Development and validation of the AI-based diagnosis system for pathological findings in invasive front of colorectal cancer

Development and validation of the AI-based diagnosis system for pathological findings in invasive front of colorectal cancer - AI-based pathological diagnosis system for colorectal cancer

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000039011

Enrollment

450

Registered

2020-02-01

Start date

2020-02-01

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 cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Cohort 1_study cohort Patients received curative resection of pT1 colorectal adenocarcinoma between Jan. 2011 and Dec. 2013 in National Defense Medical Collage (NDMC). 2) Cohort 2_validation cohort i. Patients received curative resection of pT1 colorectal adenocarcinoma between Jan. 2007 and Dec. 2008 in NDMC and Tokyo Medical and Dental University (TMDU). ii. Patients received curative resection of pT1 colorectal adenocarcinoma between Jan. 2008 and Dec. 2010 in NDMC. 3) Cohort 3_exploratory cohort Patients received curative resection of pStage II-III colorectal adenocarcinoma between Jan. 2007 and Dec. 2008 in NDMC and TMDU.

Exclusion criteria

Exclusion criteria: 1) Appendiceal cancer 2) Not adenocarcinoma 3) Inflammatory bowel disease 4) Familial adenomatous polyposis 5) Synchronous or metachronous Multiple colorectal cancer (>pT1) 6) Synchronous or metachronous active malignancies

Design outcomes

Primary

Measure	Time frame
Accuracy of models (i.e. dice coefficient, Jaccard Index)	—

Countries

Japan

Contacts

Public ContactMegumi ISHIGURO

Institute of Science Tokyo Health Science Research and Development Center

ishiguro.srg2@tmd.ac.jp03-5803-4730

Outcome results