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Artificial Intelligence For Outcomes Research in Crohn's Disease: Digital Pathology Assessment of Fibrosis and Association With Patient History and Clinical Outcomes

Artificial Intelligence For Outcomes Research in Crohn's Disease: Digital Pathology Assessment of Fibrosis and Association With Patient History and Clinical Outcomes

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07795476
Acronym
AIFOR-CD
Enrollment
100
Registered
2026-08-31
Start date
2026-10-01
Completion date
2027-05-15
Last updated
2026-08-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Crohn Disease

Keywords

Digital Pathology, Fibrosis

Brief summary

The goal of this retrospective observational study is to learn whether artificial intelligence-based digital pathology can measure intestinal fibrosis and help identify patients with Crohn's disease who may be at greater risk of disease progression and surgery. The main questions the study aims to answer are: Does the FibroNest Phenotypic Fibrosis Composite Score \[Ph-FCS(Muc)\], measured from routinely collected ileal biopsies, reflect the severity of fibrosis assessed by a pathologist? * Is Ph-FCS(Muc) associated with Crohn's disease characteristics and history? * Can Ph-FCS help predict whether a patient will subsequently require a first ileal surgical resection for fibrostenotic Crohn's disease? Researchers will retrospectively analyze previously collected ileal biopsies and medical information from adults with Crohn's disease. Biopsy slides will be digitized and analyzed using FibroNest digital pathology, and the resulting fibrosis measurements will be compared with pathologist assessments, clinical characteristics, disease history, and subsequent clinical outcomes.

Detailed description

Crohn's disease is a chronic inflammatory bowel disease that can lead to progressive intestinal fibrosis. Fibrosis contributes to structural bowel damage, strictures and obstruction and is an important cause of surgical intervention. However, intestinal fibrosis remains difficult to quantify objectively, particularly from routinely collected endoscopic biopsies, and there are limited validated tools to identify tissue fibrosis phenotypes associated with subsequent disease progression. AIFOR-CD (Artificial Intelligence for Outcomes Research in Crohn's Disease) is a retrospective observational study evaluating the use of artificial intelligence-based digital pathology to quantify and characterize fibrosis in routinely collected ileal biopsies from patients with Crohn's disease. The study uses the FibroNest Phenotypic Fibrosis Composite Score \[Ph-FCS(Muc)\], a continuous quantitative digital pathology biomarker derived from histological features of fibrosis measured in the mucosa of ileal biopsies. The study is organized around three complementary objectives: to validate Ph-FCS(Muc) against pathologist-assessed mucosal fibrosis severity; to investigate its relationship with Crohn's disease characteristics and history; and to explore whether quantitative fibrosis phenotypes in ileal biopsies can identify patients at increased risk of subsequent first ileal surgical resection for fibrostenotic Crohn's disease. The study will use previously collected histological specimens and retrospective clinical information. Digital pathology analyses will be performed using pseudonymized whole-slide images of ileal biopsies, with appropriate blinding between biomarker measurements and the reference assessments or clinical outcomes when applicable. AIFOR-CD is intended to determine whether quantitative assessment of fibrosis from routinely obtained endoscopic biopsies can provide objective information on intestinal fibrotic burden and contribute to the characterization and risk stratification of patients with Crohn's disease.

Interventions

DIAGNOSTIC_TESTPh-FCS(Muc) fibrosis severity Digital Pathology biomarker

Ph-FCS(Muc) is a continuous, quantitative digital pathology biomarker that integrates multiple histological features of mucosal fibrosis into a single fibrosis severity score, providing a more granular assessment than conventional ordinal histological staging.

Sponsors

PharmaNest, Inc
Lead SponsorINDUSTRY
Hospital Universitario Virgen del Rocio, Seville Spain
CollaboratorUNKNOWN
Hospital Universitario Virgen Macarena Seville, Spain
CollaboratorUNKNOWN
Hanauer IBD Center at Northwestern Medicine, Chicago, IL, USA
CollaboratorUNKNOWN
IBD Center, Department of Gastroenterology San Raffaele Hospital, Milan, Italy
CollaboratorUNKNOWN

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Adult pts (\>=18 years old) diagnosed with Crohn's disease based on Investigator's assessment. * Ileal biopsy with fibrosis Masson's Trichome staining available for digitization or already digitized at 40X ( or \~0.25micron per pixel) * The cohort will contain patients with various levels of intensity and distribution of fibrosis as defined by the pathologist with a minimum of 7 patients for any level of intensity and distribution for being required. * Minimum information available for each patient (see Appendix 2, table 1)

Exclusion criteria

* History of gastrointestinal endoscopic interventions and/or surgery for Crohn's disease management such as endoscopic balloon dilation, strictureplasty, stricturectomy or bowel resection prior to the index biopsy. * History of gastrointestinal surgery for any indication

Design outcomes

Primary

MeasureTime frameDescription
First ileal surgical resection for ileal fibro-stenotic Crohn's24 monthsFirst ileal surgical resection for ileal fibro-stenotic Crohn's , and No endoscopic procedure (balloon dilation, strictureplasty or stricturectomy)

Countries

Spain

Contacts

CONTACTHelene Petitjean P. Clinical Study Director, MD
info@pharmaenst.com+1 609 375 2003
CONTACTLi Chen, Study Director, Ph.D.
info@pharmaenst.com+1 609 375 2003
PRINCIPAL_INVESTIGATORManuel Romero Gomes, MD

Hospital Universitario Virgen del Rocio, Seville Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 1, 2026