Development of an Artificial Intelligence Algorithm

Fondation Hôpital Saint-Joseph589 enrolled

Overview

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

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

OBSERVATIONAL

Enrollment

589

Conditions

Mechanical Intestinal Obstruction

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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

Locations (1)

Groupe Hospitalier Paris Saint-Joseph

Paris, Île-de-France Region, France

Outcomes

Primary Outcomes

Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction

The comparison score (Dice) between manual classifications and locations performed by clinical experts and those automatically predicted by the tool.

Time frame: Day 1

Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction

The number of occlusions

Time frame: Day 1

Data from ClinicalTrials.gov

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