Validating MRI muscle analysis in peripheral nerve injury

  • Research type

    Research Study

  • Full title

    Validating quantification MRI muscle analysis in denervation renervation; Developing a clinical tool to predict the success of nerve repair using quantitative MR (qMRI) data- Signal change and volumetrics.

  • IRAS ID

    235012

  • Contact name

    Tom Quick

  • Contact email

    t.quick@ucl.ac.uk

  • Sponsor organisation

    Royal National orthopaedic hospital

  • Duration of Study in the UK

    1 years, 0 months, 1 days

  • Research summary

    Nerve injury is a common and debilitating condition that can leave muscles paralysed.

    The process of muscle reinnervation is one which is key to rehabilitation and recovering function. The processes have been well studied in animal models and we wish to develop tools to allow us to noninvasively collect the same parameters in human subjects to inform clinical care.

    Non-invasive Quantitative MR (Q-MRI) technologies (both signal and volumetric analysis) over time are likely to serve as useful tools in better understanding the process of muscle reinnervation by utilisation of a standardised surgical model. By extension, this technique will offer clinical data to assess current state, follow recovery and after when linked with outcomes may offer a way of predicting outcome and assisting in decision-making.

    These qMRI parameters may serve as a clinical model through which the success of surgical nerve repair can be predicted and provide a valuable secondary outcome measure in future clinical trials.

  • REC name

    Yorkshire & The Humber - Sheffield Research Ethics Committee

  • REC reference

    17/YH/0413

  • Date of REC Opinion

    22 Dec 2017

  • REC opinion

    Further Information Favourable Opinion