semantic_scholarJournal of Applied Clinical Medical Physics2026-08-01
Estimation of pulmonary function from time-resolved dynamic chest radiography using machine learning in patients with respiratory disease.
T. Shiinoki, Y. Yuasa, Tsunahiko Hirano, M. Asami-Noyama, Kazuto Matsunaga, Hidekazu Tanaka
TL;DR: In this single-center retrospective study, radiomic features extracted from DCR at multiple respiratory phases combined with respiratory motion maps showed promise for estimating pulmonary function, outperforming conventional demographic-based prediction.
BACKGROUND Pulmonary function tests (PFTs), particularly spirometry, are the reference standard for assessing airflow limitation in respiratory diseases such as chronic obstructive pulmonary disease (COPD) and interstitial pulmonary disease. However, spirometry requires substanti…