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Abstract #2565

Image quality ranking for breast diffusion-weighted MRI in a multi-center clinical trial

Wen Li1, Julia Carmona-Bozo1, Lisa J Wilmes1, Natsuko Onishi1, Jiachao Liang1, Jessica E Gibbs1, Nu N Le1, Judith Zimmermann1, David C Newitt1, Bonnie N Joe1, John Kornak1, Savannah C Partridge2, Patrick Bolan3, I-SPY 2 Investigator Network4, I-SPY 2 Imaging Working Group1, and Nola M Hylton1
1University of California, San Francisco, San Francisco, CA, United States, 2University of Washington, Seattle, WA, United States, 3University of Minnesota, Minneapolis, MN, United States, 4Quantum Leap Healthcare, San Francisco, CA, United States

Synopsis

Keywords: Breast, CancerAcquiring breast diffusion-weighted MRI (DWI) with adequate image quality is a challenge in multi-center clinical trials. The most common issues are inadequate fat suppression, image artifacts, and poor signal-to-noise ratio (SNR). We developed and evaluated a DWI quality ranking system for identifying data with quality issues while preserving analyzable data. The identification of artifacts and adequate SNR had the highest and lowest inter-reader agreement, respectively. Removing inferior quality data improved prediction of pathologic outcome following neoadjuvant treatment in a multi-center clinical trial. The quality ranking system standardizes identification of poor quality data and informs recommendations for improvement to clinical sites.

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Keywords