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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Glenn
Harden
Glenn.Harden@addenbrookes.nhs.uk
Dr
Rajesh
Jena
rjena@nhs.net
Suzanne
Miller
suzanne.miller1@addenbrookes.nhs.uk
More information about this study, what is involved and how to take part can be found on the study website.
Malignant neoplasms of eye, brain and other parts of central nervous systemMalignant neoplasms of lip, oral cavity and pharynxMalignant neoplasms of male genital organsMalignant neoplasms of respiratory and intrathoracic organs
This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.
Hamlet.rt is a collaborative research study undertaken by the Oncology Centre at Addenbrooke’s Hospital, the Cambridge Cancer Trials Centre, The Centre for Mathematical Imaging in Healthcare at the University of Cambridge, and the Microsoft Radiomics team at Microsoft Research, Cambridge. The aim of the study is to evaluate new mathematical models and machine learning technologies to assist clinical staff in the usage of medical imaging for cancer patients, specifically those who are receiving radiotherapy treatment. Ultimately, we wish to use these tools to build a system that can help predict the risk of significant side effects of radiation therapy for each individual patient who needs radiotherapy treatment.
The models and technologies that we need to develop for this project fall into two areas. In collaboration with colleagues at Microsoft Research we will develop machine learning tools that allow us automatic identification of the position and extent of tumour and healthy organs in CT and MRI scans that are used both to prepare radiotherapy treatment, and during image guided radiotherapy treatment. This process is known as image segmentation and it is the first step in any form of detailed image analysis in radiation therapy. The second area is the construction of continuously learning models that can predict the likelihood and severity of a side effect occurring in a patient, based on image data, clinical assessments during radiotherapy, and questionnaires of patients’ symptoms both before and after radiotherapy.
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
Observational type: Qualitative;
You can take part if:
You may not be able to take part if:
Not willing or able to complete the Protocol-stated requirements of the study e.g. accessing & completing web-based long-term follow-up questionnaires.
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
Glenn
Harden
Glenn.Harden@addenbrookes.nhs.uk
Suzanne
Miller
suzanne.miller1@addenbrookes.nhs.uk
Dr
Rajesh
Jena
rjena@nhs.net
More information about this study, what is involved and how to take part can be found on the study website.
The study is sponsored by CAMBRIDGE UNIVERSITY HOSPITALS NHS FOUNDATION TRUST and funded by CANCER RESEARCH UK; MICROSOFT CORPORATION; .
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
Read full details
for Trial ID: CPMS 40897
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
