Spots Global Cancer Trial Database for Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy

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Trial Identification

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

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

Study ID: NCT04060706

Conditions

Cancer

Interventions

Radical Image-Guided Radiotherapy

Study Description

Brief 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.

Detailed Description: