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For: 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]
Number Citing Articles
1 Parekh M, Donuru A, Balasubramanya R, Kapur S. Review of the Chest CT Differential Diagnosis of Ground-Glass Opacities in the COVID Era. Radiology. 2020;297:E289-E302. [PMID: 32633678 DOI: 10.1148/radiol.2020202504] [Cited by in Crossref: 24] [Cited by in F6Publishing: 19] [Article Influence: 12.0] [Reference Citation Analysis]
2 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]
3 Kwee TC, Kwee RM. Chest CT in COVID-19: What the Radiologist Needs to Know. Radiographics. 2020;40:1848-1865. [PMID: 33095680 DOI: 10.1148/rg.2020200159] [Cited by in Crossref: 59] [Cited by in F6Publishing: 39] [Article Influence: 29.5] [Reference Citation Analysis]
4 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]
5 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]
6 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]
7 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]
8 Murphy K, Smits H, Knoops AJG, Korst MBJM, Samson T, Scholten ET, Schalekamp S, Schaefer-Prokop CM, Philipsen RHHM, Meijers A, Melendez J, van Ginneken B, Rutten M. COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System. Radiology 2020;296:E166-72. [PMID: 32384019 DOI: 10.1148/radiol.2020201874] [Cited by in Crossref: 63] [Cited by in F6Publishing: 47] [Article Influence: 31.5] [Reference Citation Analysis]
9 Ohana M, Muller J, Severac F, Bilbault P, Behr M, Oberlin M, Leyendecker P, Roy C. Temporal variations in the diagnostic performance of chest CT for Covid-19 depending on disease prevalence: Experience from North-Eastern France. Eur J Radiol 2021;134:109425. [PMID: 33254065 DOI: 10.1016/j.ejrad.2020.109425] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
10 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]
11 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]
12 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]
13 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]
14 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]
15 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]
16 Yates A, Dempsey PJ, Vencken S, MacMahon PJ, Hutchinson BD. Structured reporting in portable chest radiographs: An essential tool in the diagnosis of COVID-19. Eur J Radiol. 2021;134:109414. [PMID: 33246271 DOI: 10.1016/j.ejrad.2020.109414] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
17 Schuster P, Crombé A, Nivet H, Berger A, Pourriol L, Favard N, Chazot A, Alonzo-Lacroix F, Youssof E, Cheikh AB, Balique J, Porta B, Petitpierre F, Bouquet G, Mastier C, Bratan F, Bergerot JF, Thomson V, Banaste N, Gorincour G. Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort. Sci Rep 2021;11:8994. [PMID: 33903624 DOI: 10.1038/s41598-021-88053-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 O' Neill SB, Byrne D, Müller NL, Jalal S, Parker W, Nicolaou S, Bilawich AM. Radiological Society of North America (RSNA) Expert Consensus Statement Related to Chest CT Findings in COVID-19 Versus CO-RADS: Comparison of Reporting System Performance Among Chest Radiologists and End-User Preference. Can Assoc Radiol J 2021;72:806-13. [PMID: 33138634 DOI: 10.1177/0846537120968919] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]