NCT04060706

Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy

Hamlet-RT: Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 310 (estimated)
• Sponsor: CCTU- Cancer Theme · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

The Hamlet.rt study is a prospective data collection and patient questionnaire study for patients undergoing image-guided radiotherapy with curative intent. The aim of the study is to use novel machine learning and mathematical techniques to build a model that can predict the risk of significant side effects from radiotherapy treatment for an individual patient: using calculations of normal tissue dose from radiotherapy treatment planning and patient baseline characteristics derived from image and non-image data, continuously updated as the patient is reviewed both during and after treatment. A secondary goal of the project is to facilitate research in machine learning and medical image processing for radiation therapy through the creation of a discoverable and shared data resource for research use.

Conditions

• Cancer

Interventions

Type	Name	Description
RADIATION	Radical Image-Guided Radiotherapy	Questionnaires administered will monitor the clinical toxicity experienced by each patient up to 5 years post radiotherapy

Timeline

• Start date: 2019-09-11
• Primary completion: 2023-01-01
• Completion: 2028-01-01
• First posted: 2019-08-19
• Last updated: 2021-08-02

Locations

1 site across 1 country: United Kingdom