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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

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Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Sohee Park¹, Sang Min Lee¹, Hye Jeon Hwang¹

¹Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

The British Journal of Radiology

|July 4, 2025

Summary

Quantitative CT imaging offers precise assessment of chronic obstructive pulmonary disease (COPD) beyond lung structure, evaluating vascular changes and body composition. Advanced techniques like deep learning improve accuracy, but clinical implementation faces challenges.

Keywords:

Airway Remodeling Chronic Obstructive Lung Disease Emphysema Quantitative Evaluation Tomography X-Ray Computed

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Area of Science:

Pulmonary Medicine
Radiology
Medical Imaging

Background:

Chronic obstructive pulmonary disease (COPD) is a complex condition with varied lung and non-lung manifestations.
Accurate assessment of COPD components is crucial for effective management.
Computed tomography (CT) imaging has emerged as a key tool for COPD evaluation.

Purpose of the Study:

To review recent advancements in quantitative CT imaging for COPD.
To explore the application of deep learning and image standardization in COPD assessment.
To discuss challenges and potential solutions for routine clinical implementation of quantitative CT.

Main Methods:

Review of current literature on quantitative CT in COPD.
Discussion of deep learning applications for automated CT parameter quantification.
Analysis of technological innovations like image standardization.

Main Results:

CT quantification extends beyond emphysema and small airway disease to include vascular alterations, ventilation-perfusion mismatches, and extrapulmonary features.
Deep learning enables fully automated segmentation and quantification of CT parameters.
Associations between quantitative CT parameters and clinical/physiologic outcomes are frequently reported.

Conclusions:

Quantitative CT imaging provides objective and reproducible assessment of diverse COPD manifestations.
Technological advancements are enhancing the precision and applicability of CT quantification.
Overcoming barriers to routine clinical implementation is essential for leveraging these advancements in COPD patient care.