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Comprehensive experimental and computational mechanical characterisation of metastatic vertebrae

Project description

Better predictive models could reduce unnecessary spinal surgery

Spinal surgery is daunting in any case. For patients who are already battling cancer, the prospect carries with it additional physical and psychological burdens. Many cancer patients exhibit metastases to the spine, which form lesions that destroy bone (lytic spinal metastases), increasing the risk of fracture. Currently, there are no accurate quantitative approaches to determine this risk and thus whether a patient should undergo a serious intervention. The EU-funded METASPINE project is characterising these spinal lesions both experimentally and through modelling to develop predictive software that will accurately inform clinicians' decisions regarding the need for surgical treatment.

Objective

Lytic spinal metastases are frequent in cancer patients and can weaken vertebrae, increasing the risk of fracture and leading to spine instability. Qualitative scoring systems are used by oncologists and orthopaedic surgeons to decide if the metastatic vertebrae need to be surgically treated. However these guidelines are not accurate for all those patients with middle-size lesions. An accurate, quantitative and mechanistic computational model would improve the prediction of the risk of fracture in these patients. However, such models need first to be validated against well-controlled expertiments in the laboratory.
METASPINE will deliver for the first time a method to comprehensively understand the effect of the properties of bone lesions on the mechanical competence of metastatic vertebrae.
In this project, lytic defects will be experimentally reproduced in the vertebrae, which will be tested under multi-axial loading conditions in order to evaluate the effect of the lesions on the displacement and strain fields distributions. A combination of state of the art in situ mechanical testing, microCT imaging and Digital Volume Correlation will be used. Simultaneously, subject specific clinical CT based finite element models of the metastatic vertebrae will be generated, validated against the experimental data, and used to simulate scenarios which cannot be reproduced experimentally.
The applicant (Dr Marco Palanca) is a research fellow in the field of experimental spine biomechanics. He will apply his experimental skills to optimise the sample preparation, and mechanical testing. Moreover, the supervision, mentoring, and training provided by the host organization (University of Sheffield, Dr Dall’Ara and Integrative Musculoskeletal Biomechanics group) on imaging and subject-specific finite element modelling will complete his profile as a bioengineer with a specialization in tumour and spine biomechanics.

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Topic(s)

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MSCA-IF-EF-ST - Standard EF

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2018

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Coordinator

THE UNIVERSITY OF SHEFFIELD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 212 933,76
Address
FIRTH COURT WESTERN BANK
S10 2TN SHEFFIELD
United Kingdom

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Region
Yorkshire and the Humber South Yorkshire Sheffield
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 212 933,76
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