@article{oai:nagoya.repo.nii.ac.jp:00027346, author = {Umakoshi, Hiroyasu and Iwano, Shingo and Inoue, Tsutomu and Li, Yuanzhong and Nakamura, Keigo and Naganawa, Shinji}, issue = {1}, journal = {Nagoya Journal of Medical Science}, month = {Feb}, note = {We evaluated the progression of interstitial lung disease (ILD) by three-dimensional curved highresolution computed tomography (3D-cHRCT) at a constant depth from the chest wall and compare the results to pulmonary function test (PFT) results on a follow-up assessment. We reviewed the patients with ILD who underwent HRCT and concurrent PFTs at least twice from April 2008 to December 2014. Fortyfive patients with ILD were enrolled. 3D-cHRCT images of the lung at various depths from the chest wall were reconstructed, and total area (TA), high-attenuation area (HAA) >-500 HU, and %HAA ([HAA/TA] × 100) were calculated. The TA, HAA, and %HAA ratios (follow-up to baseline) were assessed for use in the diagnosis of physiologically progressive ILD (defined as; forced vital capacity [FVC] ratio <0.9 or %diffusing capacity of the lung for carbon monoxide [%DLCO] ratio <0.85 [follow-up to baseline]). Of all ratios obtained from 3D-cHRCT images at 5–30mm depths, the %HAA ratio at 20-mm had the largest area under the receiver operating characteristic curve (0.815, 95 % confidence interval 0.677–0.953). By univariate logistic regression analysis, TA, HAA, and %HAA ratios at 20-mm showed significant correlations with physiologically progressive ILD. 3D-cHRCT imaging performed in parallel with the chest wall offers novel quantitative parameters that are useful for following ILD., This study has received funding by Japan Society for the Promotion of Science (JSPS) Grantin-Aid for Scientific Research on Innovative Areas (Multidisciplinary Computational Anatomy), JSPS KAKENHI Grant Number 17H05292.}, pages = {41--53}, title = {Quantitative Follow-Up Assessment of Patients with Interstitial Lung Disease by 3D-Curved High-Resolution CT Imaging Parallel to the Chest Wall}, volume = {81}, year = {2019} }