Abstract #0303

Evaluating Stack-of-Stars and FLORET 3D Ultrashort Echo Time MRI to Assess Structural Pathology in Cystic Fibrosis Lung Disease

Abdullah S. Bdaiwi¹, Matthew M. Willmering^1,2, Joseph W. Plummer^1,3,4, Riaz S. Hussain¹, and Zackary I. Cleveland^1,2,3,5

¹Center for Pulmonary Imaging Research,Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, ²Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States, ³Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, ⁴National Heath, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, ⁵Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Synopsis

Keywords: Lung, Lung, Cystic Fibrosis

Motivation: Lung MRI is challenging due to rapid signal decay and respiratory motion, which are mitigated by Ultrashort-Echo Time (UTE). This study evaluates the ability of two UTE sequences, Stack-of-Stars (SoS) and FLORET to identify lung abnormalities in people with cystic fibrosis (pwCF).

Goal(s): Compare image quality and clinical relevance of SoS and FLORET lung UTE in pwCF.

Approach: Twenty-seven pwCF underwent SoS and FLORET 3D-UTE imaging. Images were evaluated quantitatively and via reader scoring, relative to CT.

Results: Relative to SoS, FLORET provided superior image quality and improved sensitivity to abnormalities, with FLORET-derived scores correlating significantly with those from CT.

Impact: Compared to Stack-of-Stars, FLORET 3D-UTE, provides isotropic sampling and better respiratory gating and thus enabled superior lung imaging in pwCF. Reader-scoring of lung abnormalities correlated better with CT scores, suggesting superior clinical utility.

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