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

NCT04060706 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 310

Last updated 2021-08-02

No results posted yet for this study

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.

Conditions

Interventions

RADIATION

Radical Image-Guided Radiotherapy

Questionnaires administered will monitor the clinical toxicity experienced by each patient up to 5 years post radiotherapy

Sponsors & Collaborators

  • University of Cambridge

    collaborator OTHER

  • Microsoft Research

    collaborator INDUSTRY

  • CCTU- Cancer Theme

    lead OTHER

Principal Investigators

  • Raj Dr. Jena · Cambridge University Hospitals NHS Foundation Trust & the University of Cambridge

  • Suzanne Miller · Cambridge University Hospitals NHS Foundation Trust

  • Amy Bates · Cambridge University Hospitals NHS Foundation Trust

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-09-11
Primary Completion
2023-01-01
Completion
2028-01-01

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04060706 on ClinicalTrials.gov