Ural KOÇ, Bircan KAYAASLAN, Özlem ÜNAL, Erdem ÖZKAN

OVID-19 computed tomography reporting systems: inter rater and inter-system agreement study

Aim: The aim of this study was to investigate agreements between COVID-19 reporting systems and radiologists. Materials and Methods: A total of 100 laboratory-confirmed COVID-19 cases (49 males, 51 females; age range 19-88 years) wereretrospectively collected. Firstly, computed tomography (CT) images were evaluated by two radiologists independently and blindedto clinical notes and laboratory and radiological reports and they gave their impressions independently according to four COVID-19reporting systems, then all CTs were interpreted again by the two radiologists for extracting CT features at the same session byconsensus.Results: Bilateral, lower lobe, peripheral, dorsal and multifocal lung involvements were predominantly seen, and ground-glassopacities (GGOs) were the most common CT imaging finding in the current study. Reporting systems showed fair to moderateagreements between senior and junior raters (0.246-0.490, p

PDF

___

1. World Health Organization. Coronavirus disease 2019 (COVID-19) situation report-1. World Health Organization, Geneva. Available via https://www. who.int/docs/default-source/coronaviruse/ situation-reports/20200211-sitrep-22-ncov. pdf?sfvrsn=fb6d49b1_2. Accessed 11 Jun 2020
2. World Health Organization. Coronavirus disease 2019 (COVID-19) situation report-51. World Health Organization, Geneva. Available via https://www. who.int/docs/default-source/coronaviruse/ situation-reports/20200311-sitrep-51-covid-19. pdf?sfvrsn=1ba62e57_10. Accessed 11 Jun 2020
3. Ai T, Yang Z, Hou H, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 2020;296:32-40.
4. American College of Radiology (ACR). ACR recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection. Available via https://www. acr.org/Advocacy-and-Economics/ACR-PositionStatements/Recommendations-for-ChestRadiography-and-CT-for-Suspected-COVID19- Infection. Accessed 11 Jun 2020.
5. Rubin GD, Ryerson CJ, Haramati LB, et al. The role of chest imaging in patient management during the COVID-19 pandemic: a multinational consensus statement from the Fleischner Society. Radiology 2020;296:172-80.
6. Ojha V, Mani A, Pandey NN, et al. CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients. Eur Radiol 2020.
7. Prokop M, van Everdingen W, van Rees Vellinga T. CO-RADS – a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology 2020;30:4930-42.
8. Simpson S, Kay FU, Abbara S, et al. Radiological Society of North America expert consensus statement on reporting chest CT findings related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. J Thorac Imaging 2020;35:219-27.
9. Salehi S, Abedi A, Balakrishnan S, et al. Coronavirus disease 2019 (COVID-19) imaging reporting and data system (COVIDRADS) and common lexicon: a proposal based on the imaging data of 37 studies. Eur Radiol 2020.
10. The British Society of Thoracic Imaging. Covid-19 Resources. Available via https://www.bsti.org. uk/covid-19-resources/covid-19-bsti-reportingtemplates. Accessed 11 Jun 2020
11. Schwartz LH, Panicek DM, Berk AR, et al. Improving communication of diagnostic radiology findings through structured reporting. Radiology 2011;260:174- 81.
12. Noumeir R. Benefits of the DICOM structured report. J Digit Imaging 2006;19:295-306.
13. Ganeshan D, Duong PT, Probyn L, et al. Structured Reporting in Radiology. Acad Radiol 2018;25:66-73.
14. Hoore J, Barnett I, Boland MR, et al. Ideas for how informaticians can get involved with COVID-19 research. BioData Min 2020;13:3.
15. Wan S, Li M, Ye Z, et al. CT manifestations and clinical characteristics of 1115 patients with coronavirus disease (COVID-19): A systematic review and metaanalyis. Acad Radiol 2020;27:910-21.
16. Vogel-Clausen J, Ley-Zaporozhan J, Agarwal P, et al. Recommendations of the thoracic imaging section of the German Radiological Society for clinical application of chest imaging and structured CT reporting in the COVID-19 pandemic. Rofo 2020;192:633-40.
17. Nair A, Rodrigues JCL, Hare S, et al. A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol 2020;75:329-34.
18. Dennie C, Hague C, Lim RS, et al. Canadian Society of Thoracic Radiology/Canadian Association of Radiologists consensus statement regarding chest imaging in suspected and confirmed COVID-19. Can Assoc Radiol J 2020;71:470-81.
19. Revel MP, Parkar AP, Prosch H, et al. COVID-19 patients and the radiology department-advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI). Eur Radiol 2020;30:4903-9.
20. Xu B, Xing Y, Peng J, et al. Chest CT for detecting COVID-19:a systematic review and meta-analyis of diagnostic accuracy. Eur Radiol 2020;81:16-25.
21. Ufuk F, Savas R. Chest CT features of the novel coronavirus disease (COVID-19). Turk J Med Sci 2020;50:664-78.