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

CCTU- Cancer Theme

Status: Enrolling

Conditions: Cancer

Treatments: Radiation: Radical Image-Guided Radiotherapy

Study type: Observational

Funder types: Other; Industry

Identifiers

NCT04060706

Hamlet.rt

Details and patient eligibility

About

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.

Enrollment: 310 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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.

Trial design

310 participants in 4 patient groups

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.

Treatment:

Radiation: Radical Image-Guided Radiotherapy

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.

Treatment:

Radiation: Radical Image-Guided Radiotherapy

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.

Treatment:

Radiation: Radical Image-Guided Radiotherapy

Lung Cancer

Description:

Adults suitable for radical image-guided radiotherapy for their Lung cancer, as many patients recruited as possible. Components from RTOG \& LENT SOM(A) questionnaires will be used.

Treatment:

Radiation: Radical Image-Guided Radiotherapy