MELD as an Adjunct for SEEG Trajectories

NCT04383028 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2021-11-19

No results posted yet for this study

Summary

Epilepsy is a disorder of the brain which is associated with disabling seizures and affects 100,000 people under 25. Many children with epilepsy also have a learning disability or problems with development. Although better outcomes occur in children who are successfully treated early for their epilepsy, 25% continue to have seizures despite best medical treatment.

One potential treatment is a neurosurgical operation to remove parts of the brain that generate seizures. A proportion of these children have electrodes inserted into their brains as part of their clinical assessment, termed stereoelectroencephalography (SEEG), to help localise these regions. Subsequent surgery is not always successful - up to 40% of children will have ongoing seizures 5 years after surgery.

The planning of where to place SEEG electrodes relies on experts (neurologists, neurophysiologists and neurosurgeons) using information from multiple sources, which are used to generate hypotheses about where the seizures are coming from. The main components are the patient's magnetic resonance imaging (MRI) scan and video-electroencephalography (EEG) recordings during seizures. Using this information, between 5-18 electrodes are implanted and the recordings continue for 5-15 days in hospital. A focus is identified in about 75% of cases which means that the focus is sometimes missed.

This prospective single arm pilot study aims to assess a new automated lesion detection algorithm, MELD, designed to identify focal cortical dysplasias (the most common pathology associated with focal epilepsy in children) on otherwise 'normal' MRI scans. The investigators will assess whether MELD can be used to improve the targeting of abnormalities in children undergoing SEEG recording at Great Ormond Street Hospital

Conditions

  • Epilepsy
  • Epilepsy, Focal
  • Epilepsy, Refractory

Interventions

PROCEDURE

MELD algorithm use to aid in the planning of SEEG electrode trajectories

During the routine SEEG planning meetings, the planning of SEEG trajectories, including the number and location of electrodes, will follow the usual clinical pathway and be planned according to the expertise of the attending neurosurgeon, neurophysiologist and neurologist at the multidisciplinary team meeting. Once the trajectories have been planned, anonymised scans for each patient (linked to them via a unique study ID) will be run through the MELD classifier and the top 3 MELD identified lesion clusters will be considered for further implantation. These top 3 MELD classifier identified clusters will then be merged with the existing clinical plan to assess if each of the clusters are already being sampled by an SEEG electrode. If there is already an electrode in each lesion, no adjustments will be made. If there are clusters that are not being recorded from, and it is technically possible, extra electrodes (up to 3) will be added to record from these additional locations.

Sponsors & Collaborators

  • Great Ormond Street Hospital for Children NHS Foundation Trust

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
3 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-07-01
Primary Completion
2022-04-30
Completion
2022-05-30

Countries

  • United Kingdom

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04383028 on ClinicalTrials.gov