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For: Kovács A, Palásti P, Veréb D, Bozsik B, Palkó A, Kincses ZT. The sensitivity and specificity of chest CT in the diagnosis of COVID-19. Eur Radiol 2021;31:2819-24. [PMID: 33051732 DOI: 10.1007/s00330-020-07347-x] [Cited by in Crossref: 27] [Cited by in F6Publishing: 24] [Article Influence: 13.5] [Reference Citation Analysis]
Number Citing Articles
1 Pezzutti DL, Wadhwa V, Makary MS. COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances. WJR 2021;13:172-92. [DOI: 10.4329/wjr.v13.i6.172] [Reference Citation Analysis]
2 Dai M, Ouyang L, Yang F, Shi H, Wang J, Han X, Alwalid O, Cao Y, Yang D, Li Y, Zhu W, Liu J. Chest CT Imaging Features of Typical Covert COVID-19 Cases. Int J Med Sci 2021;18:2128-36. [PMID: 33859519 DOI: 10.7150/ijms.48614] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 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]
4 Kawataki M, Ito A, Ishida T. Pneumonia Due to Human Coronavirus OC43 in an Immunocompetent Adult Detected by Multiplex Polymerase Chain Reaction. Intern Med 2021;60:3497-501. [PMID: 34433714 DOI: 10.2169/internalmedicine.7450-21] [Reference Citation Analysis]
5 Jangam E, Barreto AAD, Annavarapu CSR. Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking. Appl Intell (Dordr) 2021;:1-17. [PMID: 34764605 DOI: 10.1007/s10489-021-02393-4] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
6 Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, Lapotre T, Mompoint D, Chassagnon G, Milon A, Lederlin M, Bennani S, Molière S, Debray MP, Bompard F, Dangeard S, Hani C, Ohana M, Bommart S, Jalaber C, El Hajjam M, Petit I, Fournier L, Khalil A, Brillet PY, Bellin MF, Redheuil A, Rocher L, Bousson V, Rousset P, Grégory J, Deux JF, Dion E, Valeyre D, Porcher R, Jilet L, Abdoul H. Study of Thoracic CT in COVID-19: The STOIC Project. Radiology 2021;:210384. [PMID: 34184935 DOI: 10.1148/radiol.2021210384] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 Yang S, Pan X, Zeng P, Jia P. Spatial technologies to strengthen traditional testing for SARS-CoV-2. Trends Microbiol 2021:S0966-842X(21)00062-7. [PMID: 33775546 DOI: 10.1016/j.tim.2021.03.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sähn MJ, Yüksel C, Keil S, Zeisberger MP, Post M, Kleines M, Brokmann JC, Hübel C, Kuhl CK, Isfort P, Schulze-Hagen MF. Accuracy of Chest CT for Differentiating COVID-19 from COVID-19 Mimics. Rofo 2021;193:1081-91. [PMID: 33772486 DOI: 10.1055/a-1388-7950] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Barben J, Quipourt V, Vovelle J, Putot A, Manckoundia P. Not COVID-19, Don't Overlook Pneumocystis in Patients on Gefitinib! Curr Oncol 2021;28:961-4. [PMID: 33617512 DOI: 10.3390/curroncol28010094] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
10 Alzahrani A, Bhuiyan MA, Akhter F, Tsui P. Detecting COVID-19 Pneumonia over Fuzzy Image Enhancement on Computed Tomography Images. Computational and Mathematical Methods in Medicine 2022;2022:1-12. [DOI: 10.1155/2022/1043299] [Reference Citation Analysis]
11 Jemioło P, Storman D, Orzechowski P. Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review. JCM 2022;11:2054. [DOI: 10.3390/jcm11072054] [Reference Citation Analysis]
12 Mansour NA, Saleh AI, Badawy M, Ali HA. Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy. J Ambient Intell Humaniz Comput 2021;:1-33. [PMID: 33469467 DOI: 10.1007/s12652-020-02883-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
13 Kyosei Y, Yamura S, Namba M, Yoshimura T, Watabe S, Ito E. Antigen tests for COVID-19. Biophys Physicobiol 2021;18:28-39. [PMID: 33954080 DOI: 10.2142/biophysico.bppb-v18.004] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Falzone L, Gattuso G, Tsatsakis A, Spandidos DA, Libra M. Current and innovative methods for the diagnosis of COVID‑19 infection (Review). Int J Mol Med 2021;47:100. [PMID: 33846767 DOI: 10.3892/ijmm.2021.4933] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
15 Vetrugno L, Meroi F, Orso D, D’andrea N, Marin M, Cammarota G, Mattuzzi L, Delrio S, Furlan D, Foschiani J, Valent F, Bove T. Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study. Healthcare 2022;10:568. [DOI: 10.3390/healthcare10030568] [Reference Citation Analysis]
16 Chen C, Zhou J, Zhou K, Wang Z, Xiao R. DW-UNet: Loss Balance under Local-Patch for 3D Infection Segmentation from COVID-19 CT Images. Diagnostics (Basel) 2021;11:1942. [PMID: 34829289 DOI: 10.3390/diagnostics11111942] [Reference Citation Analysis]
17 Ghaderzadeh M, Aria M, Asadi F. X-Ray Equipped with Artificial Intelligence: Changing the COVID-19 Diagnostic Paradigm during the Pandemic. Biomed Res Int 2021;2021:9942873. [PMID: 34458373 DOI: 10.1155/2021/9942873] [Reference Citation Analysis]
18 Garip Ustaoğlu Ş, Kaygusuz H, Bilgin MD, Severcan F. Novel approaches for COVID-19 diagnosis and treatment: a nonsystematic review. Turk J Biol 2021;45:358-71. [PMID: 34803440 DOI: 10.3906/biy-2105-45] [Reference Citation Analysis]
19 Lacerda P, Barros B, Albuquerque C, Conci A. Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT. Sensors (Basel) 2021;21:2174. [PMID: 33804609 DOI: 10.3390/s21062174] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
20 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]
21 Kyosei Y, Namba M, Makioka D, Kokubun A, Watabe S, Yoshimura T, Sasaki T, Shioda T, Ito E. Ultrasensitive Detection of SARS-CoV-2 Spike Proteins Using the Thio-NAD Cycling Reaction: A Preliminary Study before Clinical Trials. Microorganisms 2021;9:2214. [PMID: 34835340 DOI: 10.3390/microorganisms9112214] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Yuan ZC, Hu B. Mass Spectrometry-Based Human Breath Analysis: Towards COVID-19 Diagnosis and Research. J Anal Test 2021;:1-11. [PMID: 34422436 DOI: 10.1007/s41664-021-00194-9] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Brogna B, Bignardi E, Brogna C, Volpe M, Lombardi G, Rosa A, Gagliardi G, Capasso PFM, Gravino E, Maio F, Pane F, Picariello V, Buono M, Colucci L, Musto LA. A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia. Diagnostics (Basel) 2021;11:437. [PMID: 33806423 DOI: 10.3390/diagnostics11030437] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
24 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]
25 Campagner A, Carobene A, Cabitza F. External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count. Health Inf Sci Syst 2021;9:37. [PMID: 34721844 DOI: 10.1007/s13755-021-00167-3] [Reference Citation Analysis]
26 Abdolrahimzadeh Fard H, Mahmudi-Azer S, Sefidbakht S, Iranpour P, Bolandparvaz S, Abbasi HR, Paydar S, Sabetian G, Mahmoudi MM, Zare M, Shayan L, Salimi M. Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study. Emerg Med Int 2021;2021:4188178. [PMID: 34327023 DOI: 10.1155/2021/4188178] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Zizzo G, Caruso S, Ricchiuti E, Turato R, Stefani I, Mazzone A. Amiodarone-induced organizing pneumonia mimicking COVID-19: a case report. Eur J Med Res 2021;26:62. [PMID: 34176493 DOI: 10.1186/s40001-021-00522-w] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 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]
29 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]
30 Thomas C, Naudin M, Tasu JP, Leclerc C, Depaire L, Subervillle M, Vionnet M, Guillevin R, Herpe G. Efficacy of chest CT scan for COVID-19 diagnosis in a low prevalence and incidence region. Eur Radiol 2021. [PMID: 33871709 DOI: 10.1007/s00330-021-07863-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
31 Araki H, Sekino M, Iwasaki N, Suzumura M, Egashira T, Yano R, Matsumoto S, Higashijima U, Sugimoto T, Yamanashi H, Hara T. Absent right superior vena cava with persistent left superior vena cava in a patient with COVID-19. J Artif Organs 2021. [PMID: 34401951 DOI: 10.1007/s10047-021-01290-4] [Reference Citation Analysis]
32 Bui LM, Thi Thu Phung H, Ho Thi TT, Singh V, Maurya R, Khambhati K, Wu CC, Uddin MJ, Trung DM, Chu DT. Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review. Bioengineered 2021;12:8594-613. [PMID: 34607509 DOI: 10.1080/21655979.2021.1987821] [Reference Citation Analysis]
33 Pence MC, Avdan Aslan A, Tunccan OG, Erbas G. Prognostic value of semi-quantitative CT-based score integrated with cardiovascular risk factors during the first peak of the COVID-19 pandemic: A new score to predict poor outcome. European Journal of Radiology 2022;150:110238. [DOI: 10.1016/j.ejrad.2022.110238] [Reference Citation Analysis]
34 Jungmann F, Müller L, Hahn F, Weustenfeld M, Dapper AK, Mähringer-Kunz A, Graafen D, Düber C, Schafigh D, Pinto Dos Santos D, Mildenberger P, Kloeckner R. Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation? Eur Radiol 2021. [PMID: 34950973 DOI: 10.1007/s00330-021-08409-4] [Reference Citation Analysis]
35 Fusco R, Simonetti I, Ianniello S, Villanacci A, Grassi F, Dell’aversana F, Grassi R, Cozzi D, Bicci E, Palumbo P, Borgheresi A, Giovagnoni A, Miele V, Barile A, Granata V. Pulmonary Lymphangitis Poses a Major Challenge for Radiologists in an Oncological Setting during the COVID-19 Pandemic. JPM 2022;12:624. [DOI: 10.3390/jpm12040624] [Reference Citation Analysis]
36 Hassan H, Ren Z, Zhao H, Huang S, Li D, Xiang S, Kang Y, Chen S, Huang B. Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. Comput Biol Med 2021;141:105123. [PMID: 34953356 DOI: 10.1016/j.compbiomed.2021.105123] [Reference Citation Analysis]
37 Al Dallal A, AlDallal U, Al Dallal J. Positivity rate: an indicator for the spread of COVID-19. Curr Med Res Opin 2021;37:2067-76. [PMID: 34517740 DOI: 10.1080/03007995.2021.1980868] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
38 Sweed D, Abdelsameea E, Khalifa EA, Abdallah H, Moaz H, Moaz I, Abdelsattar S, Abdel-Rahman N, Mosbeh A, Elmahdy HA, Sweed E. SARS-CoV-2-associated gastrointestinal and liver diseases: what is known and what is needed to explore. Egypt Liver J 2021;11:64. [PMID: 34777871 DOI: 10.1186/s43066-021-00123-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
39 Pezzutti DL, Wadhwa V, Makary MS. COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances. World J Radiol 2021; 13(6): 171-191 [PMID: 34249238 DOI: 10.4329/wjr.v13.i6.171] [Reference Citation Analysis]
40 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]
41 Böszörményi KP, Stammes MA, Fagrouch ZC, Kiemenyi-Kayere G, Niphuis H, Mortier D, van Driel N, Nieuwenhuis I, Vervenne RAW, Haaksma T, Ouwerling B, Adema D, Acar RF, Zuiderwijk-Sick E, Meijer L, Mooij P, Remarque EJ, Oostermeijer H, Koopman G, Hoste ACR, Sastre P, Haagmans BL, Bontrop RE, Langermans JAM, Bogers WM, Kondova I, Verschoor EJ, Verstrepen BE. The Post-Acute Phase of SARS-CoV-2 Infection in Two Macaque Species Is Associated with Signs of Ongoing Virus Replication and Pathology in Pulmonary and Extrapulmonary Tissues. Viruses 2021;13:1673. [PMID: 34452537 DOI: 10.3390/v13081673] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
42 Ilieva E, Boyapati A, Chervenkov L, Gulinac M, Borisov J, Genova K, Velikova T. Imaging related to underlying immunological and pathological processes in COVID-19. World J Clin Infect Dis 2022; 12(1): 1-19 [DOI: 10.5495/wjcid.v12.i1.1] [Reference Citation Analysis]
43 Marateb HR, Ziaie Nezhad F, Mohebian MR, Sami R, Haghjooy Javanmard S, Dehghan Niri F, Akafzadeh-Savari M, Mansourian M, Mañanas MA, Wolkewitz M, Binder H. Automatic Classification Between COVID-19 and Non-COVID-19 Pneumonia Using Symptoms, Comorbidities, and Laboratory Findings: The Khorshid COVID Cohort Study. Front Med (Lausanne) 2021;8:768467. [PMID: 34869483 DOI: 10.3389/fmed.2021.768467] [Reference Citation Analysis]
44 Kumar H, Fernandez CJ, Kolpattil S, Munavvar M, Pappachan JM. Discrepancies in the clinical and radiological profiles of COVID-19: A case-based discussion and review of literature. World J Radiol 2021;13:75-93. [PMID: 33968311 DOI: 10.4329/wjr.v13.i4.75] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
45 Pal A, Ali A, Young TR, Oostenbrink J, Prabhakar A, Prabhakar A, Deacon N, Arnold A, Eltayeb A, Yap C, Young DM, Tang A, Lakshmanan S, Lim YY, Pokarowski M, Kakodkar P. Comprehensive literature review on the radiographic findings, imaging modalities, and the role of radiology in the COVID-19 pandemic. World J Radiol 2021; 13(9): 258-282 [PMID: 34630913 DOI: 10.4329/wjr.v13.i9.258] [Reference Citation Analysis]
46 Romero-Gameros CA, Colin-Martínez T, Waizel-Haiat S, Vargas-Ortega G, Ferat-Osorio E, Guerrero-Paz JA, Intriago-Alor M, López-Moreno MA, Cuevas-García CF, Mendoza-Zubieta V, Martínez-Ordaz JL, González-Virla B. Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients. BMC Infect Dis 2021;21:255. [PMID: 33706707 DOI: 10.1186/s12879-021-05930-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]