Abstract
Objective:
To test the diagnostic accuracy of a new automatic algorithm for ictal onset source localization
(IOSL) during routine presurgical epilepsy evaluation following STARD (Standards for Reporting of Diagnostic Accuracy) criteria.
Methods:
We included 28 consecutive patients with refractory focal epilepsy (25 patients with temporal
lobe epilepsy (TLE) and 3 with extratemporal epilepsy) who underwent resective epilepsy surgery. Ictal
EEG patterns were analyzed with a novel automatic IOSL algorithm. IOSL source localizations on a sublobar
level were validated by comparison with actual resection sites and seizure free outcome 2 years after surgery.
Results: Sensitivity of IOSL was 92.3% (TLE: 92.3%); specificity 60% (TLE: 50%); positive predictive value
66.7% (TLE: 66.7%); and negative predictive value 90% (TLE: 85.7%). The likelihood ratio was more than
ten times higher for concordant IOSL results as compared to discordant results (p = 0.013).
Conclusions: We demonstrated the clinical feasibility of our IOSL approach yielding reasonable high
performance measures on a sublobar level.
Significance: Our IOSL method may contribute to a correct localization of the seizure onset zone in temporal
lobe epilepsy and can readily be used in standard epilepsy monitoring settings. Further studies are needed
for validation in extratemporal epilepsy.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1291-1299 |
| Seitenumfang | 9 |
| Fachzeitschrift | Clinical Neurophysiology |
| Volume | 129 |
| Issue | 129 |
| Publikationsstatus | Veröffentlicht - 2018 |
Research Field
- Exploration of Digital Health
Schlagwörter
- new automatic algorithm
- for
- ictal
- onset source localization
- during
- routin
- presurgical
- epilepsy
- evaluation
- IOSL
- extratemporal
- feasibility
- likelihood