Prediction of lymph node metastasis in T1 colorectal cancer with artificial intelligence

Prediction of lymph node metastasis in T1 colorectal cancer with artificial intelligence - AMED T1 study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000038609

Enrollment

3500

Registered

2019-11-22

Start date

2017-10-25

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

T1 colorectal cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Patients with T1 colorectal cancer who received complete treatment for submucosal invasive colorectal cancer with endoscopic resection or surgical resection 2.Written informed consent

Exclusion criteria

Exclusion criteria: 1.Lynch syndrome 2.Familial adenomatous polyposis 3.Ulcerative colitis 4.Neo adjuvant chemo- or radio-therapy 5.Synchronous invasive carcinoma

Design outcomes

Primary

Measure	Time frame
Predictive value (sensitivity, specificity, accuracy, AUC)	—

Countries

Japan

Contacts

Public ContactKatsuro Ichimasa

Showa University Nothern Yokohama Hospital Digestive Disease Center

ichitommy14@yahoo.co.jp045-949-7000

Outcome results