06/25/2026
What if Xenon MRI could help identify, with extremely high accuracy, whether a patient is healthy, has Interstitial Lung Disease (ILD), or has Chronic Obstructive Pulmonary Disease (COPD)?
A newly published study demonstrates how Xenon MRI moves beyond disease characterization and closer to clinical decision-making.
Using four key biomarkers derived from a Xenon MRI exam, researchers demonstrated the ability to distinguish ILD from COPD and from healthy participants with high sensitivity and specificity:
✔️ Areas of little or no airflow in the lungs (ventilation defect percentage)
✔️ Abnormal gas diffusion across the alveolar membrane (high membrane percentage)
✔️ Reduced capillary blood volume n the lower lungs (basilar red blood cell [RBC]defect)
✔️ Impaired blood oxygenation measured noninvasively (assessed through RBC xenon chemical shift)
Patients with chronic lung disease often undergo multiple tests before reaching a diagnosis, and differentiating between disease processes can be challenging. The ability to classify patients from a radiation-free functional imaging exam has the potential to support earlier diagnosis, improve diagnostic confidence, and guide patient management.
Read the study to learn more about research using Xenon MRI is shaping the future of lung health.
This study, with a novel decision tree algorithm, represents another important contribution from the team at Duke University Health System including, Fuyao Li, Dr. Suphachart Leewiwatwong, Dr. Hong Qin, Dr. Bryan O'Sullivan-Murphy, Dr. Aparna Swaminathan, Dr. David Mummy, and Dr. Bastiaan Driehuys, to the growing field of functional lung imaging.
Read more here: https://www.academicradiology.org/article/S1076-6332(26)00289-8/abstract