Clinical Utility of Automated Electric Source Imaging in Presurgical Evaluation
NCT ID: NCT04218812
Last Updated: 2024-02-02
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
NA
250 participants
INTERVENTIONAL
2019-03-12
2024-12-31
Brief Summary
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Detailed Description
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The objective of this study is:
1. To determine the accuracy of ESI in localizing the epileptic focus.
2. To determine the clinical utility of ESI on clinical decision making
Methods:
Study design: a prospective diagnostic study in line with the Standards for Reporting Diagnostic Accuracy Studies (STARD).
EEG was recorded using the International Federation of Clinical Neurophysiology (IFCN) electrode array of 25 electrodes including six electrodes in the Inferior temporal chain (F9/10, T9/10, and P9/10) in addition to the 19 electrodes of the 10-20 system. Electrode impedance was kept below 5 kilo-ohm. EEG was recorded with a sampling frequency of 256 Hz. The investigators will make a video on how to place the electrodes, to make sure all centers follow a standardized method. Multidisciplinary epilepsy teams classify that in the first step you should keep the multidisciplinary team blinded to the source imaging data, and make the implantation plan without the ESI results. Then show the ESI, adjust the plan and note the changes.
The multidisciplinary teams in different centers will classify seizures into "types." A seizure type is a group of seizures that have stereotypical semiology and ictal EEG. Maximum 3 seizures are registered for per type. After Long Term Monitoring, they provide Epilog and Brain Electrical Source Analysis (BESA) teams with datasets including MRI and Long Term Monitoring recording for each patient. For uploading datasets, multicenter teams will use the platform developed by Epilog. Afterward, Epilog and BESA teams (blinded to patient information) will run the automated source imaging-both for interictal epileptiform discharge (EDs) and ictal signs. Both software packages have CE mark for ESI. Finally, the multidisciplinary teams take decisions in two steps:
I. Considering all data, except ESI II. Adding ESI to all other data.
At each step, the decisions are classified into one of the following categories:
1. Stop (operation not recommended)
2. Implantation of intracranial electrodes
3. Operation
In addition, the changes are classified into one of the following categories:
1. No change - but concordant with the decision.
2. No change - but discordant with decision.
3. Change from stop to implantation.
4. Change from implantation to stop.
5. Change in implantation plan: implantation of additional sites (besides the ones planned in step-1).
6. Change from implantation of operation.
7. Change from operation to implantation.
8. Other (specify in free text). If changes are not related to all analyses results, it will be noted, which method(s) triggered the change (SLORETA-interictal / ictal; Equivalent Current Dipole - interictal/ictal; CLARA interictal/ictal).
At one-year follow-up, the changes are categorized as useful or not useful. A change is defined useful as follows: (a) change from stop to Intracranial Recording: the Intracranial Recording localized the source; (b) change in implantation strategy: the electrode(s) implanted based on the source imaging identified the source; (c) change from implantation to operation: the patient became seizure-free.
Conditions
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Study Design
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NON_RANDOMIZED
CROSSOVER
DIAGNOSTIC
SINGLE
Study Groups
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No electrical source imaging (ESI)
The multidisciplinary teams take decisions based on considering all data without ESI
No electrical source imaging (ESI)
For all patients: MRI, semiology, visual interpretation of EEG, and in selected cases, PET, SPECT
Automated electrical source imaging (ESI)
The automated source imaging consists of 2 phases
1. Automated detection of EDs
2. Source imaging of each spike cluster and seizure onset epoch.
Automated Electrical source imaging (ESI)
The multidisciplinary teams take decisions based on considering all data with ESI
No electrical source imaging (ESI)
For all patients: MRI, semiology, visual interpretation of EEG, and in selected cases, PET, SPECT
Automated electrical source imaging (ESI)
The automated source imaging consists of 2 phases
1. Automated detection of EDs
2. Source imaging of each spike cluster and seizure onset epoch.
Interventions
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No electrical source imaging (ESI)
For all patients: MRI, semiology, visual interpretation of EEG, and in selected cases, PET, SPECT
Automated electrical source imaging (ESI)
The automated source imaging consists of 2 phases
1. Automated detection of EDs
2. Source imaging of each spike cluster and seizure onset epoch.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
1 Year
99 Years
ALL
No
Sponsors
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Filadelfia Epilepsy Hospital
OTHER
Hospital del Mar
OTHER
Brno Epilepsy Center
UNKNOWN
University Hospital Bucharest (Adult)
UNKNOWN
Freiburg University
UNKNOWN
Kepler University Clinic, Linz
UNKNOWN
Motol University Hospital
OTHER
Christian Doppler Klinik, Salzburg
UNKNOWN
Unidade Local de Saúde de Coimbra, EPE
OTHER
Valencia University Hospital
UNKNOWN
Carlo Besta Institure, Milano
UNKNOWN
Hospital de Santa Maria, Lisbon
UNKNOWN
Sándor Beniczky
OTHER
Responsible Party
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Sándor Beniczky
Professor
Principal Investigators
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Ricardo Rocamora, MD
Role: PRINCIPAL_INVESTIGATOR
Hospital del Mar
Martin Pali, MD
Role: PRINCIPAL_INVESTIGATOR
Brno Epilepsy Center
Ioana Mindruta, MD
Role: PRINCIPAL_INVESTIGATOR
University Hospital Bucharest (Adult)
Andreas Schulze Bonhage, MD
Role: PRINCIPAL_INVESTIGATOR
Freiburg University
Tim von Oertzen, MD
Role: PRINCIPAL_INVESTIGATOR
Kepler University Clinic, Linz
Vdym Gnatkovsky, MD
Role: PRINCIPAL_INVESTIGATOR
Carlo Besta Institure, Milano
Peter Marusic, MD
Role: PRINCIPAL_INVESTIGATOR
Motol University Hospital
Markus Leitinger, MD
Role: PRINCIPAL_INVESTIGATOR
Christian Doppler Klinik, Salzburg
Francisco Sales, MD
Role: PRINCIPAL_INVESTIGATOR
Unidade Local de Saúde de Coimbra, EPE
vicente villanueva, MD
Role: PRINCIPAL_INVESTIGATOR
Valencia University Hospital
Carla Bente, MD
Role: PRINCIPAL_INVESTIGATOR
Hospital de Santa Maria,
Locations
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Kepler University Clinic
Linz, , Austria
Christian Doppler Klinik
Salzburg, , Austria
Motol University Hospital
Prague, Czech Rebuplic, Czechia
Brno Epilepsy Center
Brno, Czech Republic, Czechia
Danish Epilepsy Center
Dianalund, , Denmark
Freiburg University
Freiburg im Breisgau, Baden-Wurttemberg, Germany
Carlo Besta Institure
Milan, , Italy
Valencia University Hospital
Venice, , Italy
Centro Hospitalar e Universitário de Coimbra
Coimbra, , Portugal
Hospital de Santa Maria
Lisbon, , Portugal
University Hospital Bucharest
Bucharest, , Romania
Hospital del Mar
Barcelona, , Spain
Countries
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References
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Boon P, D'Have M, Vanrumste B, Van Hoey G, Vonck K, Van Walleghem P, Caemaert J, Achten E, De Reuck J. Ictal source localization in presurgical patients with refractory epilepsy. J Clin Neurophysiol. 2002 Oct;19(5):461-8. doi: 10.1097/00004691-200210000-00009.
Brodbeck V, Spinelli L, Lascano AM, Wissmeier M, Vargas MI, Vulliemoz S, Pollo C, Schaller K, Michel CM, Seeck M. Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients. Brain. 2011 Oct;134(Pt 10):2887-97. doi: 10.1093/brain/awr243.
Beniczky S, Lantz G, Rosenzweig I, Akeson P, Pedersen B, Pinborg LH, Ziebell M, Jespersen B, Fuglsang-Frederiksen A. Source localization of rhythmic ictal EEG activity: a study of diagnostic accuracy following STARD criteria. Epilepsia. 2013 Oct;54(10):1743-52. doi: 10.1111/epi.12339. Epub 2013 Aug 14.
Megevand P, Spinelli L, Genetti M, Brodbeck V, Momjian S, Schaller K, Michel CM, Vulliemoz S, Seeck M. Electric source imaging of interictal activity accurately localises the seizure onset zone. J Neurol Neurosurg Psychiatry. 2014 Jan;85(1):38-43. doi: 10.1136/jnnp-2013-305515. Epub 2013 Jul 30.
Rikir E, Koessler L, Gavaret M, Bartolomei F, Colnat-Coulbois S, Vignal JP, Vespignani H, Ramantani G, Maillard LG. Electrical source imaging in cortical malformation-related epilepsy: a prospective EEG-SEEG concordance study. Epilepsia. 2014 Jun;55(6):918-32. doi: 10.1111/epi.12591. Epub 2014 Apr 4.
Lascano AM, Perneger T, Vulliemoz S, Spinelli L, Garibotto V, Korff CM, Vargas MI, Michel CM, Seeck M. Yield of MRI, high-density electric source imaging (HD-ESI), SPECT and PET in epilepsy surgery candidates. Clin Neurophysiol. 2016 Jan;127(1):150-155. doi: 10.1016/j.clinph.2015.03.025. Epub 2015 May 9.
Maliia MD, Meritam P, Scherg M, Fabricius M, Rubboli G, Mindruta I, Beniczky S. Epileptiform discharge propagation: Analyzing spikes from the onset to the peak. Clin Neurophysiol. 2016 Apr;127(4):2127-33. doi: 10.1016/j.clinph.2015.12.021. Epub 2016 Jan 12.
Mouthaan BE, Rados M, Barsi P, Boon P, Carmichael DW, Carrette E, Craiu D, Cross JH, Diehl B, Dimova P, Fabo D, Francione S, Gaskin V, Gil-Nagel A, Grigoreva E, Guekht A, Hirsch E, Hecimovic H, Helmstaedter C, Jung J, Kalviainen R, Kelemen A, Kimiskidis V, Kobulashvili T, Krsek P, Kuchukhidze G, Larsson PG, Leitinger M, Lossius MI, Luzin R, Malmgren K, Mameniskiene R, Marusic P, Metin B, Ozkara C, Pecina H, Quesada CM, Rugg-Gunn F, Rydenhag B, Ryvlin P, Scholly J, Seeck M, Staack AM, Steinhoff BJ, Stepanov V, Tarta-Arsene O, Trinka E, Uzan M, Vogt VL, Vos SB, Vulliemoz S, Huiskamp G, Leijten FS, Van Eijsden P, Braun KP; E-PILEPSY consortium. Current use of imaging and electromagnetic source localization procedures in epilepsy surgery centers across Europe. Epilepsia. 2016 May;57(5):770-6. doi: 10.1111/epi.13347. Epub 2016 Mar 25.
Provided Documents
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Document Type: Study Protocol
Other Identifiers
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PROMAESIS
Identifier Type: -
Identifier Source: org_study_id
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