Clinical trial NCT04795388: Development of an Artificial Intelligence Algorithm
Official title: Development of an Artificial Intelligence Algorithm to Identify the Main Risks of Ischemia of Mechanical Intestinal Obstruction
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Mechanical Intestinal Obstruction
Keywords: ischemia
Lead sponsor: Fondation Hôpital Saint-Joseph
Sponsor class: OTHER
First posted: 2021-03-12
Enrollment: 589
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Patients with an abdominal scan performed at Saint-Joseph Hospital and diagnosed with mechanical obstruction of the small intestine on a flange or adhesion

Brief 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.

Eligibility criteria: 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

Primary outcomes:
measure: Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction
timeFrame: Day 1
measure: Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction
timeFrame: Day 1
Secondary outcomes:
Other outcomes:
Locations:
city: Paris
country: France
facility: Groupe Hospitalier Paris Saint-Joseph
state: Ile De France
Study officials:
affiliation: Fondation Hôpital Saint-Joseph
name: Marc ZINS
role: PRINCIPAL_INVESTIGATOR
References: