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Updated: Jan 6, 2026

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
Published on: June 20, 2025
A modified method of lung tissue volume measurement using computed tomography numbers
Taiga Kobayashi1, Yoshie Kunihiro2, Masaki Takemitsu3
1Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan. taiga.k@yamaguchi-u.ac.jp.
This study developed a new method using computed tomography (CT) numbers to accurately calculate lung tissue volume. This noninvasive technique provides reliable reference values for lung health and disease assessment.
Area of Science:
- Pulmonary imaging and quantitative analysis.
- Medical physics and biomedical engineering.
Background:
- Computed tomography (CT)-derived lung tissue volumes often exceed those from other methods.
- Accurate reference values for normal lung tissue volume are crucial for understanding lung diseases and assessing lung function and growth.
Purpose of the Study:
- To establish a precise method for calculating lung tissue volume utilizing CT numbers.
- To provide reliable reference values for normal lung tissue volume.
Main Methods:
- Developed an equation for lung tissue volume calculation based on volume and composition ratios, using defined CT numbers for air and lung tissue.
- Determined CT number definitions by measuring atelectasis areas and tracheal air.
- Evaluated measurement error in normal cases across multiple CT scans and breathing phases.
- Calculated lung tissue volume in 100 normal individuals (50 males, 50 females).
Main Results:
- Lung tissue volume demonstrated a moderate correlation with height (r=0.65) and a strong correlation with total lung volume (r=0.75).
- Estimated lung tissue volume was approximately 530 ml for a standard body size (1.7 m height).
- The developed method exhibited a variation of 1.7-17.4%.
Conclusions:
- The CT number-based measurement method aligns with previous non-image analysis findings.
- This noninvasive technique offers significant potential for generating novel anatomical lung information.
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