Development of an Artificial Intelligence System for Histological Subclassification of Colorectal Serrated Lesions

Development of an Artificial Intelligence System for Histological Subclassification of Colorectal Serrated Lesions - Colorectal Serrated Lesions AI

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000060083

Enrollment

400

Registered

2025-12-15

Start date

2025-10-30

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Colorectal serrated lesion

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients diagnosed with colorectal serrated lesions between May 2013 and August 2025.

Exclusion criteria

Exclusion criteria: None.

Design outcomes

Primary

Measure	Time frame
Diagnostic Performance of the Developed AI in Differentiating SSLs from MVHPs	—

Secondary

Measure	Time frame
1. Diagnostic Performance of AI for Identifying Traditional Serrated Adenomas (TSAs) 2. Diagnostic Performance of AI for Identifying Sessile Serrated Lesions with Dysplasia (SSLDs) 3. Subtype-Specific Positivity Rates of Immunohistochemical Markers, Including MIB-1, MLH1, BRAF V600E, p53, and Annexin A10 4. Prevalence of Dysplasia in Sessile Serrated Lesions (SSLs) 5. Subtype-Specific Frequency, Maximum Size, Morphology, Location, and Presence of Dysplasia in Colorectal Serrated Lesions	—

Measure

Time frame

1. Diagnostic Performance of AI for Identifying Traditional Serrated Adenomas (TSAs) 2. Diagnostic Performance of AI for Identifying Sessile Serrated Lesions with Dysplasia (SSLDs) 3. Subtype-Specific Positivity Rates of Immunohistochemical Markers, Including MIB-1, MLH1, BRAF V600E, p53, and Annexin A10 4. Prevalence of Dysplasia in Sessile Serrated Lesions (SSLs) 5. Subtype-Specific Frequency, Maximum Size, Morphology, Location, and Presence of Dysplasia in Colorectal Serrated Lesions

—

Countries

Japan

Contacts

Public ContactKakeru Otomo

Fukushima Medical University, Aizu Medical Center Department of Gastroenterology

be59733a@fmu.ac.jp0242-75-2100

Outcome results