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Open Access 01-12-2020 | Computed Tomography | Original Article

Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal

Authors: E. Neri, F. Coppola, A. R. Larici, N. Sverzellati, M. A. Mazzei, P. Sacco, G. Dalpiaz, B. Feragalli, V. Miele, R. Grassi

Published in: Insights into Imaging | Issue 1/2020

Abstract

Objectives

The need of a standardized reporting scheme and language, in imaging of COVID-19 pneumonia, has been welcomed by major scientific societies. The aim of the study was to build the reporting scheme of chest CT in COVID-19 pneumonia.

Methods

A team of experts, of the Italian Society of Medical and Interventional Radiology (SIRM), has been recruited to compose a consensus panel. They used a modified Delphi process to build a reporting scheme and expressed a level of agreement for each section of the report. To measure the internal consistency of the panelist ratings for each section of the report, a quality analysis based on the average inter-item correlation was performed with Cronbach’s alpha (Cα) correlation coefficient.

Results

The overall mean score of the experts and the sum of score were 3.1 (std.dev. ± 0.11) and 122 in the second round, and improved to 3.75 (std.dev. ± 0.40) and 154 in the third round. The Cronbach’s alpha (Cα) correlation coefficient was 0.741 (acceptable) in the second round and improved to 0.789 in the third round. The final report was built in the management of radiology report template (MRRT) and includes n = 4 items in the procedure information, n = 5 items in the clinical information, n = 16 in the findings, and n = 3 in the impression, with overall 28 items.

Conclusions

The proposed structured report could be of help both for expert radiologists and for the less experienced who are faced with the management of these patients. The structured report is conceived as a guideline, to recommend the key items/findings of chest CT in COVID-19 pneumonia.

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Title: Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal
Authors: E. Neri
F. Coppola
A. R. Larici
N. Sverzellati
M. A. Mazzei
P. Sacco
G. Dalpiaz
B. Feragalli
V. Miele
R. Grassi
Publication date: 01-12-2020
Publisher: Springer Berlin Heidelberg
Keywords: Computed Tomography
Computed Tomography
Pneumonia
COVID-19
Published in: Insights into Imaging / Issue 1/2020
Electronic ISSN: 1869-4101
DOI: https://doi.org/10.1186/s13244-020-00901-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal

Abstract

Objectives

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

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