Quantifying Lung Volume in Patients with Lung Diseases Using Chest CT

Aswathi P; Akshatha S; Thirumal S; Jenisha Shreshta; Jith U S

doi:10.63363/aijfr.2025.v06i05.1294

Quantifying Lung Volume in Patients with Lung Diseases Using Chest CT

Author(s)	Ms. Aswathi P, Ms. Akshatha S, Mr. Thirumal S, Ms. Jenisha Shreshta, Mr. Jith U S
Country	India
Abstract	Introduction: Lung diseases, such as COPD, pneumonia, and ILD, are significant global health concerns. Accurate lung volume quantification is crucial for effective diagnosis, treatment planning, and disease monitoring. Chest Computed Tomography (CT) offers detailed anatomical and functional insights, acting as a potential biomarker for early detection and prognosis. Aim: This study aimed to develop and validate a Chest CT-based approach for quantifying lung volume and airway changes in patients with various lung diseases, exploring its utility as a diagnostic and monitoring tool. Methodology: Conducted over six months at Aster CMI Hospital, Bengaluru, the study included 30 patients. A Philips Ingenuity 128 slices CT scanner was utilized for imaging. Patient data, including demographics, medical history, complaints, and diagnosis, were collected alongside CT scans. The methodology involved analysing existing CT scans and clinical data, assessing patient conditions, employing a standardized CT scan protocol, using semi-automated segmentation via the Philips IntelliSpace Portal system to isolate lungs, and automatically calculating lung volumes. Results: The study revealed significant variations in lung volume. COPD and ILD patients showed markedly larger lung volumes compared to those with asthma and lower respiratory tract infections. A strong correlation existed between lung volume and disease severity, most evident in COPD and ILD cases (e.g., mild COPD: 2.56L vs. severe: 3.89L; mild ILD: 2.34L vs. severe: 3.21L). Patients with asthma and lower respiratory tract infections generally had smaller lung volumes. The findings highlight lung volume measurement as a valuable biomarker for detecting disease progression and guiding treatment, with higher volumes correlating with increased hospitalization and mortality risks. Conclusion: This study effectively demonstrates the utility of semi-automated lung segmentation and lung volume measurement in lung disease patients. The results underscore its potential as a crucial biomarker for diagnosis and monitoring. Further research is necessary to fully explore its clinical applications and standardize protocols across diverse lung diseases.
Keywords	Lung diseases,Chronic Obstructive Pulmonary Disease (COPD),Interstitial Lung Disease (ILD)
Field	Medical / Pharmacy
Published In	Volume 6, Issue 5, September-October 2025
Published On	2025-09-17
DOI	https://doi.org/10.63363/aijfr.2025.v06i05.1294
Short DOI	https://doi.org/g938m6

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Quantifying Lung Volume in Patients with Lung Diseases Using Chest CT

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