, Desmet JN, Dubbeldam A, Cockmartin L, Coudyzer WM, Coolen J, Verschakelen JA, De Wever W. Radiological findings in low-dose CT for COVID-19 pneumonia in 182 patients: Correlation of signs and severity with patient outcome. Medicine (Baltimore) 2022;101:e28950. [PMID: 35244053 DOI: 10.1097/MD.0000000000028950] [Reference Citation Analysis]
|
264 |
El Naqa I, Li H, Fuhrman J, Hu Q, Gorre N, Chen W, Giger ML. Lessons learned in transitioning to AI in the medical imaging of COVID-19. J Med Imaging (Bellingham) 2021;8:010902-10902. [PMID: 34646912 DOI: 10.1117/1.JMI.8.S1.010902] [Reference Citation Analysis]
|
265 |
Fontanellaz M, Ebner L, Huber A, Peters A, Löbelenz L, Hourscht C, Klaus J, Munz J, Ruder T, Drakopoulos D, Sieron D, Primetis E, Heverhagen JT, Mougiakakou S, Christe A. A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study. Invest Radiol 2021;56:348-56. [PMID: 33259441 DOI: 10.1097/RLI.0000000000000748] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
|
266 |
Catapano F, Marchitelli L, Cundari G, Cilia F, Mancuso G, Pambianchi G, Galea N, Ricci P, Catalano C, Francone M. Role of advanced imaging in COVID-19 cardiovascular complications. Insights Imaging 2021;12:28. [PMID: 33625637 DOI: 10.1186/s13244-021-00973-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
|
267 |
Gatti M, Calandri M, Biondo A, Geninatti C, Piatti C, Ruggirello I, Santonocito A, Varello S, Bergamasco L, Bironzo P, Boccuzzi A, Brazzi L, Caironi P, Cardinale L, Cavallo R, Riccardini F, Limerutti G, Veltri A, Fonio P, Faletti R. Emergency room comprehensive assessment of demographic, radiological, laboratory and clinical data of patients with COVID-19: determination of its prognostic value for in-hospital mortality. Intern Emerg Med 2021. [PMID: 33683539 DOI: 10.1007/s11739-021-02669-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
268 |
Monaco CG, Zaottini F, Schiaffino S, Villa A, Della Pepa G, Carbonaro LA, Menicagli L, Cozzi A, Carriero S, Arpaia F, Di Leo G, Astengo D, Rosenberg I, Sardanelli F. Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study. Eur Radiol Exp 2020;4:68. [PMID: 33319321 DOI: 10.1186/s41747-020-00195-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
|
269 |
Rahman MM, Nooruddin S, Hasan KMA, Dey NK. HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images. SN Comput Sci 2021;2:371. [PMID: 34254055 DOI: 10.1007/s42979-021-00762-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
270 |
Gerotziafas GT, Sergentanis TN, Voiriot G, Lassel L, Papageorgiou C, Elabbadi A, Turpin M, Vandreden P, Papageorgiou L, Psaltopoulou T, Terpos E, Dimopoulos MA, Parrot A, Cadranel J, Pialoux G, Fartoukh M, Elalamy I. Derivation and Validation of a Predictive Score for Disease Worsening in Patients with COVID-19. Thromb Haemost 2020;120:1680-90. [PMID: 32961572 DOI: 10.1055/s-0040-1716544] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 6.0] [Reference Citation Analysis]
|
271 |
Borges da Silva Teles G, Kaiser Ururahy Nunes Fonseca E, Yokoo P, Marques Almeida Silva M, Yanata E, Shoji H, Bastos Duarte Passos R, Caruso Chate R, Szarf G. Performance of Chest Computed Tomography in Differentiating Coronavirus Disease 2019 From Other Viral Infections Using a Standardized Classification. J Thorac Imaging 2021;36:31-6. [PMID: 33003105 DOI: 10.1097/RTI.0000000000000563] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
272 |
Liu H, Luo S, Zhang Y, Jiang Y, Jiang Y, Wang Y, Li H, Huang C, Zhang S, Li X, Tan Y, Wang W. Chest CT Features of 182 Patients with Mild Coronavirus Disease 2019 (COVID-19) Pneumonia: A Longitudinal, Retrospective and Descriptive Study. Infect Dis Ther 2020;9:1029-41. [PMID: 33067768 DOI: 10.1007/s40121-020-00352-z] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
|
273 |
Sushentsev N, Bura V, Kotnik M, Shiryaev G, Caglic I, Weir-McCall J, Barrett T. A head-to-head comparison of the intra- and interobserver agreement of COVID-RADS and CO-RADS grading systems in a population with high estimated prevalence of COVID-19. BJR Open 2020;2:20200053. [PMID: 33367202 DOI: 10.1259/bjro.20200053] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
|
274 |
Nino G, Zember J, Sanchez-Jacob R, Gutierrez MJ, Sharma K, Linguraru MG. Pediatric lung imaging features of COVID-19: A systematic review and meta-analysis. Pediatr Pulmonol. 2021;56:252-263. [PMID: 32926572 DOI: 10.1002/ppul.25070] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 6.5] [Reference Citation Analysis]
|
275 |
Cohen JP, Dao L, Roth K, Morrison P, Bengio Y, Abbasi AF, Shen B, Mahsa HK, Ghassemi M, Li H, Duong TQ. Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning. Cureus 2020;12:e9448. [PMID: 32864270 DOI: 10.7759/cureus.9448] [Cited by in Crossref: 32] [Cited by in F6Publishing: 33] [Article Influence: 16.0] [Reference Citation Analysis]
|
276 |
Vetrugno L, Baciarello M, Bignami E, Bonetti A, Saturno F, Orso D, Girometti R, Cereser L, Bove T. The "pandemic" increase in lung ultrasound use in response to Covid-19: can we complement computed tomography findings? A narrative review. Ultrasound J 2020;12:39. [PMID: 32785855 DOI: 10.1186/s13089-020-00185-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
|
277 |
Rajaraman S, Siegelman J, Alderson PO, Folio LS, Folio LR, Antani SK. Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. IEEE Access 2020;8:115041-50. [PMID: 32742893 DOI: 10.1109/access.2020.3003810] [Cited by in Crossref: 60] [Cited by in F6Publishing: 25] [Article Influence: 30.0] [Reference Citation Analysis]
|
278 |
Cleverley J, Piper J, Jones MM. The role of chest radiography in confirming covid-19 pneumonia. BMJ. 2020;370:m2426. [PMID: 32675083 DOI: 10.1136/bmj.m2426] [Cited by in Crossref: 48] [Cited by in F6Publishing: 34] [Article Influence: 24.0] [Reference Citation Analysis]
|
279 |
Pontone G, Scafuri S, Mancini ME, Agalbato C, Guglielmo M, Baggiano A, Muscogiuri G, Fusini L, Andreini D, Mushtaq S, Conte E, Annoni A, Formenti A, Gennari AG, Guaricci AI, Rabbat MR, Pompilio G, Pepi M, Rossi A. Role of computed tomography in COVID-19. J Cardiovasc Comput Tomogr. 2021;15:27-36. [PMID: 32952101 DOI: 10.1016/j.jcct.2020.08.013] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
|
280 |
Grando RD, Brentano VB, Zanardo AP, Hertz FT, Júnior LCA, Prietto Dos Santos JF, Galvão GS, Zavascki AP, Gazzana MB. Clinical usefulness of tomographic standards for COVID-19 pneumonia diagnosis: Experience from a Brazilian reference center. Braz J Infect Dis 2020;24:524-33. [PMID: 33157033 DOI: 10.1016/j.bjid.2020.10.002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
281 |
Gravell RJ, Theodoreson MD, Buonsenso D, Curtis J. Radiological manifestations of COVID-19: key points for the physician. Br J Hosp Med (Lond). 2020;81:1-11. [PMID: 32589534 DOI: 10.12968/hmed.2020.0231] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
282 |
Carubbi F, Salvati L, Alunno A, Maggi F, Borghi E, Mariani R, Mai F, Paoloni M, Ferri C, Desideri G, Cicogna S, Grassi D. Ferritin is associated with the severity of lung involvement but not with worse prognosis in patients with COVID-19: data from two Italian COVID-19 units. Sci Rep 2021;11:4863. [PMID: 33649408 DOI: 10.1038/s41598-021-83831-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
|
283 |
P SAB, Annavarapu CSR. Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification. Appl Intell (Dordr) 2021;:1-17. [PMID: 34764590 DOI: 10.1007/s10489-021-02199-4] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
284 |
Halpin DMG, Vogelmeier CF, Agusti AA. COPD & COVID-19. Arch Bronconeumol (Engl Ed) 2021;57:162-4. [PMID: 33994646 DOI: 10.1016/j.arbr.2021.01.004] [Reference Citation Analysis]
|
285 |
Schiaffino S, Codari M, Cozzi A, Albano D, Alì M, Arioli R, Avola E, Bnà C, Cariati M, Carriero S, Cressoni M, Danna PSC, Della Pepa G, Di Leo G, Dolci F, Falaschi Z, Flor N, Foà RA, Gitto S, Leati G, Magni V, Malavazos AE, Mauri G, Messina C, Monfardini L, Paschè A, Pesapane F, Sconfienza LM, Secchi F, Segalini E, Spinazzola A, Tombini V, Tresoldi S, Vanzulli A, Vicentin I, Zagaria D, Fleischmann D, Sardanelli F. Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features. J Pers Med 2021;11:501. [PMID: 34204911 DOI: 10.3390/jpm11060501] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
286 |
Maheshwari S, Sharma RR, Kumar M. LBP-based information assisted intelligent system for COVID-19 identification. Comput Biol Med 2021;134:104453. [PMID: 33957343 DOI: 10.1016/j.compbiomed.2021.104453] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
287 |
Giurgi-Oncu C, Tudoran C, Pop GN, Bredicean C, Pescariu SA, Giurgiuca A, Tudoran M. Cardiovascular Abnormalities and Mental Health Difficulties Result in a Reduced Quality of Life in the Post-Acute COVID-19 Syndrome. Brain Sci 2021;11:1456. [PMID: 34827455 DOI: 10.3390/brainsci11111456] [Reference Citation Analysis]
|
288 |
Goyal A, Tiwari R, Bagarhatta M, Ashwini B, Rathi B, Bhandari S. Role of portable chest radiography in management of COVID-19: Experience of 422 patients from a tertiary care center in India. Indian J Radiol Imaging 2021;31:S94-S100. [PMID: 33814767 DOI: 10.4103/ijri.IJRI_480_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
289 |
Sabri YY, Nassef AA, Ibrahim IMH, Abd El Mageed MR, Khairy MA. CT chest for COVID-19, a multicenter study—experience with 220 Egyptian patients. Egypt J Radiol Nucl Med 2020;51. [DOI: 10.1186/s43055-020-00263-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
|
290 |
Jajodia A, Ebner L, Heidinger B, Chaturvedi A, Prosch H. Imaging in corona virus disease 2019 (COVID-19)-A Scoping review. Eur J Radiol Open. 2020;7:100237. [PMID: 32395567 DOI: 10.1016/j.ejro.2020.100237] [Cited by in Crossref: 24] [Cited by in F6Publishing: 21] [Article Influence: 12.0] [Reference Citation Analysis]
|
291 |
Bluemke DA. Top Publications in Radiology, 2020. Radiology 2020;297:1-2. [DOI: 10.1148/radiol.2020209016] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
292 |
Lieveld AWE, Kok B, Schuit FH, Azijli K, Heijmans J, van Laarhoven A, Assman NL, Kootte RS, Olgers TJ, Nanayakkara PWB, Bosch FH. Diagnosing COVID-19 pneumonia in a pandemic setting: Lung Ultrasound versus CT (LUVCT) - a multicentre, prospective, observational study. ERJ Open Res. 2020;6. [PMID: 33442553 DOI: 10.1183/23120541.00539-2020] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 8.0] [Reference Citation Analysis]
|
293 |
Sun Z, Zhang N, Li Y, Xu X. A systematic review of chest imaging findings in COVID-19. Quant Imaging Med Surg. 2020;10:1058-1079. [PMID: 32489929 DOI: 10.21037/qims-20-564] [Cited by in Crossref: 49] [Cited by in F6Publishing: 42] [Article Influence: 24.5] [Reference Citation Analysis]
|
294 |
Baratella E, Crivelli P, Marrocchio C, Bozzato AM, Vito A, Madeddu G, Saderi L, Confalonieri M, Tenaglia L, Cova MA. Severity of lung involvement on chest X-rays in SARS-coronavirus-2 infected patients as a possible tool to predict clinical progression: an observational retrospective analysis of the relationship between radiological, clinical, and laboratory data. J Bras Pneumol 2020;46:e20200226. [PMID: 32965310 DOI: 10.36416/1806-3756/e20200226] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
|
295 |
Fayemiwo MA, Olowookere TA, Arekete SA, Ogunde AO, Odim MO, Oguntunde BO, Olaniyan OO, Ojewumi TO, Oyetade IS, Aremu AA, Kayode AA. Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset. PeerJ Comput Sci 2021;7:e614. [PMID: 34435093 DOI: 10.7717/peerj-cs.614] [Reference Citation Analysis]
|
296 |
Islam N, Salameh J, Leeflang MM, Hooft L, Mcgrath TA, van der Pol CB, Frank RA, Kazi S, Prager R, Hare SS, Dennie C, Spijker R, Deeks JJ, Dinnes J, Jenniskens K, Korevaar DA, Cohen JF, Van den Bruel A, Takwoingi Y, van de Wijgert J, Wang J, Mcinnes MD; Cochrane Infectious Diseases Group, Cochrane COVID-19 Diagnostic Test Accuracy Group. Thoracic imaging tests for the diagnosis of COVID-19. Cochrane Database of Systematic Reviews. [DOI: 10.1002/14651858.cd013639.pub3] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 7.0] [Reference Citation Analysis]
|
297 |
Wan YL, Schoepf UJ, Wu CC, Giovagnoli DP, Wu MT, Hsu HH, Chang YC, Yang CT, Cherng WJ. Preparedness and Best Practice in Radiology Department for COVID-19 and Other Future Pandemics of Severe Acute Respiratory Infection. J Thorac Imaging. 2020;35:239-245. [PMID: 32384412 DOI: 10.1097/rti.0000000000000529] [Cited by in Crossref: 11] [Cited by in F6Publishing: 6] [Article Influence: 5.5] [Reference Citation Analysis]
|
298 |
Dortet L, Ronat JB, Vauloup-Fellous C, Langendorf C, Mendels DA, Emeraud C, Oueslati S, Girlich D, Chauvin A, Afdjei A, Bernabeu S, Le Pape S, Kallala R, Rochard A, Verstuyft C, Fortineau N, Roque-Afonso AM, Naas T. Evaluating 10 Commercially Available SARS-CoV-2 Rapid Serological Tests by Use of the STARD (Standards for Reporting of Diagnostic Accuracy Studies) Method. J Clin Microbiol 2021;59:e02342-20. [PMID: 33239381 DOI: 10.1128/JCM.02342-20] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
|
299 |
Serena Low WC, Chuah JH, Tee CATH, Anis S, Shoaib MA, Faisal A, Khalil A, Lai KW. An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19. Comput Math Methods Med 2021;2021:5528144. [PMID: 34194535 DOI: 10.1155/2021/5528144] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
300 |
Caballero-Milán M, Colomina MJ, Marin-Carcey LA, Viguera-Fernandez L, Bayona-Domenge R, Garcia-Ballester S, López-Farre A, Ruiz-Buera L, Sanz-Iturbe M, Álvarez-Villegas D, Jenssen-Paz EC, Puig-Sanz G, Arcos-Terrones A, Belmonte-Cuenca C, Perelada-Alonso E, Blasco-Blasco F, Sabaté A. Impact of the SARS-CoV-2 (COVID19) pandemic on the morbidity and mortality of high risk patients undergoing surgery: a non-inferiority retrospective observational study. BMC Anesthesiol 2021;21:295. [PMID: 34836504 DOI: 10.1186/s12871-021-01495-3] [Reference Citation Analysis]
|
301 |
Timaran-Montenegro DE, Torres-Ramírez CA, Morales-Jaramillo LM, Mateo-Camacho YS, Tapia-Rangel EA, Fuentes-Badillo KD, Hernández-Rojas AM, Morales-Domínguez V, Saenz-Castillo PF, Parra-Guerrero LM, Jacome-Portilla KI, Obrando-Bravo DE, Contla-Trejo GS, Falla-Trujillo MG, Punzo-Alcaraz GR, Feria-Arroyo GA, Chávez-Sastre AJ, Govea-Palma J, Carrillo-Álvarez S, Orozco-Vázquez JDS. Computed Tomography-based Lung Residual Volume and Mortality of Patients With Coronavirus Disease-19 (COVID-19). J Thorac Imaging 2021;36:65-72. [PMID: 33600123 DOI: 10.1097/RTI.0000000000000572] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
|
302 |
Colombi D, Villani GD, Maffi G, Risoli C, Bodini FC, Petrini M, Morelli N, Anselmi P, Milanese G, Silva M, Sverzellati N, Michieletti E. Qualitative and quantitative chest CT parameters as predictors of specific mortality in COVID-19 patients. Emerg Radiol 2020;27:701-10. [PMID: 33119835 DOI: 10.1007/s10140-020-01867-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
|
303 |
Yılmaz Demirci N, Uğraş Dikmen A, Taşçı C, Doğan D, Arslan Y, Öcal N, Taşar M, Bozlar U, Artuk C, Yılmaz G, Karacaer Z, Avcı İY, Tuncer Ertem G, Erdinç FŞ, Kınıklı S, Altun Demircan Ş, Ergün E, Nercis Koşar P, Karakoç AE, Gökçek A, Aloğlu M, Gülgösteren S, Atikcan Ş, Akçay Ş, Erol Ç, Hekimoğlu K, Cerit MN, Erbaş G, Özger HS, Bozdayı G, Şenol E, Yurdakul AS, Yılmaz A. Relationship between chest computed tomography findings and clinical conditions of coronavirus disease (COVID-19): A multicentre experience. Int J Clin Pract 2021;75:e14459. [PMID: 34105857 DOI: 10.1111/ijcp.14459] [Reference Citation Analysis]
|
304 |
Sanli DET, Yildirim D, Sanli AN, Turkmen S, Erozan N, Husmen G, Altundag A, Tuzuner F. A practical approach to imaging characteristics and standardized reporting of COVID-19: a radiologic review. Mil Med Res 2021;8:7. [PMID: 33487174 DOI: 10.1186/s40779-021-00301-y] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
305 |
Nair AV, McInnes M, Jacob B, Kumar D, Soman DK, Subair HSV, Mahajan PS, Shah MAH, Sabawi MAS, Al-Heidous M. Diagnostic accuracy and inter-observer agreement with the CO-RADS lexicon for CT chest reporting in COVID-19. Emerg Radiol 2021. [PMID: 34302561 DOI: 10.1007/s10140-021-01967-6] [Reference Citation Analysis]
|
306 |
Palumbo P, Massimi F, Biondi A, Cirocchi R, De Luca GM, Giraudo G, Intini SG, Monzani R, Sozio G, Usai S; Società Italiana di Chirurgia Ambulatoriale e Day Surgery (SICADS) Board. Recommendations for outpatient activity in COVID-19 pandemic. Open Med (Wars) 2021;16:1696-704. [PMID: 34805532 DOI: 10.1515/med-2021-0378] [Reference Citation Analysis]
|
307 |
de Carvalho LS, da Silva Júnior RT, Oliveira BVS, de Miranda YS, Rebouças NLF, Loureiro MS, Pinheiro SLR, da Silva RS, Correia PVSLM, Silva MJS, Ribeiro SN, da Silva FAF, de Brito BB, Santos MLC, Leal RAOS, Oliveira MV, de Melo FF. Highlighting COVID-19: What the imaging exams show about the disease. World J Radiol 2021; 13(5): 122-136 [PMID: 34141092 DOI: 10.4329/wjr.v13.i5.122] [Reference Citation Analysis]
|
308 |
Simoni P, Bazzocchi A, Boitsios G, De Leucio A, Preziosi M, Aparisi Gómez MP. Chest computed tomography (CT) features in children with reverse transcription-polymerase chain reaction (RT-PCR)-confirmed COVID-19: A systematic review. J Med Imaging Radiat Oncol 2020;64:649-59. [PMID: 33000560 DOI: 10.1111/1754-9485.13098] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
|
309 |
Gillman AG, Lunardo F, Prinable J, Belous G, Nicolson A, Min H, Terhorst A, Dowling JA. Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review. Phys Eng Sci Med 2021. [PMID: 34919204 DOI: 10.1007/s13246-021-01093-0] [Reference Citation Analysis]
|
310 |
Vespro V, Andrisani MC, Fusco S, Di Meglio L, Plensich G, Scarabelli A, Stellato E, Ierardi AM, Scudeller L, Coppola A, Gori A, Pesenti A, Grasselli G, Aliberti S, Blasi F, Villa C, Ippolito S, Pirrò B, Damiani G, Galli M, Rizzardini G, Catena E, Orlandi MA, Magnani S, Cipolla G, Ianniello AA, Petrillo M, Xhepa G, Scamporrino A, Cazzulani A, Carrafiello G. Chest X-ray findings in a large cohort of 1117 patients with SARS-CoV-2 infection: a multicenter study during COVID-19 outbreak in Italy. Intern Emerg Med 2021;16:1173-81. [PMID: 33216258 DOI: 10.1007/s11739-020-02561-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
|
311 |
Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, Abidin AZ, Liu A, Costa AB, Wood BJ, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan P, Xu D, Wu D, Huang E, Kitamura FC, Lacey G, de Antônio Corradi GC, Nino G, Shin HH, Obinata H, Ren H, Crane JC, Tetreault J, Guan J, Garrett JW, Kaggie JD, Park JG, Dreyer K, Juluru K, Kersten K, Rockenbach MABC, Linguraru MG, Haider MA, AbdelMaseeh M, Rieke N, Damasceno PF, E Silva PMC, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist TM, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon YJ, Quraini A, Feng A, Priest AN, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Díez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess CP, Compas C, Bhatia D, Oermann EK, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Murthy KNK, Fu LC, de Mendonça MRF, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod SL, Reed S, Gräf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lavor VL, Rakvongthai Y, Lee YR, Wen Y, Gilbert FJ, Flores MG, Li Q. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med 2021;27:1735-43. [PMID: 34526699 DOI: 10.1038/s41591-021-01506-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
312 |
Quarato CMI, Venuti M, Lacedonia D, Simeone A, Dimitri LMC, Rea G, Ferragalli B, Sperandeo M. The Role of Transthoracic Ultrasound in the novel Coronavirus Disease (COVID-19): A Reappraisal. Information and Disinformation: Is There Still Place for a Scientific Debate? Front Med (Lausanne) 2020;7:271. [PMID: 32671079 DOI: 10.3389/fmed.2020.00271] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
|
313 |
Bluemke DA. Editor's Note: 2020-A Year Like No Other for Radiology. Radiology 2021;298:243-4. [PMID: 33350896 DOI: 10.1148/radiol.2020209028] [Reference Citation Analysis]
|
314 |
Silva CF, Alegria J, Ramos C, Verdugo J, Diaz JC, Varela C, Barbe M. RSNA-STR-ACR Consensus Statement for COVID-19 CT Patterns: Interreader Agreement in 240 Consecutive Patients and Association With RT-PCR Status. J Comput Assist Tomogr 2021;45:485-9. [PMID: 33797444 DOI: 10.1097/RCT.0000000000001162] [Reference Citation Analysis]
|
315 |
Tabatabaei SMH, Talari H, Gholamrezanezhad A, Farhood B, Rahimi H, Razzaghi R, Mehri N, Rajebi H. A low-dose chest CT protocol for the diagnosis of COVID-19 pneumonia: a prospective study. Emerg Radiol 2020;27:607-15. [PMID: 32789807 DOI: 10.1007/s10140-020-01838-6] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
|
316 |
Demirjian NL, Fields BKK, Song C, Reddy S, Desai B, Cen SY, Salehi S, Gholamrezanezhad A. Impacts of the Coronavirus Disease 2019 (COVID-19) pandemic on healthcare workers: A nationwide survey of United States radiologists. Clin Imaging 2020;68:218-25. [PMID: 32892107 DOI: 10.1016/j.clinimag.2020.08.027] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 8.0] [Reference Citation Analysis]
|
317 |
Tordjman M, Mekki A, Mali RD, Saab I, Chassagnon G, Guillo E, Burns R, Eshagh D, Beaune S, Madelin G, Bessis S, Feydy A, Mihoubi F, Doumenc B, Mouthon L, Carlier RY, Drapé JL, Revel MP. Pre-test probability for SARS-Cov-2-related infection score: The PARIS score. PLoS One 2020;15:e0243342. [PMID: 33332360 DOI: 10.1371/journal.pone.0243342] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
|
318 |
Schiaffino S, Albano D, Cozzi A, Messina C, Arioli R, Bnà C, Bruno A, Carbonaro LA, Carriero A, Carriero S, Danna PSC, D'Ascoli E, De Berardinis C, Della Pepa G, Falaschi Z, Gitto S, Malavazos AE, Mauri G, Monfardini L, Paschè A, Rizzati R, Secchi F, Vanzulli A, Tombini V, Vicentin I, Zagaria D, Sardanelli F, Sconfienza LM. CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19. Radiology 2021;300:E328-36. [PMID: 33724065 DOI: 10.1148/radiol.2021204141] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
|
319 |
Carotti M, Salaffi F, Sarzi-Puttini P, Agostini A, Borgheresi A, Minorati D, Galli M, Marotto D, Giovagnoni A. Chest CT features of coronavirus disease 2019 (COVID-19) pneumonia: key points for radiologists. Radiol Med. 2020;125:636-646. [PMID: 32500509 DOI: 10.1007/s11547-020-01237-4] [Cited by in Crossref: 59] [Cited by in F6Publishing: 42] [Article Influence: 29.5] [Reference Citation Analysis]
|
320 |
Barros LM, Pigoga JL, Chea S, Hansoti B, Hirner S, Papali A, Rudd KE, Schultz MJ, Calvello Hynes EJ, For The Covid-Lmic Task Force And The Mahidol-Oxford Research Unit Moru Bangkok Thailand. Pragmatic Recommendations for Identification and Triage of Patients with COVID-19 Disease in Low- and Middle-Income Countries. Am J Trop Med Hyg 2021. [PMID: 33410394 DOI: 10.4269/ajtmh.20-1064] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
|
321 |
Korkmaz İ, Keleş F. COVID-19-Related Lung Involvement at Different Time Intervals: Evaluation of Computed Tomography Images With Semiquantitative Scoring System and COVID-19 Reporting and Data System Scoring. Cureus 2021;13:e18554. [PMID: 34765340 DOI: 10.7759/cureus.18554] [Reference Citation Analysis]
|
322 |
Kundu S, Elhalawani H, Gichoya JW, Kahn CE Jr. How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries? Radiol Artif Intell 2020;2:e200053. [PMID: 33928254 DOI: 10.1148/ryai.2020200053] [Cited by in Crossref: 19] [Cited by in F6Publishing: 7] [Article Influence: 9.5] [Reference Citation Analysis]
|
323 |
Luo N, Zhang H, Zhou Y, Kong Z, Sun W, Huang N, Zhang A. Utility of chest CT in diagnosis of COVID-19 pneumonia. Diagn Interv Radiol. 2020;26:437-442. [PMID: 32490829 DOI: 10.5152/dir.2020.20144] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
|
324 |
Schalekamp S, Huisman M, van Dijk RA, Boomsma MF, Freire Jorge PJ, de Boer WS, Herder GJM, Bonarius M, Groot OA, Jong E, Schreuder A, Schaefer-Prokop CM. Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19. Radiology 2021;298:E46-54. [PMID: 32787701 DOI: 10.1148/radiol.2020202723] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 8.5] [Reference Citation Analysis]
|
325 |
Knol WG, Thuijs DJFM, Odink AE, Maurovich-Horvat P, de Jong PA, Krestin GP, Bogers AJJC, Budde RPJ. Preoperative Chest Computed Tomography Screening for Coronavirus Disease 2019 in Asymptomatic Patients Undergoing Cardiac Surgery. Semin Thorac Cardiovasc Surg 2021;33:417-24. [PMID: 32979478 DOI: 10.1053/j.semtcvs.2020.09.027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
326 |
Kohli A. Was non-utilisation of computed tomography as a public health tool a costly lapse in closing the pandemic? Indian J Radiol Imaging 2021;31:S1-3. [PMID: 33814754 DOI: 10.4103/ijri.IJRI_978_20] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
327 |
Sim JZT, Ting Y, Tang Y, Feng Y, Lei X, Wang X, Chen W, Huang S, Wong S, Lu Z, Cui Y, Teo S, Xu X, Huang W, Tan C. Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs. Healthcare 2022;10:175. [DOI: 10.3390/healthcare10010175] [Reference Citation Analysis]
|
328 |
Mohammad SA, Osman AM, Abd-elhameed AM, Ahmed KA, Taha NM, Saleh A, Omar A, El-meteini M, Mohamed MA. The battle against Covid-19: the experience of an Egyptian radiology department in a university setting. Egypt J Radiol Nucl Med 2020;51. [DOI: 10.1186/s43055-020-00335-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
|
329 |
Neri E, Coppola F, Larici AR, Sverzellati N, Mazzei MA, Sacco P, Dalpiaz G, Feragalli B, Miele V, Grassi R. Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal. Insights Imaging 2020;11:92. [PMID: 32785803 DOI: 10.1186/s13244-020-00901-7] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
|
330 |
Lázaro-Pérez C, Martínez-López JÁ, Gómez-Galán J, López-Meneses E. Anxiety About the Risk of Death of Their Patients in Health Professionals in Spain: Analysis at the Peak of the COVID-19 Pandemic. Int J Environ Res Public Health 2020;17:E5938. [PMID: 32824258 DOI: 10.3390/ijerph17165938] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 7.0] [Reference Citation Analysis]
|
331 |
Khosravi B, Aghaghazvini L, Sorouri M, Naybandi Atashi S, Abdollahi M, Mojtabavi H, Khodabakhshi M, Motamedi F, Azizi F, Rajabi Z, Kasaeian A, Sima AR, Davarpanah AH, Radmard AR. Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia. Heart Lung 2021;50:13-20. [PMID: 33097297 DOI: 10.1016/j.hrtlng.2020.10.005] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
|
332 |
Bello Martinez R, Ghesani M, Ghesani N, Gavane S. Asymptomatic SARS-CoV-2 infection: Incidental findings on FDG PET/CT. J Med Imaging Radiat Sci 2021;52:179-85. [PMID: 33820742 DOI: 10.1016/j.jmir.2021.03.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
333 |
Gietema HA, Zelis N, Nobel JM, Lambriks LJG, van Alphen LB, Oude Lashof AML, Wildberger JE, Nelissen IC, Stassen PM. CT in relation to RT-PCR in diagnosing COVID-19 in The Netherlands: A prospective study. PLoS One 2020;15:e0235844. [PMID: 32645053 DOI: 10.1371/journal.pone.0235844] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 9.5] [Reference Citation Analysis]
|
334 |
Arevalo-Rodriguez I, Seron P, Buitrago-García D, Ciapponi A, Muriel A, Zambrano-Achig P, Del Campo R, Galán-Montemayor JC, Simancas-Racines D, Perez-Molina JA, Khan KS, Zamora J. Recommendations for SARS-CoV-2/COVID-19 testing: a scoping review of current guidance. BMJ Open 2021;11:e043004. [PMID: 33408209 DOI: 10.1136/bmjopen-2020-043004] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
335 |
Kottlors J, Große Hokamp N, Fervers P, Bremm J, Fichter F, Persigehl T, Safarov O, Maintz D, Tritt S, Abdullayev N. Early extrapulmonary prognostic features in chest computed tomography in COVID-19 pneumonia: Bone mineral density is a relevant predictor for the clinical outcome - A multicenter feasibility study. Bone 2021;144:115790. [PMID: 33301962 DOI: 10.1016/j.bone.2020.115790] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
336 |
Näppi JJ, Uemura T, Watari C, Hironaka T, Kamiya T, Yoshida H. U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19. Sci Rep 2021;11:9263. [PMID: 33927287 DOI: 10.1038/s41598-021-88591-z] [Reference Citation Analysis]
|
337 |
Colombi D, Petrini M, Maffi G, Villani GD, Bodini FC, Morelli N, Milanese G, Silva M, Sverzellati N, Michieletti E. Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence.Eur J Radiol. 2020;133:109344. [PMID: 33091835 DOI: 10.1016/j.ejrad.2020.109344] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
|
338 |
Ahmad Z, Goswami S, Paneerselvam A, Kabilan K, Chowdhury H, Roy A, Guleria R, Soni KD, Baruah U, Das CJ. Imaging of Coronavirus Disease 2019 Infection From Head to Toe: A Primer for the Radiologist. Curr Probl Diagn Radiol 2021:S0363-0188(21)00113-4. [PMID: 34330569 DOI: 10.1067/j.cpradiol.2021.06.015] [Reference Citation Analysis]
|
339 |
Som A, Lang M, Yeung T, Carey D, Garrana S, Mendoza DP, Flores EJ, Li MD, Sharma A, McDermott S, Shepard JO, Little BP. Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study. Radiol Cardiothorac Imaging 2020;2:e200276. [PMID: 33778625 DOI: 10.1148/ryct.2020200276] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
|
340 |
Aljondi R, Alghamdi S. Diagnostic Value of Imaging Modalities for COVID-19: Scoping Review. J Med Internet Res. 2020;22:e19673. [PMID: 32716893 DOI: 10.2196/19673] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
|
341 |
Varadarajan V, Shabani M, Ambale Venkatesh B, Lima JAC. Role of Imaging in Diagnosis and Management of COVID-19: A Multiorgan Multimodality Imaging Review. Front Med (Lausanne) 2021;8:765975. [PMID: 34820400 DOI: 10.3389/fmed.2021.765975] [Reference Citation Analysis]
|
342 |
Amalou A, Türkbey B, Sanford T, Harmon S, Türkbey EB, Xu S, An P, Carrafiello G, Cariati M, Patella F, Obinata H, Mori H, Sun K, Spiro DJ, Suh R, Amalou H, Wood BJ. Targeted early chest CT in COVID-19 outbreaks as diagnostic tool for containment of the pandemic-A multinational opinion. Diagn Interv Radiol 2020;26:292-5. [PMID: 32352918 DOI: 10.5152/dir.2020.20231] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
|
343 |
Cellina M, Martinenghi C, Marino P, Oliva G. COVID-19 pneumonia-ultrasound, radiographic, and computed tomography findings: a comprehensive pictorial essay. Emerg Radiol 2021;28:519-26. [PMID: 33517546 DOI: 10.1007/s10140-021-01905-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
344 |
Anastasopoulos C, Weikert T, Yang S, Abdulkadir A, Schmülling L, Bühler C, Paciolla F, Sexauer R, Cyriac J, Nesic I, Twerenbold R, Bremerich J, Stieltjes B, Sauter AW, Sommer G. Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning. Eur J Radiol 2020;131:109233. [PMID: 32927416 DOI: 10.1016/j.ejrad.2020.109233] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
|
345 |
Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology 2020;296:E156-65. [PMID: 32339081 DOI: 10.1148/radiol.2020201491] [Cited by in Crossref: 98] [Cited by in F6Publishing: 90] [Article Influence: 49.0] [Reference Citation Analysis]
|
346 |
Yee J, Erdfarb A, Goldberg-Stein S, Clemente B, Rodriguez J, Rehani B, Liszewski M. Lessons Learned From the COVID-19 Response in a Major New York City Hot Zone. Curr Probl Diagn Radiol 2021:S0363-0188(21)00108-0. [PMID: 34274190 DOI: 10.1067/j.cpradiol.2021.06.011] [Reference Citation Analysis]
|
347 |
Hu Y, Jacob J, Parker GJM, Hawkes DJ, Hurst JR, Stoyanov D. The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. Nat Mach Intell 2020;2:298-300. [DOI: 10.1038/s42256-020-0185-2] [Cited by in Crossref: 13] [Cited by in F6Publishing: 1] [Article Influence: 6.5] [Reference Citation Analysis]
|
348 |
Chakraborty M, Dhavale SV, Ingole J. Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection. Appl Intell (Dordr) 2021;:1-18. [PMID: 34764582 DOI: 10.1007/s10489-020-01978-9] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
349 |
Toussie D, Voutsinas N, Finkelstein M, Cedillo MA, Manna S, Maron SZ, Jacobi A, Chung M, Bernheim A, Eber C, Concepcion J, Fayad ZA, Gupta YS. Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19. Radiology. 2020;297:E197-E206. [PMID: 32407255 DOI: 10.1148/radiol.2020201754] [Cited by in Crossref: 98] [Cited by in F6Publishing: 101] [Article Influence: 49.0] [Reference Citation Analysis]
|
350 |
Kim JY, Jung KJ, Yoo SJ, Yoon SH. Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia. PLoS One 2021;16:e0259010. [PMID: 34679127 DOI: 10.1371/journal.pone.0259010] [Reference Citation Analysis]
|
351 |
Munoz FM, Cramer JP, Dekker CL, Dudley MZ, Graham BS, Gurwith M, Law B, Perlman S, Polack FP, Spergel JM, Van Braeckel E, Ward BJ, Didierlaurent AM, Lambert PH; Brighton Collaboration Vaccine-associated Enhanced Disease Working Group. Vaccine-associated enhanced disease: Case definition and guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine 2021;39:3053-66. [PMID: 33637387 DOI: 10.1016/j.vaccine.2021.01.055] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 11.0] [Reference Citation Analysis]
|
352 |
Silva PSDD, Sawamura MVY, Monteiro RAA, Duarte-Neto AN, Martin MDGM, Dolhnikoff M, Mauad T, Saldiva PHN, Leite CC, Silva LFFD, Cardoso EF. Postmortem Chest Computed Tomography in Fatal COVID-19: A Valuable Diagnostic Tool for Minimally Invasive Autopsy. Clinics (Sao Paulo) 2021;76:e3551. [PMID: 34909914 DOI: 10.6061/clinics/2021/e3551] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
353 |
Gichoya JW, Sinha P, Davis M, Dunkle JW, Hamlin SA, Herr KD, Hoff CN, Letter HP, McAdams CR, Puthoff GD, Smith KL, Steenburg SD, Banerjee I, Trivedi H. Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs. Clin Imaging 2021;82:77-82. [PMID: 34798562 DOI: 10.1016/j.clinimag.2021.10.018] [Reference Citation Analysis]
|
354 |
Rajaraman S, Antani S. Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays. Diagnostics (Basel) 2020;10:E358. [PMID: 32486140 DOI: 10.3390/diagnostics10060358] [Cited by in Crossref: 28] [Cited by in F6Publishing: 19] [Article Influence: 14.0] [Reference Citation Analysis]
|
355 |
Aggarwal P, Mishra NK, Fatimah B, Singh P, Gupta A, Joshi SD. COVID-19 image classification using deep learning: Advances, challenges and opportunities. Comput Biol Med 2022;144:105350. [PMID: 35305501 DOI: 10.1016/j.compbiomed.2022.105350] [Reference Citation Analysis]
|
356 |
Mozzini C, Cicco S, Setti A, Racanelli V, Vacca A, Calciano L, Pesce G, Girelli D. Spotlight on Cardiovascular Scoring Systems in Covid-19: Severity Correlations in Real-world Setting. Curr Probl Cardiol 2021;46:100819. [PMID: 33631706 DOI: 10.1016/j.cpcardiol.2021.100819] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
357 |
Altersberger M, Schneider M, Schiller M, Binder-Rodriguez C, Genger M, Khafaga M, Binder T, Prosch H. Point of care echocardiography and lung ultrasound in critically ill patients with COVID-19. Wien Klin Wochenschr 2021. [PMID: 34714384 DOI: 10.1007/s00508-021-01968-y] [Reference Citation Analysis]
|
358 |
Erxleben C, Adams LC, Albrecht J, Petersen A, Vahldiek JL, Thieß HM, Kremmin J, Makowski MR, Niehues A, Niehues SM, Bressem KK. Improving CT accuracy in the diagnosis of COVID-19 in a hospital setting. Clin Imaging 2021;76:1-5. [PMID: 33545516 DOI: 10.1016/j.clinimag.2021.01.026] [Reference Citation Analysis]
|
359 |
Bellini D, Panvini N, Rengo M, Vicini S, Lichtner M, Tieghi T, Ippoliti D, Giulio F, Orlando E, Iozzino M, Ciolfi MG, Montechiarello S, d'Ambrosio U, d'Adamo E, Gambaretto C, Panno S, Caldon V, Ambrogi C, Carbone I. Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study. Eur Radiol 2021;31:1932-40. [PMID: 32968883 DOI: 10.1007/s00330-020-07273-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
|
360 |
Vernuccio F, Giambelluca D, Cannella R, Lombardo FP, Panzuto F, Midiri M, Cabassa P. Radiographic and chest CT imaging presentation and follow-up of COVID-19 pneumonia: a multicenter experience from an endemic area. Emerg Radiol 2020;27:623-32. [PMID: 32653961 DOI: 10.1007/s10140-020-01817-x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
|