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Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow

Multimodal image integration (MMII) is a promising tool to help delineate the epileptogenic zone (EZ) in patients with medically intractable focal epilepsies undergoing presurgical evaluation. We report here the detailed methodology of MMII and an overview of the utility of MMII at the Cleveland Cli...

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Autores principales: Jin, Liri, Choi, Joon Yul, Bulacio, Juan, Alexopoulos, Andreas V., Burgess, Richard C., Murakami, Hiroatsu, Bingaman, William, Najm, Imad, Wang, Zhong Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372749/
https://www.ncbi.nlm.nih.gov/pubmed/34421808
http://dx.doi.org/10.3389/fneur.2021.709400
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author Jin, Liri
Choi, Joon Yul
Bulacio, Juan
Alexopoulos, Andreas V.
Burgess, Richard C.
Murakami, Hiroatsu
Bingaman, William
Najm, Imad
Wang, Zhong Irene
author_facet Jin, Liri
Choi, Joon Yul
Bulacio, Juan
Alexopoulos, Andreas V.
Burgess, Richard C.
Murakami, Hiroatsu
Bingaman, William
Najm, Imad
Wang, Zhong Irene
author_sort Jin, Liri
collection PubMed
description Multimodal image integration (MMII) is a promising tool to help delineate the epileptogenic zone (EZ) in patients with medically intractable focal epilepsies undergoing presurgical evaluation. We report here the detailed methodology of MMII and an overview of the utility of MMII at the Cleveland Clinic Epilepsy Center from 2014 to 2018, exemplified by illustrative cases. The image integration was performed using the Curry platform (Compumedics Neuroscan(™), Charlotte, NC, USA), including all available diagnostic modalities such as Magnetic resonance imaging (MRI), Positron Emission Tomography (PET), single-photon emission computed tomography (SPECT) and Magnetoencephalography (MEG), with additional capability of trajectory planning for intracranial EEG (ICEEG), particularly stereo-EEG (SEEG), as well as surgical resection planning. In the 5-year time span, 467 patients underwent MMII; of them, 98 patients (21%) had a history of prior neurosurgery and recurring seizures. Of the 467 patients, 425 patients underwent ICEEG implantation with further CT co-registration to identify the electrode locations. A total of 351 patients eventually underwent surgery after MMII, including 197 patients (56%) with non-lesional MRI and 223 patients (64%) with extra-temporal lobe epilepsy. Among 269 patients with 1-year post-operative follow up, 134 patients (50%) had remained completely seizure-free. The most common histopathological finding is focal cortical dysplasia. Our study illustrates the usefulness of MMII to enhance SEEG electrode trajectory planning, assist non-invasive/invasive data interpretation, plan resection strategy, and re-evaluate surgical failures. Information presented by MMII is essential to the understanding of the anatomo-functional-electro-clinical correlations in individual cases, which leads to the ultimate success of presurgical evaluation of patients with medically intractable focal epilepsies.
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spelling pubmed-83727492021-08-19 Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow Jin, Liri Choi, Joon Yul Bulacio, Juan Alexopoulos, Andreas V. Burgess, Richard C. Murakami, Hiroatsu Bingaman, William Najm, Imad Wang, Zhong Irene Front Neurol Neurology Multimodal image integration (MMII) is a promising tool to help delineate the epileptogenic zone (EZ) in patients with medically intractable focal epilepsies undergoing presurgical evaluation. We report here the detailed methodology of MMII and an overview of the utility of MMII at the Cleveland Clinic Epilepsy Center from 2014 to 2018, exemplified by illustrative cases. The image integration was performed using the Curry platform (Compumedics Neuroscan(™), Charlotte, NC, USA), including all available diagnostic modalities such as Magnetic resonance imaging (MRI), Positron Emission Tomography (PET), single-photon emission computed tomography (SPECT) and Magnetoencephalography (MEG), with additional capability of trajectory planning for intracranial EEG (ICEEG), particularly stereo-EEG (SEEG), as well as surgical resection planning. In the 5-year time span, 467 patients underwent MMII; of them, 98 patients (21%) had a history of prior neurosurgery and recurring seizures. Of the 467 patients, 425 patients underwent ICEEG implantation with further CT co-registration to identify the electrode locations. A total of 351 patients eventually underwent surgery after MMII, including 197 patients (56%) with non-lesional MRI and 223 patients (64%) with extra-temporal lobe epilepsy. Among 269 patients with 1-year post-operative follow up, 134 patients (50%) had remained completely seizure-free. The most common histopathological finding is focal cortical dysplasia. Our study illustrates the usefulness of MMII to enhance SEEG electrode trajectory planning, assist non-invasive/invasive data interpretation, plan resection strategy, and re-evaluate surgical failures. Information presented by MMII is essential to the understanding of the anatomo-functional-electro-clinical correlations in individual cases, which leads to the ultimate success of presurgical evaluation of patients with medically intractable focal epilepsies. Frontiers Media S.A. 2021-08-04 /pmc/articles/PMC8372749/ /pubmed/34421808 http://dx.doi.org/10.3389/fneur.2021.709400 Text en Copyright © 2021 Jin, Choi, Bulacio, Alexopoulos, Burgess, Murakami, Bingaman, Najm and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Jin, Liri
Choi, Joon Yul
Bulacio, Juan
Alexopoulos, Andreas V.
Burgess, Richard C.
Murakami, Hiroatsu
Bingaman, William
Najm, Imad
Wang, Zhong Irene
Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title_full Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title_fullStr Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title_full_unstemmed Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title_short Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow
title_sort multimodal image integration for epilepsy presurgical evaluation: a clinical workflow
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372749/
https://www.ncbi.nlm.nih.gov/pubmed/34421808
http://dx.doi.org/10.3389/fneur.2021.709400
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