Clinical trial · Observational
Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy
Hamlet-RT: Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Radical Image-Guided Radiotherapy | Radiation | — | UNRESOLVED |
Design
Arms and outcomes
Arms (4)
- label
- Prostate Cancer
- description
- Adults suitable for radical image-guided radiotherapy for their Prostate cancer, approximately 170 patients Components from RTOG, LENT SOM(A), RMH symptom scale and UCLA PCI (prostate cancer index) questionnaires will be used.
- interventionNames
- Radiation: Radical Image-Guided Radiotherapy
- label
- Head & Neck Cancer
- description
- Adults suitable for radical image-guided radiotherapy for their Head \& Neck cancer, approximately 140 patients. Components from CTCAE v3, LENT SOM(A), EORTC QLQ H+N35 \& Modified xerostomia questionnaires will be used.
- interventionNames
- Radiation: Radical Image-Guided Radiotherapy
- label
- Central Nervous System Tumours
- description
- Adults suitable for radical image-guided radiotherapy for their CNS tumour, as many patients recruited as possible. Components from RTOG, LENT SOM(A), Folstein mini mental state examination \& Generalised activites of daily living scale (G-ADL) questionnaires will be used.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available