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Research on the Intelligent Whole Process of Head and Neck Radiotherapy Based on Deep Learning

Research on the Intelligent Whole Process of Head and Neck Radiotherapy Based on Deep Learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000039066
Enrollment
Unknown
Registered
2020-10-15
Start date
2020-11-01
Completion date
Unknown
Last updated
2021-01-18

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

Conditions

Head and neck tumors

Interventions

Deep Learning Group:Deep learning delineate the target area
Manual delineate group:Manual delineate the target area

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
25 Years to 85 Years

Inclusion criteria

Inclusion criteria: The source of the data to be collected is the head and neck radiotherapy patients of the Department of Radiotherapy of West China Hospital from January 2018 to June 2020. It is necessary to collect the patient's radiotherapy CT images, MRI, radiotherapy plan and dose, age, gender, diagnosis, staging information, and patients The data is stored in the Raystation, Pinnacle and eclipse planning systems of the Radiotherapy Department of West China Hospital (4th Floor, Medical Technology Building).

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frame
DICE;Accuracy;Consistency;Outline efficiency;—

Countries

China

Contacts

Public ContactYing Song

West China Hospital of Sichuan University

songying_Wch@163.com+86 13608186952

Outcome results

None listed

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