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Fast Automated Stereo-EEG Electrode Contact Identification and Labeling Ensemble
Brian Ervin1,2, Leonid Rozhkov1, Jason Buroker1
1Division of Neurology, Comprehensive Epilepsy Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Stereotactic and Functional Neurosurgery
|April 13, 2021
Summary
A new software, FASCILE, automates the identification and labeling of stereotactic electroencephalography (SEEG) electrode contacts. This tool significantly reduces the time and resources needed for epilepsy surgery evaluations.
Area of Science:
- Neurosurgery
- Epileptology
- Medical Imaging
Background:
- Stereotactic electroencephalography (SEEG) is crucial for drug-resistant epilepsy (DRE) surgical evaluation.
- Accurate localization of SEEG electrode contacts (ECs) is essential for surgical planning.
- Manual identification and labeling of SEEG ECs is time-consuming and resource-intensive.
Purpose of the Study:
- To develop and validate a novel automated software, FASCILE, for identifying, sorting, and labeling SEEG ECs.
- To compare the accuracy and efficiency of FASCILE against the conventional manual clinical process.
Main Methods:
- FASCILE utilizes a novel automated method for SEEG EC identification, sorting, and labeling.
- Localization error and Euclidean distances were computed to assess accuracy.
- Time efficiency was compared between FASCILE (developer and first-time user) and the manual method.
Main Results:
- FASCILE demonstrated a mean overall localization error of 0.73 ± 0.15 mm.
- Automated labeling with FASCILE took 10.7 ± 5.5 min/patient for a first-time user.
- This is a significant improvement over the conventional 3.3 ± 0.7 h/patient.
Conclusions:
- FASCILE offers an accurate, fast, and user-friendly solution for SEEG EC localization.
- The software is expected to streamline SEEG-driven epilepsy surgery evaluations.
- FASCILE is freely available for noncommercial use.
