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(CRUK RadNet AHP Academy) Image Guidance Optimisation for Radiotherapy of Upper GI Cancers

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  • Full or part time
    Dr C Eccles
    Prof P Hoskin
    Dr A McWilliam
    Dr Ganesh Radhakrishna
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Interested candidates are invited to attend a virtual information and networking event for the CRUK RadNet AHP Academy on 12 May 2020 beginning at 13:00 (GMT). Please register for free here: https://www.eventbrite.co.uk/e/cruk-radnet-ahp-academy-networking-event-launch-tickets-102897360776.

This high-quality research project supervised by core members of the Allied Health Professions (AHP) Academic Hub, colleagues from the Radiotherapy Related Research (RRR) group and Manchester Cancer Research Centre (MCRC) will focus on the rapid translation of delivery of highly precise radiotherapy using our advanced radiotherapy (RT) platforms including the magnetic resonance guided linear accelerator (MR-Linac) and proton beam therapy (PBT).

We propose to recruit a high-quality Allied Health Professional (AHP) research student to undertake a PhD within the overarching theme of high precision radiotherapy, with a focus on motion management strategies (i.e., ways in which we can account for or reduce motion that occurs naturally in the body like breathing or stomach filling, so that we can accurately target the tumour). The theme of this project will be cross-cutting over new technologies implemented at the Christie Magnetic Resonance-Linear Accelerator (MR-Linac) and proton beam therapy (PBT).

To safely and effectively implement sophisticated personalised radiotherapy requires greater patient setup accuracy with improved motion management and image guidance. This PhD project will focus on the rapid translation of delivery of highly precise radiotherapy using our advanced RT platforms (PBT/MR-Linac). In the optimisation of personalised abdominal radiotherapy (i.e., liver, pancreas, gastric) there exist two major challenges, one being target and normal tissue visualisation at the time of treatment delivery and the other managing motion of the target and surrounding tissues, that may limit optimal dose delivery. For this PhD, the student will start by evaluating current and emerging image guidance practices for abdominal radiotherapy (e.g., conebeam CT, 4D conebeam CT, MRI), and the dosimetric (i.e., the measurement or modelling of the amount of dose received in the target and normal tissues) impacts of the selection of each strategy across multiple radiotherapy platforms (i.e., protons and photons). Using the information generated through imaging studies and clinical trials, as well as existing/commercially available models of tumour control and normal tissue toxicity (e.g., modified lyman-kutcher NTCP), the student will investigate patient and population-based image-guidance strategies leading to the development of clinical trials designed to improve patient outcomes in terms of overall survival and local control.

Entry Requirements

Candidates are required to be registered or eligible for registration as an allied health professional (AHP) with the Health and Carers Professions Council (HCPC), preferably as a radiographer.

For Non-Clinical Studentships, candidates must hold, or be about to obtain, a minimum upper second class (or equivalent) undergraduate degree in a relevant subject. A related master’s degree would be an advantage.

Funding Notes

This Project is funded by Cancer Research UK RadNet Manchester. This four year Studentship will cover an annual stipend (currently at £19,000 per annum), running expenses and PhD tuition fees at UK/EU rates. Where international student fees are payable, please provide evidence within your application of how the shortfall will be covered (approximately £19,000 per annum).

As an equal opportunities institution we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.



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