Deep learning reconstruction boosts MRCP diagnostic confidence for IPMN and CBD stones

In 91 patients, deep learning reconstruction on MRCP significantly improved image quality and boosted reader diagnostic confidence for intraductal papillary mucinous neoplasm (IPMN) typing, malignancy criteria, and common bile duct (CBD) stone detection.

• Deep learning reconstruction significantly improved objective metrics including signal-to-noise ratio, contrast, and contrast-to-noise ratio, especially for 2D sequences of the CBD.
• Subjective evaluation by two radiologists showed higher ratings for overall image quality, noise reduction, and contrast on DL-reconstructed images.
• This was a single-center retrospective study without a procedural reference standard, so direct impact on diagnostic accuracy and patient outcomes remains to be evaluated prospectively.

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