Prospective Intestinal Ultrasound Study for Artificial Intelligence Algorithm Development
PSIUSAD
Prospective Study for Intestinal Ultrasound Algorithm Development
1 other identifier
observational
95
1 country
1
Brief Summary
This observational study will use intestinal ultrasound images to help develop computer programs that may make it easier to assess bowel inflammation. The study will include adults who are healthy or who are having an intestinal ultrasound as part of care for inflammatory bowel disease, such as Crohn disease or ulcerative colitis. Researchers want to find out whether a computer program can measure bowel wall thickness from ultrasound images as accurately as experienced ultrasound clinicians. They will also explore whether the program can identify other changes in the bowel. Participants will have an intestinal ultrasound as part of their usual care. People who agree to take part will allow the research team to use de-identified ultrasound images and a small amount of related health information. No medication, experimental treatment, or additional ultrasound procedure will be given for this study. The computer program will not be used to make decisions about a participant's care, and participants will not receive individual results from the program.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2026
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 2, 2026
CompletedFirst Posted
Study publicly available on registry
September 10, 2026
CompletedStudy Start
First participant enrolled
September 15, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
February 1, 2027
September 10, 2026
September 1, 2026
5 months
September 2, 2026
September 9, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Artificial Intelligence-Generated Bowel Wall Thickness Measurement Agreement
Agreement between bowel wall thickness measurements generated by the artificial intelligence computer-vision algorithm and manual bowel wall thickness measurements performed by experienced sonographers using de-identified intestinal ultrasound images and cine loops. Agreement will be assessed using the pre-specified performance metric in the statistical analysis plan.
Day 1, after completion of the intestinal ultrasound examination
Secondary Outcomes (7)
Bowel Wall Layer Stratification Feasibility
Day 1, after completion of the intestinal ultrasound examination
Luminal Diameter Measurement Feasibility
Day 1, after completion of the intestinal ultrasound examination
Bowel Wall Flow Assessment Feasibility
Day 1, after completion of the intestinal ultrasound examination
Bowel Wall Scarring Assessment Feasibility
Day 1, after completion of the intestinal ultrasound examination
Gastrointestinal Motility Assessment Feasibility
Day 1, after completion of the intestinal ultrasound examination
- +2 more secondary outcomes
Study Arms (1)
Intestinal Ultrasound Participants
This cohort includes adults aged 18 years and older who are either healthy or undergoing intestinal ultrasound for inflammatory bowel disease screening, monitoring, or another clinical reason. Participants will undergo intestinal ultrasound as part of routine clinical care. With informed consent, de-identified ultrasound images and cine loops, along with limited associated information such as age, sex, self-reported race, and relevant scan-related details, will be collected for artificial intelligence algorithm development. No study drug, experimental treatment, or experimental device will be administered. The artificial intelligence algorithms will not be used to guide participant care or provide individual diagnostic results during the study.
Interventions
Intestinal ultrasound images and cine loops will be collected from adults undergoing ultrasound as part of routine clinical care. Following informed consent, the images and cine loops will be de-identified and used for artificial intelligence algorithm development, training, tuning, and testing. The study does not assign participants to receive an intervention, and the ultrasound is not performed solely for research purposes. The artificial intelligence algorithms developed using the data will not be used to guide participant care or provide individual diagnostic results during the study.
Eligibility Criteria
The study population will consist of adults aged 18 years and older who are either healthy or undergoing intestinal ultrasound for inflammatory bowel disease screening, monitoring, or another clinical reason. Participants will be recruited through the IBD Centre of BC and other participating study sites. The study may include individuals with inflammatory bowel disease and healthy volunteers. The study aims to include a diverse participant population to support evaluation of artificial intelligence algorithm performance across different participant characteristics.
You may qualify if:
- Adults aged 18 years or older.
- Individuals who are either healthy with no known finding of inflammatory bowel disease before the ultrasound examination or undergoing intestinal ultrasound for inflammatory bowel disease screening, monitoring, or another clinical reason.
- Individuals who are able and willing to provide informed consent for the collection and use of de-identified study data.
You may not qualify if:
- Individuals who do not meet the study demographic requirements.
- Individuals unable or unwilling to provide informed consent.
- Pregnant individuals.
- Individuals with health conditions managed using drugs or medical-device intervention, or with unmanaged conditions or conditions requiring monitoring, that could affect study eligibility or the ultrasound assessment.
- Individuals who have recently taken contrast-enhancing compounds.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of British Columbialead
- IBD Centre of BCcollaborator
- Providence Health Care Venturescollaborator
- Dova Health Intelligence Inccollaborator
Study Sites (1)
IBD Centre of BC
Vancouver, British Columbia, V6Z 2L2, Canada
Related Publications (4)
Jauregui-Amezaga A, Rimola J. Role of Intestinal Ultrasound in the Management of Patients with Inflammatory Bowel Disease. Life (Basel). 2021 Jun 23;11(7):603. doi: 10.3390/life11070603.
PMID: 34201630BACKGROUNDFrias-Gomes C, Torres J, Palmela C. Intestinal Ultrasound in Inflammatory Bowel Disease: A Valuable and Increasingly Important Tool. GE Port J Gastroenterol. 2021 Nov 23;29(4):223-239. doi: 10.1159/000520212. eCollection 2022 Jul.
PMID: 35979252BACKGROUNDNovak KL, Nylund K, Maaser C, Petersen F, Kucharzik T, Lu C, Allocca M, Maconi G, de Voogd F, Christensen B, Vaughan R, Palmela C, Carter D, Wilkens R. Expert Consensus on Optimal Acquisition and Development of the International Bowel Ultrasound Segmental Activity Score [IBUS-SAS]: A Reliability and Inter-rater Variability Study on Intestinal Ultrasonography in Crohn's Disease. J Crohns Colitis. 2021 Apr 6;15(4):609-616. doi: 10.1093/ecco-jcc/jjaa216.
PMID: 33098642BACKGROUNDGoodsall TM, Nguyen TM, Parker CE, Ma C, Andrews JM, Jairath V, Bryant RV. Systematic Review: Gastrointestinal Ultrasound Scoring Indices for Inflammatory Bowel Disease. J Crohns Colitis. 2021 Jan 13;15(1):125-142. doi: 10.1093/ecco-jcc/jjaa129.
PMID: 32614386BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Matthew J Smyth, MD
University of British Columbia, IBD Centre of BC
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Clinical Professor
Study Record Dates
First Submitted
September 2, 2026
First Posted
September 10, 2026
Study Start
September 15, 2026
Primary Completion (Estimated)
February 1, 2027
Study Completion (Estimated)
February 1, 2027
Last Updated
September 10, 2026
Record last verified: 2026-09
Data Sharing
- IPD Sharing
- Will not share
Individual participant-level data will not be made available to external researchers. The study will collect de-identified intestinal ultrasound images, cine loops, and limited associated information for use by Dova Health Intelligence Inc. in quality assessment, annotation, artificial intelligence algorithm training, tuning, testing, and related future algorithm-development activities described in the study protocol. Data will not be made publicly available or shared outside the authorized study collaborators.