- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04795388
Development of an Artificial Intelligence Algorithm (SMARTLOOP)
Development of an Artificial Intelligence Algorithm to Identify the Main Risks of Ischemia of Mechanical Intestinal Obstruction
Study Overview
Status
Conditions
Detailed Description
The abdominopelvic tomodensitometric examination is the gold standard for making a diagnosis and identifying the cause, the level of the lesion and looking for signs of severity related to the risk of ischemia of the intestinal tissue. Well characterized, these signs remain difficult to identify for a non-expert radiologist. The evaluation of the detection performance of these signs shows a sensitivity between 63 and 100% and a specificity between 61 and 96% with a great variation according to the signs studied.
Our research project aims to develop a tool for the detection of the three main signs of severity of mechanical intestinal obstruction to raise and standardize the level of detection of the risk of ischemia on abdominal CT images.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Ile De France
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Paris, Ile De France, France, 75014
- Groupe Hospitalier Paris Saint-Joseph
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patient whose age is ≥ 18 years
- Patients with an abdominal scan performed at Saint-Joseph Hospital
- Patients diagnosed with mechanical obstruction of the small intestine on a flange or adhesion
- Patients having abdominal surgery within 48 hours of diagnosis or medical follow-up at Saint Joseph Hospital
- French-speaking patient
Exclusion Criteria:
- Patients with a history of abdominal surgery one month before diagnosis
- Patients objecting to the use of their data for this research
- Patient under guardianship or curatorship
- Patient under legal protection
- Patient deprived of liberty
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction
Time Frame: Day 1
|
The comparison score (Dice) between manual classifications and locations performed by clinical experts and those automatically predicted by the tool.
|
Day 1
|
Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction
Time Frame: Day 1
|
The number of occlusions
|
Day 1
|
Collaborators and Investigators
Investigators
- Principal Investigator: Marc ZINS, Groupe Hospitalier Paris Saint Joseph
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SMARTLOOP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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