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

Status: Recruiting
Location: See location...
Study Type: Observational
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• 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

Locations
Other Locations
China
Peking Union Medical College Hospital
RECRUITING
Beijing
Contact Information
Primary
li
m17685768911@163.com
+86-13051096636
Time Frame
Start Date: 2024-06-01
Estimated Completion Date: 2026-12-31
Participants
Target number of participants: 300
Treatments
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.
Sponsors
Leads: Peking Union Medical College Hospital

This content was sourced from clinicaltrials.gov