Automated volumetry of hippocampal subfields in temporal lobe epilepsy.

Epilepsy Res

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.

Published: September 2021

Introduction: 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.

Material And Methods: 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.

Results: 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).

Conclusion: 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.

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http://dx.doi.org/10.1016/j.eplepsyres.2021.106692DOI Listing

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