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Abstract #3561

Hyperpolarized 3He MRI ADC and Ventilation Features Predict Rapidly Worsening Emphysema Using Machine-learning

Maksym Sharma1, Alexander M Matheson1, David G McCormack2, David A Palma1,3, and Grace Parraga1,2,3
1Medical Biophysics, Western University, London, ON, Canada, 2Division of Respirology, Department of Medicine, Western University, London, ON, Canada, 3Department of Oncology, Western University, London, ON, Canada

Pulmonary hyperpolarized 3He MRI provides a way to measure lung ventilation heterogeneity in patients with COPD, including terminal airspace enlargement or emphysema that is typically quantified using CT densitometry. Unfortunately, MRI-derived biomarkers of emphysema progression remain unconfirmed, and also likely because of radiation dose considerations, CT follow-up of emphysema is rarely performed, and hence its longitudinal progression is not well-understood. Here we developed a machine-learning pipeline that identified hyperpolarized 3He MRI texture features that independently and uniquely correlated and predicted rapidly-worsening emphysema nearly 3 years later, measured as CT RA950, using a Decision Tree algorithm that achieved 82% prediction accuracy.

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