Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy
Recruiting · NCT04060706 · Observational (researchers observe without assigning treatment) · Lead sponsor: CCTU- Cancer Theme
View the official record on ClinicalTrials.gov →Interventions studied
What this trial is about
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.
Who can take part
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.
Where it is running
1 location listed.
- Cambridge University Hospitals NHS Foundation Trust - Cambridge, Cambridgeshire, United Kingdom