Comparative Evaluation of Diffusion Weighted Imaging Sequences for Predicting Muscle Invasion in 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) sequencesResults: 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.