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Tytuł pozycji:

Standardized reporting systems of chest computed tomography in a population with low coronavirus disease 2019 prevalence: A retrospective comparative study.

Tytuł:
Standardized reporting systems of chest computed tomography in a population with low coronavirus disease 2019 prevalence: A retrospective comparative study.
Autorzy:
Kurokawa R; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Inui S; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Gonoi W; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Nakai Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Ishida M; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Watanabe Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Kubo T; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Amano Y; Department of Respiratory Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Okamoto K; Department of Infectious Diseases, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Kage H; Department of Respiratory Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Harada S; Department of Infection Control and Prevention, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Tanaka G; Department of Respiratory Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Kawahara T; Clinical Research Promotion Center, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Nagase T; Department of Respiratory Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Moriya K; Department of Infectious Diseases, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Źródło:
Heliyon [Heliyon] 2021 Aug; Vol. 7 (8), pp. e07743. Date of Electronic Publication: 2021 Aug 10.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: London : Elsevier Ltd, [2015]-
References:
Lancet Public Health. 2020 May;5(5):e261-e270. (PMID: 32220655)
J Clin Virol. 2020 Aug;129:104476. (PMID: 32516739)
Radiol Cardiothorac Imaging. 2020 Mar 25;2(2):e200152. (PMID: 33778571)
Nature. 2020 Aug;584(7820):257-261. (PMID: 32512579)
Eur Radiol. 2020 Sep;30(9):4930-4942. (PMID: 32346790)
Radiology. 2020 Sep;296(3):E145-E155. (PMID: 32301646)
JAMA. 2020 May 19;323(19):1915-1923. (PMID: 32275295)
JAMA Netw Open. 2020 Jun 1;3(6):e2012005. (PMID: 32530469)
Respir Med. 2020 Jul;168:105980. (PMID: 32364959)
Radiology. 2020 Aug;296(2):E97-E104. (PMID: 32339082)
Contributed Indexing:
Keywords: COVID-19; Chest computed tomography; Diagnostic performance; Interobserver agreement
Entry Date(s):
Date Created: 20210816 Latest Revision: 20220425
Update Code:
20240105
PubMed Central ID:
PMC8353969
DOI:
10.1016/j.heliyon.2021.e07743
PMID:
34395930
Czasopismo naukowe
Purpose: To compare the diagnostic performance and interobserver agreement of three reporting systems for computed tomography findings in coronavirus disease 2019 (COVID-19), namely the COVID-19 Reporting and Data System (CO-RADS), COVID-19 Imaging Reporting and Data System (COVID-RADS), and Radiological Society of North America (RSNA) expert consensus statement, in a low COVID-19 prevalence area.
Method: This institutional review board approval single-institutional retrospective study included 154 hospitalized patients between April 1 and May 21, 2020; 26 (16.9 %; 63.2 ± 14.1 years, 21 men) and 128 (65.7 ± 16.4 years, 87 men) patients were diagnosed with and without COVID-19 according to reverse transcription-polymerase chain reaction results, respectively. Written informed consent was waived due to the retrospective nature of the study. Six radiologists independently classified chest computed tomography images according to each reporting system. The area under receiver operating characteristic curves, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and interobserver agreements were calculated and compared across the systems using paired t-test and kappa analysis.
Results: Mean area under receiver operating characteristic curves were as follows: CO-RADS, 0.89 (95 % confidence interval [CI], 0.87-0.90); COVID-RADS, 0.78 (0.75-0.80); and RSNA expert consensus statement, 0.88 (0.86-0.90). Average kappa values across observers were 0.52 (95 % CI: 0.45-0.60), 0.51 (0.41-0.61), and 0.57 (0.49-0.64) for CO-RADS, COVID-RADS, and RSNA expert consensus statement, respectively. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were the highest at 0.71, 0.53, 0.72, 0.96, and 0.56 in the CO-RADS; 0.56, 0.31, 0.54, 0.95, and 0.35 in the COVID-RADS; 0.83, 0.49, 0.61, 0.96, and 0.55 in the RSNA expert consensus statement, respectively.
Conclusions: The CO-RADS exhibited the highest specificity, positive predictive value, which are especially important in a low-prevalence population, while maintaining high accuracy and negative predictive value, demonstrating the best performance in a low-prevalence population.
Competing Interests: The authors declare the following conflict of interests: Sohei Harada reports personal fees from BD, Meiji, Shionogi, Sumitomo Dainippon Pharma, Astellas, Beckman Coulter Diagnostics, FUJIFILM Toyama Chemical, grants and personal fees from MSD, outside the submitted work. Osamu Abe: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: institution received grants from Bayer Yakuhin, Canon Medical Systems, Eisai, FUJIFILM Toyama Chemical, GE.
(© 2021 The Author(s).)

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