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Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy
Sponsor: CCTU- Cancer Theme
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.
Official title: Hamlet-RT: Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
310
Start Date
2019-09-11
Completion Date
2028-01-01
Last Updated
2021-08-02
Healthy Volunteers
Not specified
Conditions
Interventions
Radical Image-Guided Radiotherapy
Questionnaires administered will monitor the clinical toxicity experienced by each patient up to 5 years post radiotherapy
Locations (1)
Cambridge University Hospitals NHS Foundation Trust
Cambridge, Cambridgeshire, United Kingdom