Personalized structural image analysis in patients with temporal lobe epilepsy.

Rummel, Christian; Slavova, Nedelina Bozhidarova; Seiler, Andrea Barbara; Abela, Eugenio; Hauf, Martinus; Burren, Yuliya; Weisstanner, Christian; Vulliemoz, Serge; Seeck, Margitta; Schindler, Kaspar Anton; Wiest, Roland (2017). Personalized structural image analysis in patients with temporal lobe epilepsy. Scientific Reports, 7(1), p. 10883. Nature Publishing Group 10.1038/s41598-017-10707-1

[img]
Preview
Text
s41598-017-10707-1.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (4MB) | Preview

Volumetric and morphometric studies have demonstrated structural abnormalities related to chronic epilepsies on a cohort- and population-based level. On a single-patient level, specific patterns of atrophy or cortical reorganization may be widespread and heterogeneous but represent potential targets for further personalized image analysis and surgical therapy. The goal of this study was to compare morphometric data analysis in 37 patients with temporal lobe epilepsies with expert-based image analysis, pre-informed by seizure semiology and ictal scalp EEG. Automated image analysis identified abnormalities exceeding expert-determined structural epileptogenic lesions in 86% of datasets. If EEG lateralization and expert MRI readings were congruent, automated analysis detected abnormalities consistent on a lobar and hemispheric level in 82% of datasets. However, in 25% of patients EEG lateralization and expert readings were inconsistent. Automated analysis localized to the site of resection in 60% of datasets in patients who underwent successful epilepsy surgery. Morphometric abnormalities beyond the mesiotemporal structures contributed to subtype characterisation. We conclude that subject-specific morphometric information is in agreement with expert image analysis and scalp EEG in the majority of cases. However, automated image analysis may provide non-invasive additional information in cases with equivocal radiological and neurophysiological findings.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Rummel, Christian, Slavova, Nedelina Bozhidarova, Seiler, Andrea Barbara, Abela, Eugenio, Hauf, Martinus, Burren, Yuliya, Weisstanner, Christian, Schindler, Kaspar Anton, Wiest, Roland Gerhard Rudi

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2045-2322

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Martin Zbinden

Date Deposited:

25 Oct 2017 08:53

Last Modified:

02 Mar 2023 23:29

Publisher DOI:

10.1038/s41598-017-10707-1

Related URLs:

PubMed ID:

28883420

BORIS DOI:

10.7892/boris.105345

URI:

https://boris.unibe.ch/id/eprint/105345

Actions (login required)

Edit item Edit item
Provide Feedback