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For: Leonardi A, Scipione R, Alfieri G, Petrillo R, Dolciami M, Ciccarelli F, Perotti S, Cartocci G, Scala A, Imperiale C, Iafrate F, Francone M, Catalano C, Ricci P. Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method. Eur J Radiol 2020;130:109202. [PMID: 32745895 DOI: 10.1016/j.ejrad.2020.109202] [Cited by in Crossref: 21] [Cited by in F6Publishing: 17] [Article Influence: 10.5] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 Masselli G, Almberger M, Tortora A, Capoccia L, Dolciami M, D'Aprile MR, Valentini C, Avventurieri G, Bracci S, Ricci P. Role of CT angiography in detecting acute pulmonary embolism associated with COVID-19 pneumonia. Radiol Med 2021;126:1553-60. [PMID: 34533699 DOI: 10.1007/s11547-021-01415-y] [Reference Citation Analysis]
3 Sabbatino F, Conti V, Franci G, Sellitto C, Manzo V, Pagliano P, De Bellis E, Masullo A, Salzano FA, Caputo A, Peluso I, Zeppa P, Scognamiglio G, Greco G, Zannella C, Ciccarelli M, Cicala C, Vecchione C, Filippelli A, Pepe S. PD-L1 Dysregulation in COVID-19 Patients. Front Immunol 2021;12:695242. [PMID: 34163490 DOI: 10.3389/fimmu.2021.695242] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
4 Ahlstrand E, Cajander S, Cajander P, Ingberg E, Löf E, Wegener M, Lidén M. Visual scoring of chest CT at hospital admission predicts hospitalization time and intensive care admission in Covid-19. Infect Dis (Lond) 2021;53:622-32. [PMID: 33848219 DOI: 10.1080/23744235.2021.1910727] [Reference Citation Analysis]
5 Romanov A, Bach M, Yang S, Franzeck FC, Sommer G, Anastasopoulos C, Bremerich J, Stieltjes B, Weikert T, Sauter AW. Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds. Diagnostics (Basel) 2021;11:738. [PMID: 33919094 DOI: 10.3390/diagnostics11050738] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Casartelli C, Perrone F, Balbi M, Alfieri V, Milanese G, Buti S, Silva M, Sverzellati N, Bersanelli M. Review on radiological evolution of COVID-19 pneumonia using computed tomography. World J Radiol 2021; 13(9): 294-306 [PMID: 34630915 DOI: 10.4329/wjr.v13.i9.294] [Reference Citation Analysis]
7 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]
8 Angeli E, Dalto S, Marchese S, Setti L, Bonacina M, Galli F, Rulli E, Torri V, Monti C, Meroni R, Beretta GD, Castoldi M, Bombardieri E. Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome. Eur J Radiol 2021;137:109612. [PMID: 33662842 DOI: 10.1016/j.ejrad.2021.109612] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
9 Saeed GA, Gaba W, Shah A, Al Helali AA, Raidullah E, Al Ali AB, Elghazali M, Ahmed DY, Al Kaabi SG, Almazrouei S. Correlation between Chest CT Severity Scores and the Clinical Parameters of Adult Patients with COVID-19 Pneumonia. Radiol Res Pract 2021;2021:6697677. [PMID: 33505722 DOI: 10.1155/2021/6697677] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
10 Alhasan M, Hasaneen M. The Role and Challenges of Clinical Imaging During COVID-19 Outbreak. Journal of Diagnostic Medical Sonography 2022;38:72-84. [DOI: 10.1177/87564793211056903] [Reference Citation Analysis]
11 Kumar A, Weng Y, Duanmu Y, Graglia S, Lalani F, Gandhi K, Lobo V, Jensen T, Chung S, Nahn J, Kugler J. Lung Ultrasound Findings in Patients Hospitalized With COVID-19. J Ultrasound Med 2022;41:89-96. [PMID: 33665872 DOI: 10.1002/jum.15683] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
12 Agarwal N, Jain P, Khan TN, Raja A. A retrospective study of association of CT severity with clinical profile and outcomes of patients with COVID-19 in the second wave. J Clin Imaging Sci 2022;12:17. [PMID: 35510242 DOI: 10.25259/JCIS_11_2022] [Reference Citation Analysis]
13 Dilek O, Demirel E, Akkaya H, Belibagli MC, Soker G, Gulek B. Different chest CT scoring systems in patients with COVID-19: could baseline CT be a helpful tool in predicting survival in patients with matched ages and co-morbid conditions? Acta Radiol 2021;:2841851211006316. [PMID: 33845610 DOI: 10.1177/02841851211006316] [Reference Citation Analysis]
14 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]
15 Zhang B, Ni-Jia-Ti MY, Yan R, An N, Chen L, Liu S, Chen L, Chen Q, Li M, Chen Z, You J, Dong Y, Xiong Z, Zhang S. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Br J Radiol 2021;94:20201007. [PMID: 33881930 DOI: 10.1259/bjr.20201007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
16 Kohli A, Jha T, Pazhayattil AB. The value of AI based CT severity scoring system in triage of patients with Covid-19 pneumonia as regards oxygen requirement and place of admission. Indian J Radiol Imaging 2021;31:S61-9. [PMID: 33814763 DOI: 10.4103/ijri.IJRI_965_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 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]
18 Stoleriu MG, Gerckens M, Obereisenbuchner F, Zaimova I, Hetrodt J, Mavi SC, Schmidt F, Schoenlebe AA, Heinig-Menhard K, Koch I, Jörres RA, Spiro J, Nowak L, Hatz R, Behr J, Gesierich W, Heiß-Neumann M, Dinkel J. Automated quantitative thin slice volumetric low dose CT analysis predicts disease severity in COVID-19 patients. Clin Imaging 2021;79:96-101. [PMID: 33910141 DOI: 10.1016/j.clinimag.2021.04.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 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]
20 Satici C, Cengel F, Gurkan O, Demirkol MA, Altunok ES, Esatoglu SN. Mediastinal lymphadenopathy may predict 30-day mortality in patients with COVID-19. Clin Imaging 2021;75:119-24. [PMID: 33545439 DOI: 10.1016/j.clinimag.2021.01.028] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Mazzilli A, Fiorino C, Loria A, Mori M, Esposito PG, Palumbo D, de Cobelli F, del Vecchio A. An Automatic Approach for Individual HU-Based Characterization of Lungs in COVID-19 Patients. Applied Sciences 2021;11:1238. [DOI: 10.3390/app11031238] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
22 Kim E, Choi Y, Park H, Na C, Kim J, Kim J, Han T. ASSESSMENT OF RADIATION DOSE OF MOBILE COMPUTED TOMOGRAPHY IN INTENSIVE CARE UNITS. Radiat Prot Dosimetry 2021;196:60-70. [PMID: 34477208 DOI: 10.1093/rpd/ncab131] [Reference Citation Analysis]
23 Mori M, Palumbo D, De Lorenzo R, Broggi S, Compagnone N, Guazzarotti G, Giorgio Esposito P, Mazzilli A, Steidler S, Pietro Vitali G, Del Vecchio A, Rovere Querini P, De Cobelli F, Fiorino C. Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry. Phys Med 2021;85:63-71. [PMID: 33971530 DOI: 10.1016/j.ejmp.2021.04.022] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
24 Akopyan GB, Berdalin AB, Gubskiy IL, Lelyuk VG. Differences in Dynamics of Lung Computed Tomography Patterns between Survivors and Deceased Adult Patients with COVID-19. Diagnostics (Basel) 2021;11:1937. [PMID: 34679635 DOI: 10.3390/diagnostics11101937] [Reference Citation Analysis]