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

Fast Abdominopelvic MRI With Deep Learning-Based Reconstruction Algorithm: Image Quality Evaluation and Application in Patients With Common Abdominal and Pelvic Diseases

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.

Study Overview

• Status: Recruiting
• Conditions: Acute Cholecystitis

• Study Type: Observational
• Enrollment (Estimated): 300

Contacts and Locations

• Study Contact: Name: li; Phone Number: +86-13051096636; Email: m17685768911@163.com

Study Locations

• China
  • Beijing Municipality
    • Beijing, Beijing Municipality, China, 100730
      • Recruiting
      • Peking Union Medical College Hospital
      • Contact: Wang; Phone Number: +86-10-69152623; Email: wangweibin@pumch.cn

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

The study population consists of adult patients (aged 18 years and older) with clinically suspected acute calculous cholecystitis, who are admitted to Peking Union Medical College Hospital and planned for cholecystectomy. All patients will undergo preoperative fast MRI with deep learning reconstruction for risk stratification and severity grading. Patients with absolute MRI contraindications or non-biliary causes of abdominal pain are excluded.

Description

Inclusion Criteria:

• Age ≥ 18 years
• Clinical indication for abdominopelvic MRI examination
• Able to understand and sign the informed consent form
• Able to lie supine and cooperate with breath-holding/respiratory commands during MRI

Exclusion Criteria:

• Presence of absolute contraindications to MRI (e.g., pacemaker, ferromagnetic foreign body, severe claustrophobia)
• Inability to complete the MRI scan due to severe pain, instability, or altered mental status
• Pregnant or breastfeeding women (unless explicitly approved by protocol)
• Previous abdominal/pelvic surgery with contraindications to MRI sequences

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
Patients Undergoing Fast Abdominopelvic MRI; Adult patients (≥18 years) with clinical indications for abdominopelvic MRI, who will undergo both standard MRI and fast MRI with deep learning-based reconstruction. The primary focus is to evaluate image quality and diagnostic performance of the fast sequence for common abdominal and pelvic diseases.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Time Frame
Image Quality Score of Fast Abdominopelvic MRI With Deep Learning Reconstruction	Immediately after MRI scan completion

Collaborators and Investigators

• Sponsor: Peking Union Medical College Hospital

Publications and helpful links

General Publications

• Li T, Zhao Y, Dong L, Han J, Zhao B, Lin C, Wang W. Preoperative Iron Isomaltoside administration enhances postoperative anemia recovery in robotic pancreatic surgery. J Robot Surg. 2026 Feb 7;20(1):227. doi: 10.1007/s11701-026-03176-0. No abstract available.

Study record dates

Study Major Dates

• Study Start (Actual): June 1, 2024
• Primary Completion (Estimated): August 12, 2026
• Study Completion (Estimated): December 31, 2026

Study Registration Dates

• First Submitted: April 18, 2026
• First Submitted That Met QC Criteria: April 18, 2026
• First Posted (Actual): April 24, 2026

Study Record Updates

• Last Update Posted (Actual): April 24, 2026
• Last Update Submitted That Met QC Criteria: April 18, 2026
• Last Verified: April 1, 2026

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Digestive System Diseases; Biliary Tract Diseases; Gallbladder Diseases; Cholecystitis; Cholecystitis, Acute
• Other Study ID Numbers: I-24PJ1043

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No