Diagnostic Value of Deep Learning-Based Rapid MRI in Preoperative Evaluation of Acute Cholecystitis

This is a single-center, prospective observational study at Peking Union Medical College Hospital. The main goal is to evaluate the image quality and clinical value of a new fast abdominopelvic MRI sequence that uses deep learning-based reconstruction. The study will include adult patients (18 years or older) who need an MRI scan of the abdomen or pelvis as part of their routine care. These patients will receive both the standard MRI sequence and the new fast sequence, with the goal of comparing the two. The fast sequence is designed to be shorter (5-8 minutes) while maintaining or improving image quality, which can help reduce patient discomfort and motion-related artifacts. Radiologists will assess the quality of the images from both sequences. The study will also look at how well the fast sequence can detect common abdominal and pelvic diseases, such as gallstones, inflammation, and tumors. This study does not involve new drugs, invasive procedures, or changes to standard care. No additional risks to patients are expected beyond those of a standard MRI scan.

NCT Number	NCT07551375
Lead Sponsor	Peking Union Medical College Hospital
Conditions	Acute Cholecystitis
Enrollment	300 participants
Start Date	2024-06-01
Primary Completion	2026-08-12 (estimated)
Study Completion	2026-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-04-24