J 2022

Development and Validation of the 5-SENSE Score to Predict Focality of the Seizure-Onset Zone as Assessed by Stereoelectroencephalography

ASTNER-ROHRACHER, A.; G. ZIMMERMANN; T. AVIGDOR; C. ABDALLAH; N. BAROT et. al.

Basic information

Original name

Development and Validation of the 5-SENSE Score to Predict Focality of the Seizure-Onset Zone as Assessed by Stereoelectroencephalography

Authors

ASTNER-ROHRACHER, A.; G. ZIMMERMANN (guarantor); T. AVIGDOR; C. ABDALLAH; N. BAROT; Milan BRÁZDIL (203 Czech Republic, belonging to the institution); Irena DOLEŽALOVÁ (203 Czech Republic, belonging to the institution); J. GOTMAN; J. HALL; K. IKEDA; P. KAHANE; G. KALSS; V. KOKKINOS; M. LEITINGER; I. MINDRUTA; L. MINOTTI; M. M. MIZERA; I. OANE; M. RICHARDSON; S. U. SCHUELE; E. TRINKA; A. URBAN; B. WHATLEY; F. DUBEAU and B. FRAUSCHER

Edition

JAMA neurology, Chicago, IL, American Medical Association, 2022, 2168-6149

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

30210 Clinical neurology

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

Impact factor

Impact factor: 29.000

RIV identification code

RIV/00216224:14110/22:00125189

Organization unit

Faculty of Medicine

UT WoS

000728826400003

EID Scopus

2-s2.0-85120754390

Keywords in English

5-SENSE Score; Seizure-Onset Zone; Stereoelectroencephalography; Development; Validation

Tags

Tags

International impact, Reviewed
Changed: 1/2/2022 10:49, Mgr. Tereza Miškechová

Abstract

V originále

IMPORTANCE Stereoelectroencephalography (SEEG) has become the criterion standard in case of inconclusive noninvasive presurgical epilepsy workup. However, up to 40% of patients are subsequently not offered surgery because the seizure-onset zone is less focal than expected or cannot be identified. OBJECTIVE To predict focality of the seizure-onset zone in SEEG, the 5-point 5-SENSE score was developed and validated. DESIGN, SETTING, AND PARTICIPANTS This was a monocentric cohort study for score development followed by multicenter validation with patient selection intervals between February 2002 to October 2018 and May 2002 to December 2019. The minimum follow-up period was 1 year. Patients with drug-resistant epilepsy undergoing SEEG at the Montreal Neurological Institute were analyzed to identify a focal seizure-onset zone. Selection criteria were 2 or more seizures in electroencephalography and availability of complete neuropsychological and neuroimaging data sets. For validation, patients from 9 epilepsy centers meeting these criteria were included. Analysis took place between May and July 2021. MAIN OUTCOMES AND MEASURES Based on SEEG, patients were grouped as focal and nonfocal seizure-onset zone. Demographic, clinical, electroencephalography, neuroimaging, and neuropsychology data were analyzed, and a multiple logistic regression model for developing a score to predict SEEG focality was created and validated in an independent sample. RESULTS A total of 128 patients (57 women [44.5%]; median [range] age, 31 [13-58] years) were analyzed for score development and 207 patients (97 women [46.9%]; median [range] age, 32 [16-70] years) were analyzed for validation. The score comprised the following 5 predictive variables: focal lesion on structural magnetic resonance imaging, absence of bilateral independent spikes in scalp electroencephalography, localizing neuropsychological deficit, strongly localizing semiology, and regional ictal scalp electroencephalography onset. The 5-SENSE score had an optimal mean (SD) probability cutoff for identifying a focal seizure-onset zone of 37.6 (3.5). Area under the curve, specificity, and sensitivity were 0.83, 76.3%(95% CI, 66.7-85.8), and 83.3%(95% CI, 72.30-94.1), respectively. Validation showed 76.0%(95% CI, 67.5-84.0) specificity and 52.3%(95% CI, 43.0-61.5) sensitivity. CONCLUSIONS AND RELEVANCE High specificity in score development and validation confirms that the 5-SENSE score predicts patients where SEEG is unlikely to identify a focal seizure-onset zone. It is a simple and useful tool for assisting clinicians to reduce unnecessary invasive diagnostic burden on patients and overutilization of limited health care resources.