Computational study for optimization of a patient-specific spinal cage
Research type
Research Study
Full title
Finite element analysis study for the optimization of spinal interbody fusion devices based on medical images (e.g. X-ray/CT/MRI) from patients who underwent to lumbar spinal fusion.
IRAS ID
207716
Contact name
Deepak Kalaskar
Contact email
Sponsor organisation
University College London
Clinicaltrials.gov Identifier
Z6364106/2016/09/72, UCL Data Protection Registration Number
Duration of Study in the UK
3 years, 0 months, 1 days
Research summary
This study will be conducted at UCL London for the duration of 3 years. The aim is to improve spinal surgery by developing a novel patient-specific device for lumbar spine. Data of patients who underwent or are planning to go for lumbar fusion surgery are required. In particular, we need to collect medical images pre- and post- surgery, such as x-ray, CT and MRI scans as well as details of the implants that the surgeon have used during the surgery. In this way, we are able to build a 3D model of the spine and design a patient-specific cage device. Computational analysis will be performed to compare the performance of different materials, geometries and internal structures for the device and to design a new patient-specific spinal implant, which can lead to better surgical outcomes.
REC name
West Midlands - Edgbaston Research Ethics Committee
REC reference
16/WM/0474
Date of REC Opinion
18 Nov 2016
REC opinion
Favourable Opinion