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Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence

Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence - Predictive model of lymph node metastasis in T1 colorectal cancer using artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000026552
Enrollment
600
Registered
2017-03-15
Start date
2016-11-16
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 Nothern Yokohama Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Patients who received complete treatment for submucosal invasive colorectal cancer with endoscopic resection or surgical resection 2.Written informed consent

Exclusion criteria

Exclusion criteria: 1.Presence of synchronous or metachronous advanced colorectal cancer 2.Presence of malignant diseases in any other organs

Design outcomes

Primary

MeasureTime frame
The presence of lymph node metastasis

Countries

Japan

Contacts

Public ContactKatsuro Ichimasa

Showa University Nothern Yokohama Hospital Digestive Disease Center

ichitommy14@yahoo.co.jp045-949-7000

Outcome results

None listed

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