tetano
Editor, Senior Moderator
Jpn J Radiol. 2020 Mar 30. doi: 10.1007/s11604-020-00958-w. [Epub ahead of print]
Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan.
Himoto Y[SUP]1[/SUP], Sakata A[SUP]2[/SUP], Kirita M[SUP]2[/SUP], Hiroi T[SUP]2[/SUP], Kobayashi KI[SUP]3[/SUP], Kubo K[SUP]3[/SUP], Kim H[SUP]2[/SUP], Nishimoto A[SUP]2[/SUP], Maeda C[SUP]2[/SUP], Kawamura A[SUP]2[/SUP], Komiya N[SUP]3[/SUP], Umeoka S[SUP]2[/SUP].
Author information
Abstract
PURPOSE:
To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan.
MATERIALS AND METHODS:
This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than 3 days after the symptom onset: six patients confirmed COVID-19 pneumonia by real-time reverse-transcription polymerase chain reaction (RT-PCR) and 15 patients proved uninfected. Using a Likert scale and its receiver operating characteristic curve analysis, two radiologists (R1/R2) evaluated the diagnostic performance of the five CT criteria: (1) ground glass opacity (GGO)-predominant lesions, (2) GGO- and peripheral-predominant lesions, (3) bilateral GGO-predominant lesions; (4) bilateral GGO- and peripheral-predominant lesions, and (5) bilateral GGO- and peripheral-predominant lesions without nodules, airway abnormalities, pleural effusion, and mediastinal lymphadenopathy.
RESULTS:
All patients confirmed COVID-19 pneumonia had bilateral GGO- and peripheral-predominant lesions without airway abnormalities, mediastinal lymphadenopathy, and pleural effusion. The five CT criteria showed moderate to excellent diagnostic performance with area under the curves (AUCs) ranging 0.77-0.88 for R1 and 0.78-0.92 for R2. The criterion (e) showed the highest AUC.
CONCLUSION:
Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting.
KEYWORDS:
COVID-19; CT criteria; Chest CT; Diagnostic performance
PMID:32232648DOI:10.1007/s11604-020-00958-w
Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan.
Himoto Y[SUP]1[/SUP], Sakata A[SUP]2[/SUP], Kirita M[SUP]2[/SUP], Hiroi T[SUP]2[/SUP], Kobayashi KI[SUP]3[/SUP], Kubo K[SUP]3[/SUP], Kim H[SUP]2[/SUP], Nishimoto A[SUP]2[/SUP], Maeda C[SUP]2[/SUP], Kawamura A[SUP]2[/SUP], Komiya N[SUP]3[/SUP], Umeoka S[SUP]2[/SUP].
Author information
Abstract
PURPOSE:
To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan.
MATERIALS AND METHODS:
This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than 3 days after the symptom onset: six patients confirmed COVID-19 pneumonia by real-time reverse-transcription polymerase chain reaction (RT-PCR) and 15 patients proved uninfected. Using a Likert scale and its receiver operating characteristic curve analysis, two radiologists (R1/R2) evaluated the diagnostic performance of the five CT criteria: (1) ground glass opacity (GGO)-predominant lesions, (2) GGO- and peripheral-predominant lesions, (3) bilateral GGO-predominant lesions; (4) bilateral GGO- and peripheral-predominant lesions, and (5) bilateral GGO- and peripheral-predominant lesions without nodules, airway abnormalities, pleural effusion, and mediastinal lymphadenopathy.
RESULTS:
All patients confirmed COVID-19 pneumonia had bilateral GGO- and peripheral-predominant lesions without airway abnormalities, mediastinal lymphadenopathy, and pleural effusion. The five CT criteria showed moderate to excellent diagnostic performance with area under the curves (AUCs) ranging 0.77-0.88 for R1 and 0.78-0.92 for R2. The criterion (e) showed the highest AUC.
CONCLUSION:
Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting.
KEYWORDS:
COVID-19; CT criteria; Chest CT; Diagnostic performance
PMID:32232648DOI:10.1007/s11604-020-00958-w