Computational model of SNS using tractography

  • Research type

    Research Study

  • Full title

    Computational model of SNS (sacral nerve stimulation) induced electrical current flow using tractography imaging

  • IRAS ID

    202959

  • Contact name

    Carolynne J. Vaizey

  • Contact email

    cvaizey@nhs.net

  • Sponsor organisation

    London North West Healthcare NHS Trust

  • Duration of Study in the UK

    2 years, 0 months, 1 days

  • Research summary

    Sacral Nerve Stimulation (SNS) is an established treatment for faecal incontinence. It involves implanting a lead around a nerve root which contains nerves that travel to anus and anal sphincters and nerves that carry signals from these structures to brain. The lead is connected to a stimulator implanted in buttock. It is an effective treatment for 70-80% of patients in short term and around half of the patients will continue to benefit from this therapy beyond 5 years.
    However, some patients experience loss of efficacy over time and adverse stimulation effects such as pain and discomfort. Currently little is known about the spread of the electric current from the lead and its effect on adjacent tissues. The aim of this study is to obtain finer details of tissues surrounding a lead in the pelvis using a combination of high resolution anatomical MRI sequences and diffusion tensor imaging (DTI). DTI is a non-invasive technique sometimes described as fibre tractography that enables visualization of the pathways and integrity of nerves. In this feasibility study we plan to use DTI to assess the sacral plexus and its peripheral nerves. A computational model will be constructed by superimposing SNS lead from a CT scan onto the DTI imaging to map out the electrode position. It is hoped that this study will lead to better understanding of both therapeutic and adverse stimulation effects and enable patient-specific adjustments of stimulation parameters.

  • REC name

    London - Riverside Research Ethics Committee

  • REC reference

    16/LO/1724

  • Date of REC Opinion

    1 Dec 2016

  • REC opinion

    Further Information Favourable Opinion