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Updated: Nov 1, 2025

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
Published on: June 20, 2025
Quantifying normal lung in pulmonary fibrosis: CT analysis and correlation with %DLCO
Kathleen M Capaccione1, Aijin Wang2, Shing M Lee2
1Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States of America.
A new scoring system for chest CT scans in usual interstitial pneumonitis (UIP) effectively quantifies disease severity. This quantitative measure correlates significantly with lung function, offering improved clinical information.
Area of Science:
- Radiology
- Pulmonary Medicine
- Quantitative Imaging
Background:
- Chest CT scans are standard for monitoring pulmonary fibrosis progression.
- A lack of standardized quantitative assessment hinders accurate disease severity reporting.
- Developing a grading system can enhance radiologist-clinician communication.
Purpose of the Study:
- To develop and validate a quantitative scoring system for assessing usual interstitial pneumonitis (UIP) severity on HRCT scans.
- To evaluate the correlation between the proposed CT scoring system and pulmonary function tests.
Main Methods:
- Retrospective analysis of 96 patients with UIP on HRCT scans.
- A radiologic scoring system assessed the percentage of normal lung per lobe (0-20 scale).
- Spearman correlation analyzed the relationship between CT score and percent diffusing capacity of the lungs for carbon monoxide (DLCO).
Main Results:
- The CT scoring system ranged from 4 to 18 (average 10.9).
- Percent DLCO ranged from 17% to 88% (average 44.5%).
- A significant positive correlation (r=0.622, P < 0.001) was found between CT score and percent DLCO.
Conclusions:
- The developed scoring system provides a quantitative measure of normal lung on chest CT for UIP patients.
- This quantitative measure significantly correlates with percent DLCO, indicating its utility in assessing disease severity.
- The system shows promise for enhancing the information provided by radiologists to clinicians.
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