Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
RECRUITING
NCT04060706

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

Sponsor: CCTU- Cancer Theme

View on ClinicalTrials.gov

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

RADIATION

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