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Updated: Jul 5, 2025
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
Published on: April 12, 2024
612
Hyperpolarized Gas Imaging in Lung Diseases: Functional and Artificial Intelligence Perspective
Ziwei Zhang1, Haidong Li2, Sa Xiao2
1Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, People's Republic of China (Z.Z., S.L., L.F.).
Academic Radiology
|January 17, 2024
Summary
Hyperpolarized gas MRI using inhaled xenon-129 (¹²⁹Xe) offers advanced insights into lung function and structure. This technique shows promise for early detection and monitoring of various lung diseases, surpassing traditional imaging methods.
Area of Science:
- Pulmonary Medicine and Imaging Science
- Medical Physics and Biomedical Engineering
Background:
- Lung diseases cause significant ventilation and gas exchange alterations.
- Conventional imaging like X-ray and CT lack comprehensive functional lung evaluation.
- Proton MRI is limited by low proton density in lung tissue.
Purpose of the Study:
- To review the emerging technology of hyperpolarized gas MRI using inhaled xenon-129 (¹²⁹Xe).
- To highlight its potential as a clinical tool for diagnosing and monitoring lung diseases.
- To discuss the integration of artificial intelligence in this field.
Main Methods:
- Review of hyperpolarized ¹²⁹Xe MRI studies in patients with pulmonary diseases.
- Focus on functional and microstructural information provided by ¹²⁹Xe MRI.
- Inclusion of studies on chronic obstructive pulmonary disease, asthma, cystic fibrosis, pulmonary hypertension, radiation-induced lung injury, and interstitial lung disease.
Main Results:
- Hyperpolarized ¹²⁹Xe MRI provides detailed functional and microstructural lung information.
- Demonstrated utility across a spectrum of lung pathologies.
- Emerging applications of artificial intelligence enhance data analysis and interpretation.
Conclusions:
- Hyperpolarized ¹²Xe MRI is a promising technology for assessing lung diseases.
- It offers advantages over traditional imaging for early detection and disease progression monitoring.
- Further research and clinical integration are warranted.
