Prediction of lymph node metastasis in colorectal T2 cancer using artificial intelligence

Prediction of lymph node metastasis in colorectal T2 cancer using artificial intelligence - Prediction of lymph node metastasis in colorectal T2 cancer using artificial intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000038257

Enrollment

500

Registered

2019-11-01

Start date

2019-10-01

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

T2 colorectal cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Cases of surgically resected T2 colorectal cancer that can be histologically diagnosed presense of lymph node metastasis.

Exclusion criteria

Exclusion criteria: Preoperative treatment. Patients who have not undergone lymph node dissection with local treatment alone. Double cancer. Multiple cancer. Hereditary colorectal cancer. Colitic cancer.

Design outcomes

Primary

Measure	Time frame
Ability to predict lymph node metastasis in T2 colorectal cancer.	—

Countries

Japan

Contacts

Public ContactKenta Nakahara

Showa University Northern Yokohama Hospital Digestive disease center

ke_nakahara@yahoo.co.jp0459497000

Outcome results