NCT04795388

Development of an Artificial Intelligence Algorithm

Development of an Artificial Intelligence Algorithm to Identify the Main Risks of Ischemia of Mechanical Intestinal Obstruction

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 589 (actual)
• Sponsor: Fondation Hôpital Saint-Joseph · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Mechanical obstruction of the small intestine is an interruption of intestinal transit due to an organic obstacle in the digestive tract that results in a shutdown of materials and gas. Without medical care, it can lead to perforation of the intestinal wall and acute peritonitis. It accounts for 4% of emergency department admissions and 20% of emergency surgeries

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.

Conditions

• Mechanical Intestinal Obstruction

Timeline

• Start date: 2020-08-01
• Primary completion: 2021-10-30
• Completion: 2023-12-31
• First posted: 2021-03-12
• Last updated: 2023-04-27

Locations

1 site across 1 country: France