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For: 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]
Number Citing Articles
1 Liu G, Chen Y, Runa A, Liu J. Diagnostic performance of CO-RADS for COVID-19: a systematic review and meta-analysis. Eur Radiol. [DOI: 10.1007/s00330-022-08576-y] [Reference Citation Analysis]
2 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]
3 Zayed NE, Bessar MA, Lutfy S. CO-RADS versus CT-SS scores in predicting severe COVID-19 patients: retrospective comparative study. Egypt J Bronchol 2021;15. [DOI: 10.1186/s43168-021-00060-3] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
4 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]
5 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]
6 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]
7 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]
8 Valentin B, Steuwe A, Wienemann T, Andree M, Keitel V, Ljimani A, Appel E, Köhler MH, Rademacher C, Aissa J, Antoch G, Loberg C. Applicability of CO-RADS in an Anonymized Cohort Including Early and Advanced Stages of COVID-19 in Comparison to the Recommendations of the German Radiological Society and Radiological Society of North America. Rofo 2022. [PMID: 35211925 DOI: 10.1055/a-1740-4310] [Reference Citation Analysis]
9 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]
10 Arru C, Ebrahimian S, Falaschi Z, Hansen JV, Pasche A, Lyhne MD, Zimmermann M, Durlak F, Mitschke M, Carriero A, Nielsen-Kudsk JE, Kalra MK, Saba L. Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia. Clin Imaging 2021;80:58-66. [PMID: 34246044 DOI: 10.1016/j.clinimag.2021.06.036] [Reference Citation Analysis]
11 Stański M, Gąsiorowski Ł, Wykrętowicz M, Majewska NK, Katulska K. COVID-19 pandemic in flu season. Chest computed tomography - what we know so far. Pol J Radiol 2021;86:e692-9. [PMID: 35059062 DOI: 10.5114/pjr.2021.112377] [Reference Citation Analysis]
12 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]
13 Ishiwata Y, Miura K, Kishimoto M, Nomura K, Sawamura S, Magami S, Ikawa M, Yamashiro T, Utsunomiya D. Comparison of CO-RADS Scores Based on Visual and Artificial Intelligence Assessments in a Non-Endemic Area. Diagnostics 2022;12:738. [DOI: 10.3390/diagnostics12030738] [Reference Citation Analysis]
14 Vicini S, Panvini N, Bellini D, Rengo M, Ciotola M, De Vivo M, Gambaretto C, Caldon V, Panno S, Del Borgo C, Carbone I. Radiographers and COVID-19 pneumonia: Diagnostic performance using CO-RADS. Radiography (Lond) 2021:S1078-8174(21)00049-3. [PMID: 33975783 DOI: 10.1016/j.radi.2021.04.010] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]