Acute CholecystitisNCT07551375
Diagnostic Value of Deep Learning-Based Rapid MRI in Preoperative Evaluation of Acute Cholecystitis
An observational study of Acute Cholecystitis, run by Peking Union Medical College Hospital at 1 site in China.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Acute Cholecystitis
- How many people
- 300 participants
- Where
- 1 siteChina
- Study dates
- 1 Jun 2024to 31 Dec 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
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.
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
Peking Union Medical College Hospital
Beijing, Beijing Municipality, 100730
Wang, +86-10-69152623, wangweibin@pumch.cn
About this study
Official title: 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.
- Conditions
- Acute Cholecystitis
- Medical subject headings
- Cholecystitis, Acute
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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 being measured
The primary outcome is the main question the study is designed to answer.
Image Quality Score of Fast Abdominopelvic MRI With Deep Learning Reconstruction
Measured: Immediately after MRI scan completion
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Apr 2026
- Study start1 Jun 2024
- Primary completion12 Aug 2026 (estimated)
- Study completion31 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Acute CholecystitisStudies of the same condition, open and under way.
- More trials run by Peking Union Medical College HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 300 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Peking Union Medical College Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Weibin Wang, Peking Union Medical College Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07551375
- Sponsor's protocol ID
- I-24PJ1043
- Status last verified
- Apr 2026
- First submitted
- 18 Apr 2026
- Last updated
- 24 Apr 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
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.
PubMed 41653278
Study at a glance
From the registry record, last updated by the sponsor on 24 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Fast Abdominopelvic MRI With Deep Learning-Based Reconstruction Algorithm: Image Quality Evaluation and Application in Patients With Common Abdominal and Pelvic Diseases
- ClinicalTrials.gov ID
- NCT07551375
- Acronym / sponsor ID
- I-24PJ1043
- Conditions
- Acute Cholecystitis
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 300 participants (estimated)
- Lead sponsor
- Peking Union Medical College HospitalUniversity, hospital or other
- Study start
- 1 Jun 2024 (actual)
- Primary completion
- 12 Aug 2026 (estimated)
- Study completion
- 31 Dec 2026 (estimated)
- First posted
- 24 Apr 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Image Quality Score of Fast Abdominopelvic MRI With Deep Learning Reconstruction
Time frame: Immediately after MRI scan completion
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Apr 2026.
- Background: PubMed 41653278Li 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Acute Cholecystitis, run by Peking Union Medical College Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 24 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact li (+86-13051096636, m17685768911@163.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Image Quality Score of Fast Abdominopelvic MRI With Deep Learning Reconstruction (time frame: Immediately after MRI scan completion). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07551375, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Apr 2026.