Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients
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AbstractBackground: Many studies have described lung lesion computed tomography (CT) features of coronavirus disease 2019 (COVID-19) patients at the early and progressive stages. In this study, we aim to evaluate lung lesion CT radiological features along with quantitative analysis for the COVID-19 patients ready for discharge.

Methods: From February 10 to March 10, 2020, 125 COVID-19 patients (age: 16–67 years, 63 males) ready for discharge, with two consecutive negative reverse transcription-polymerase chain reaction (RT-PCR) and no clinical symptoms for more than 3 days, were included. The pre-discharge CT was performed on all patients 1–3 days after the second negative RT-PCR test, and the follow-up CTs were performed on 44 patients 2–13 days later. The imaging features and quantitative analysis were evaluated on both the pre-discharge and the follow-up CTs, by both radiologists and an artificial intelligence (AI) software.

Results: On the pre-discharge CT, the most common CT findings included ground-glass opacity (GGO) (99/125, 79.2%) with bilateral mixed distribution, and fibrosis (56/125, 44.8%) with bilateral subpleural distribution. Enlarged mediastinal lymph nodes were also commonly observed (45/125, 36.0%). AI enabled quantitative analysis showed the right lower lobe was mostly involved, and lesions most commonly had CT value of –570 to –470 HU consistent with GGO. Follow-up CT showed GGO decrease in size and density (40/40, 100%) and fibrosis reduction (17/26, 65.4%). Compared with the pre-discharge CT results, quantitative analysis shows the lung lesion volume regressed significantly at follow-up.

Conclusions: For COVID-19 patients ready for discharge, GGO and fibrosis are the main CT features and they further regress at follow-up.
Acceptance Date09/05/2020
All Author(s) ListDu Siyao, Gao Si, Huang Guoliang, Li Shu, Chong Wei, Jia Ziyi, Hou Gang, Wang Yi Xiang J, Zhang Lina
Journal nameQUANTITATIVE IMAGING IN MEDICINE AND SURGERY
Year2020
Month6
Volume Number10
Issue Number6
PublisherAME PUBL CO
Pages1307 - 1317
ISSN2223-4292
eISSN2223-4306
LanguagesEnglish-United States
KeywordsCoronavirus disease 2019 (COVID-19), lung; computed tomography (CT), quantitative analysis, follow-up

Last updated on 2020-23-10 at 00:39