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Abstract #4323

Comparative Evaluation of Diffusion Weighted Imaging Sequences for Predicting Muscle Invasion in Bladder Cancer

Yuchuan Tan1, Hanli Dan1, Lu Yang1, Lisha Nie2, Yipeng Zhang1, and Jiuquan Zhang1
1Chongqing University Cancer Hospital, Chongqing, China, 2GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: Urogenital, Bladder, cancer

Motivation: The limitations of current diffusion-weighted imaging (DWI) techniques in predicting muscle invasion in bladder cancer necessitate a comprehensive comparison of different DWI sequences to improve diagnostic accuracy.

Goal(s): Evaluate the image quality of four diffusion sequences(ssDWI/FOCUS/MUSE/FOCUS-MUSE) and assess their effectiveness in predicting muscle invasion in bladder cancer.

Approach: 44 primary bladder cancer patients underwent imaging using clinical and four diffusion weighted imaging (DWI) sequences

Results: Among the four diffusion sequences, field-of-view optimized and constrained undistorted single-shot (FOCUS) combined with multiplexed sensitivityencoding (MUSE) has the best image quality, and the highest accuracy in predicting muscle invasion of bladder cancer.

Impact: FOCUS-MUSE diffusion weighted imaging can accurately predict muscle invasion of bladder cancer.

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