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NCT Number: NCT07551375

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.

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Key information

Conditions

Acute Cholecystitis Biliary Tract Diseases Cholecystitis Cholecystitis, Acute Digestive System Diseases Gallbladder Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Peking Union Medical College Hospital

Beijing, Beijing Municipality, 100730, China

Location status: Recruiting

Location contact

Wang

CONTACT

[email protected]

+86-10-69152623

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Image Quality Score of Fast Abdominopelvic MRI With Deep Learning Reconstruction

    Time frame: Immediately after MRI scan completion

Study contacts

Contact information is provided by the study sponsor or research team.

li

CONTACT

[email protected]

+86-13051096636

Sponsors and collaborators

Lead sponsor

Peking Union Medical College Hospital

Other

Registry information

Official study title

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

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Apr 24, 2026
Registry last updated
Apr 24, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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