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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07551375

Enrollment

300

Registered

2026-04-24

Start date

2024-06-01

Completion date

2026-12-31

Last updated

2026-04-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Cholecystitis

Brief summary

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

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

Countries

China

Contacts

CONTACTli

m17685768911@163.com+86-13051096636

Outcome results