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

Cancer Clinical Trial

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

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04060706
Study type Observational [Patient Registry]
Source Cambridge University Hospitals NHS Foundation Trust
Contact Meena Murthy
Phone 01223 349707
Email meena.murthy@addenbrookes.nhs.uk
Status Recruiting
Phase
Start date September 11, 2019
Completion date January 1, 2028
View Details
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