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Medical Records Based Study for Automatic Delineation of the Clinical Target Volume and Organs at Risk by Deep Learning for Rectal Cancer Postoperative Radiotherapy

Automatic Delineation of the Clinical Target Volume and Organs at Risk by Deep Learning for Rectal Cancer Postoperative Radiotherapy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900028157
Enrollment
Unknown
Registered
2019-12-14
Start date
2019-12-30
Completion date
Unknown
Last updated
2019-12-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Rectal cancer

Interventions

Deep Learning Group:Using deep learning to delineate the target area
Manual delineate group:Manual delineate the target area

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
25 Years to 85 Years

Inclusion criteria

Inclusion criteria: Postoperative T1, T2, T3 stages of rectal cancer patients who perform radiotherapy at department of radiation oncology, west china hospital during February 2018 to April 2019.

Exclusion criteria

Exclusion criteria: Patients whose CT images cannot meet the requirements of deep learning

Design outcomes

Primary

MeasureTime frame
DICE;—

Countries

China

Contacts

Public ContactYing Song

West China Hospital, Sichuan University

songying_Wch@163.com+86 13608186952

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026