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AI-based imaging diagnostic systems for rectal cancer

Construction and validation of imaging diagnostic systems based on AI for rectal cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-jRCT1040210050
Enrollment
200
Registered
2021-08-06
Start date
2021-08-06
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

rectal cancer large intestine, rectum

Interventions

None listed

Sponsors

Ouchi Akira
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Pathologically diagnosed as adenocarcinoma (including mucinous, signet-cell, and medullary carcinoma) based on the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma (JCCAAC), 3rd English Edition on the resected specimen for rectal cancer 2) Performed abdominal and pelvic contrast-enhanced CT (aortic bifurcation to pelvis) or abdominal and pelvic contrast-enhanced MRI (aortic bifurcation to pelvis) before surgery. 3) Inversion depth was suspected cT2 or deeper on JCCAAC 3rd English Edition, mainly located at the low rectum or anal canal. 4) No preoperative chemotherapy or radiotherapy, and performed bilateral lateral pelvic lymph node dissection and primary rectal cancer resection. 5) No treatment history of surgery, chemotherapy, or radiotherapy for pelvic malignancies (including rectal, gynecologic, and urologic cancers). 6) No distant organ metastasis, distant lymph node metastasis, or peritoneal dissemination (not cStage IV) on preoperative images.

Exclusion criteria

Exclusion criteria: none

Design outcomes

Primary

MeasureTime frame
Construction of imaging diagnostic systems based on AI for rectal cancer

Secondary

MeasureTime frame
Validation of AI-based imaging diagnostic systems: false-positive rate, false-negative rate, positive predicting value, sensitivity, specificity, negative predicting value

Contacts

Public ContactAkira Ouchi

Aichi Cancer Center Hospital

akira.ouc@aichi-cc.jp+81-52-762-6111

Outcome results

None listed

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