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Trial Title:
Development of New Diagnostic Tools in Capsule Endoscopy
NCT ID:
NCT06152289
Condition:
Bowel Disease
Crohn Disease
Celiac Disease
Chronic Diarrhea
Tumor
Conditions: Official terms:
Crohn Disease
Celiac Disease
Diarrhea
Conditions: Keywords:
Small bowel
Capsule endoscopy
Artificial intelligence
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Summary:
Patients participating to this study will provide images and videos of capsule endoscopy
to train, tune and evaluate technological bricks of artificial intelligence solutions, in
order to improve diagnostic performances of the procedure, while reducing reading time by
physicians.
Detailed description:
Capsule endoscopy is a minimally-invasive diagnostic procedure based on the ingestion (or
endoscopic delivery) of a miniaturized biocompatible, camera. Capsules capture tenths of
thousands images of the digestive tract. Reading the captured images and reporting is
long, tedious, and at risk of errors when the reader's attention is disturbed. Artificial
intelligence is expected to alleviate these limitations, by both improving diagnostic
performances of capsule endoscopy while reducing reading time.
Any patient in whom a capsule endoscopy examination is performed as part of routine care
will be invited to participate to the study. Their de-identified images and videos will
be extracted, thus allowing the creation of several databases for training, tuning and
testing technological bricks of artificial intelligence. Basic clinical data will be
collected (age, gender, indication for capsule endoscopy, type of device, ingestion or
delivery of capsule). Images and videos will be characterized centrally and consensually
by a panel of 3 expert readers, according to their level of relevance in relation to the
type and indication of capsule endoscopy.
The various, developed technological bricks will aim to automatically detect and
characterize anatomical landmarks and abnormal findings, and to quote the intestine
cleanliness.
Assessment of diagnostic performance and reading time will be performed within a few
months or up to five years, for each technological brick, individually and then combined,
according to their stepwise development.
Criteria for eligibility:
Study pop:
Any patient in whom a capsule endoscopy examination is performed as part of routine care
Sampling method:
Non-Probability Sample
Criteria:
Inclusion Criteria:
- Any patient in whom a capsule endoscopy examination is performed as part of routine
care.
Exclusion Criteria:
- Opposition to the use of images and videos from daily, routine care for research
purposes.
Gender:
All
Minimum age:
N/A
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Centre d'Endoscopie Digestive Hôpital Saint-Antoine
Address:
City:
Paris
Zip:
75012
Country:
France
Status:
Recruiting
Contact:
Last name:
Xavier DRAY, MD PhD
Phone:
+33 (0) 49 28 21 60
Email:
Xavier.dray@aphp.fr
Start date:
February 10, 2023
Completion date:
February 2028
Lead sponsor:
Agency:
Assistance Publique - Hôpitaux de Paris
Agency class:
Other
Source:
Assistance Publique - Hôpitaux de Paris
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06152289