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Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images - Artificial Intelligence-Assisted Prediction of Lymph Node Metastasis in Early-Stage Colorectal Cancer Using Digital Slide Images

Status
Recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000046992
Enrollment
100
Registered
2022-03-01
Start date
2021-12-01
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

Sponsors

Digestive Disease Center, Showa University Northern Yokohama Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Surgical or endoscopically resected colon tumor

Exclusion criteria

Exclusion criteria: Cases with difficult pathological evaluation

Design outcomes

Primary

MeasureTime frame
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for lymph node metastasis—

Countries

Japan

Contacts

Public ContactYuta Kouyama

Showa University Northern Yokohama Hospital Digestive Disease Center

kouyuta1101@yahoo.co.jp045-949-7000

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026