Abstract #4866

Quantifying tidal volume and pulmonary fibrosis in a TGF-α transgenic mouse model with retrospective self-gating UTE MRI

Jinbang Guo^1,2, Zackary I. Cleveland¹, William D. Hardie³, Cynthia Davidson³, Xuefeng Xu³, and Jason C. Woods^1,2

¹Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, ²Physics, Washington University in St. Louis, St. Louis, MO, United States, ³Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Pulmonary fibrosis has high morbidity and mortality, but remains poorly understood. Many experimental and clinical studies have implied or demonstrated the role for transforming growth factor (TGF)-α in the pathogenesis of pulmonary fibrosis. We demonstrate the utilization of retrospective self-gating UTE MRI with ellipsoidal k-space coverage to measure the burden of pulmonary fibrosis in a TGF-α transgenic mouse model, with the dynamic progression of fibrotic burden well quantified longitudinally by both high-density lung volume percentage and tidal volume.

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