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Efficient Automated Localization of ECoG Electrodes in CT Images Via Shape Analysis

NCT04479410 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 24

Last updated 2020-09-10

No results posted yet for this study

Summary

People with drug epilepsy (PwE) refractory to anti-seizure medications may be evaluated for surgery. In several cases non invasive presurgical work-up is not sufficient for localization of the Epileptogenic Zone and its correct delineation requires intracranial investigations by means of intraparenchymal or subdural electrodes.The methodological approach with subdural electrodes allows to obtain electrocorticography (ECoG) covering large cortical regions and to map eloquent areas.

To delineate the seizure onset zone it is mandatory to precisely localize the electrode position on the cortical surface. Electrodes are usually recognized by processing patients' computed tomography (CT) images using simple image processing (e.g. thresholding) that isolates metal objects. However, also wires, stitches, clips and other metal objects are actually recognized and need to be removed by manual intervention. A new automated method, based on shape analysis, will be retrospectively tested in a group of subjects with refractory focal epilepsy previously investigated with subdural electrodes for diagnostic purposes to provide advanced ECoG subdural electrodes recognition. A total of 24 CT scans with a large number (\> 1700) of round platinum electrodes arrays will be recruited for testing.

Conditions

  • Electrodes Recognition Ability

Sponsors & Collaborators

  • Federico II University

    collaborator OTHER

  • Neuromed IRCCS

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-01
Primary Completion
2020-08-25
Completion
2020-09-07

Countries

  • Italy

Study Locations

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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 NCT04479410 on ClinicalTrials.gov