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

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

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.

Inclusion Criteria:

• Participant is willing and able to give informed consent for participation in the study
• Male or Female
• Aged 18 years or older
• Diagnosed with primary prostate cancer, head and neck cancer, lung cancer, or brain tumour
• Treated with curative intent
• Suitable for radical image guided radiotherapy
• WHO ECOG performance status 0 or 1
• Expected survival of 18 months or more

Exclusion Criteria:

• Participant is not willing or able to complete the protocol-stated requirements of the study, e.g. accessing & completing web-based long-term follow-up questionnaires.