학술논문
Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan
Document Type
article
Author
Takanori Kanai; Yukinori Okada; Takanori Asakura; Yukari Kato; Koichi Fukunaga; Tomoki Maetani; Yusuke Shiraishi; Masahiro Jinzaki; Naoya Tanabe; Toyohiro Hirai; Makoto Ishii; Naoki Hasegawa; Takashi Shimada; Ryuji Koike; Shotaro Chubachi; Yoshitake Yamada; Kensuke Nakagawara; Ho Namkoong; Hideki Terai; Hiromu Tanaka; Soichiro Ueda; Norihiro Harada; Hiroki Tateno; Seiya Imoto; Shuhei Azekawa; Shiro Otake; Takahiro Fukushima; Mayuko Watase; Akinori Kimura; Satoru Miyano; Seishi Ogawa; Mamoru Sasaki; Shoji Suzuki; Shuichi Yoshida
Source
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Subject
Language
English
ISSN
2052-4439
Abstract
Objective This study aimed to investigate the utility of CT quantification of lung volume for predicting critical outcomes in COVID-19 patients.Methods This retrospective cohort study included 1200 hospitalised patients with COVID-19 from 4 hospitals. Lung fields were extracted using artificial intelligence-based segmentation, and the percentage of the predicted (%pred) total lung volume (TLC (%pred)) was calculated. The incidence of critical outcomes and posthospitalisation complications was compared between patients with low and high CT lung volumes classified based on the median percentage of predicted TLCct (n=600 for each). Prognostic factors for residual lung volume loss were investigated in 208 patients with COVID-19 via a follow-up CT after 3 months.Results The incidence of critical outcomes was higher in the low TLCct (%pred) group than in the high TLCct (%pred) group (14.2% vs 3.3%, p