Abstract

This study aimed to evaluate inspiratory lung expansion in patients with interstitial lung disease (ILD) using histogram analyses based on advanced image registration between inspiratory and expiratory CT scans. We included 16 female ILD patients and eight age- and sex-matched normal controls who underwent full-inspiratory and expiratory CT scans. The CT scans were sequentially aligned based on the surface, landmarks, and attenuation of the lung parenchyma. Histogram analyses were performed on the degree of lung expansion (DLE) of each pixel between the aligned images in x-, y-, z-axes, and 3-dimensionally (3D). The overall mean registration error was 1.9 mm between the CT scans. The DLE3D in ILD patients was smaller than in the controls (mean, 17.6 mm vs. 26.9 mm; p = 0.023), and less heterogeneous in terms of standard deviation, entropy, and uniformity (p < 0.05). These results were mainly due to similar results in the DLEZ of the lower lungs. A forced vital capacity tended to be weakly correlated with mean (r2 = 0.210; p = 0.074), and histogram parameters (r2 = 0.194–0.251; p = 0.048–0.100) of the DLE3D in the lower lung in ILD patients. Our findings indicate that reduced and less heterogeneous inspiratory lung expansion in ILD patients can be identified by using advanced accurate image registration.

Highlights

  • This study aimed to evaluate inspiratory lung expansion in patients with interstitial lung disease (ILD) using histogram analyses based on advanced image registration between inspiratory and expiratory computed tomography (CT) scans

  • Our quantitative 3-dimensional CT analysis revealed reduced and less heterogeneous inspiratory lung expansion in ILD patients, mainly attributable to reduced craniocaudal expansion of the lower lung. These results were obtained by advanced accurate registration of paired inspiratory and expiratory chest CT images based on the surface, landmarks, and attenuation of lung parenchyma[12,13], resulting in a mean registration error of less than 2 mm

  • Little is known about the pixel-level distribution of inspiratory lung expansion in normal subjects and ILD patients

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Summary

Introduction

This study aimed to evaluate inspiratory lung expansion in patients with interstitial lung disease (ILD) using histogram analyses based on advanced image registration between inspiratory and expiratory CT scans. Subjective evaluations of the degree of fibrosis on chest CT scans have been found to be useful for assessing severity and disease progression in IPF patients[7,8]. It was reported to be a useful option for assessing pulmonary functional loss in cases of chronic obstructive lung disease[11] It has not yet been reported in patients with ILD, presumably due to the difficulty of accurate image registration of fibrotic lungs between inspiratory and expiratory CT scans. The purpose of our study was to evaluate inspiratory lung expansion in patients with ILD using histogram analyses based on advanced image registration of inspiratory and expiratory CT scans

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