Automated volumetry of hippocampal subfields in temporal lobe epilepsy.


Journal

Epilepsy research
ISSN: 1872-6844
Titre abrégé: Epilepsy Res
Pays: Netherlands
ID NLM: 8703089

Informations de publication

Date de publication:
09 2021
Historique:
received: 21 04 2021
revised: 21 05 2021
accepted: 18 06 2021
pubmed: 28 6 2021
medline: 30 3 2022
entrez: 27 6 2021
Statut: ppublish

Résumé

Hippocampal sclerosis is the most frequent pathological substrate in drug resistant temporal lobe epilepsy (TLE). Recently 4 types of hippocampal sclerosis (HS) have been defined in a task force by the International League Against Epilepsy (ILAE), based on patterns of cell loss in specific hippocampal subfields. Type 1 HS is most frequent and has the most favorable outcome after epilepsy surgery. We hypothesized that volume loss in specific hippocampal subfields determined by automated volumetry of high resolution MRI would correspond to cell loss in histological reports. In a group of well characterized patients with drug resistant TLE (N = 26 patients, 14 with right-sided focus, 12 with left-sided focus) volumes of the right and left hippocampus and the hippocampal subfields CA1, CA2 + 3, CA4 and dentate gyrus (DG) were estimated automatically using FreeSurfer version 6.0 from high-resolution cerebral MRI and compared to a large group of healthy controls (N = 121). HS subtype classification was attempted based on histological reports. Volumes of the whole hippocampus and all investigated hippocampal subfields (CA1, CA2 + 3, CA4 and DG) were significantly lower on the ipsilateral compared the contralateral side (p < 0.001) and compared to the healthy controls (p < 0.001). Conversely, whole hippocampal and hippocampal subfield volumes were not significantly different from healthy control values on the contralateral side. In 12 of 20 patients the pattern of hippocampal volume loss in specific subfields was in accordance with HS types from histology. The highest overlap between automated MRI and histology was achieved for type 1 HS (in 10 of 12 cases). The automated volumetry of hippocampal subfields, based on high resolution MRI, may have the potential to predict the pattern of cell loss in hippocampal sclerosis before operation.

Identifiants

pubmed: 34175792
pii: S0920-1211(21)00145-5
doi: 10.1016/j.eplepsyres.2021.106692
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106692

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Franz Riederer (F)

Department of Neurology, Clinic Hietzing & Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria; Faculty of Medicine, University of Zurich, Zurich, Switzerland. Electronic address: franz.riederer@uzh.ch.

René Seiger (R)

Neuroimaging Labs, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.

Rupert Lanzenberger (R)

Neuroimaging Labs, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.

Ekateriana Pataraia (E)

Department of Neurology, Medical University of Vienna, Vienna, Austria.

Gregor Kasprian (G)

Department of Radiology and Nuclear Medicine, Medical University of Vienna, Vienna, Austria.

Lars Michels (L)

Clinic of Neuroradiology, University Hospital Zurich, Zurich, Switzerland.

Spyros Kollias (S)

Clinic of Neuroradiology, University Hospital Zurich, Zurich, Switzerland.

Thomas Czech (T)

Department of Neurosurgery, Medical University of Vienna, Vienna, Austria.

Johannes A Hainfellner (JA)

Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Austria.

Johannes Beiersdorf (J)

Department of Neurology, Clinic Hietzing & Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria.

Christoph Baumgartner (C)

Department of Neurology, Clinic Hietzing & Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria; Medical Faculty, Sigmund Freud Private University, Vienna, Austria.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH