Clinical Utility of Automated Electric Source Imaging in Presurgical Evaluation

NCT ID: NCT04218812

Last Updated: 2024-02-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

250 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-03-12

Study Completion Date

2024-12-31

Brief Summary

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Electrical source imaging is part of the presurgical evaluation of patients with drug-resistant focal epilepsy. The software packages that will be used in this study have Declaration of Conformity within the European Economic Area (CE mark) for this specific medical use. In spite of being part of the clinical standard, the evidence for the accuracy and clinical utility of these methods are derived from several smaller-scale and retrospective studies. The PROMAESIS study will provide solid evidence of the accuracy and clinical utility of automated ESI.

Detailed Description

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One-third of patients with epilepsy have seizures resistant to pharmacotherapy. There are many approaches developed to control these seizures, yet epilepsy surgery is still the most common method. The crucial part of epilepsy surgery is to assess the epileptic zone in order to render patients seizure free. However, accurate localization of the epileptic zone is often challenging due to the multimodal approach. This contains semiology, EEG (obtained during long term video-EEG monitoring), magnetic resonance Imaging (MRI), in addition to certain cases, positron emission computed tomography (PET), and single photon emission computed tomography (SPECT) and magnetoencephalography (MEG). At present, in one of the third patients, seizure remains after epilepsy surgery. Therefore a new preoperative method should be improved to assess the epileptic zone. Automated ESI is a post-processing novel method that estimates the location in the brain of the source of the recorded EEG signals.

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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Electroencephalography Refractory Epilepsy Brain Imaging Surgery

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

CROSSOVER

Evaluation of automated electrical source imaging(ESI) in epilepsy surgery.
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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No electrical source imaging (ESI)

The multidisciplinary teams take decisions based on considering all data without ESI

Group Type ACTIVE_COMPARATOR

No electrical source imaging (ESI)

Intervention Type DIAGNOSTIC_TEST

For all patients: MRI, semiology, visual interpretation of EEG, and in selected cases, PET, SPECT

Automated electrical source imaging (ESI)

Intervention Type DIAGNOSTIC_TEST

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

Group Type EXPERIMENTAL

No electrical source imaging (ESI)

Intervention Type DIAGNOSTIC_TEST

For all patients: MRI, semiology, visual interpretation of EEG, and in selected cases, PET, SPECT

Automated electrical source imaging (ESI)

Intervention Type DIAGNOSTIC_TEST

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

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients with drug resistant focal epilepsy, admitted to Epilepsy Monitoring Unit for presurgical evaluation, who are afterwards discussed at the multidisciplinary epilepsy surgery team meetings.

Exclusion Criteria

* Patients who did not have a seizure during the monitoring.
Minimum Eligible Age

1 Year

Maximum Eligible Age

99 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Filadelfia Epilepsy Hospital

OTHER

Sponsor Role collaborator

Hospital del Mar

OTHER

Sponsor Role collaborator

Brno Epilepsy Center

UNKNOWN

Sponsor Role collaborator

University Hospital Bucharest (Adult)

UNKNOWN

Sponsor Role collaborator

Freiburg University

UNKNOWN

Sponsor Role collaborator

Kepler University Clinic, Linz

UNKNOWN

Sponsor Role collaborator

Motol University Hospital

OTHER

Sponsor Role collaborator

Christian Doppler Klinik, Salzburg

UNKNOWN

Sponsor Role collaborator

Unidade Local de Saúde de Coimbra, EPE

OTHER

Sponsor Role collaborator

Valencia University Hospital

UNKNOWN

Sponsor Role collaborator

Carlo Besta Institure, Milano

UNKNOWN

Sponsor Role collaborator

Hospital de Santa Maria, Lisbon

UNKNOWN

Sponsor Role collaborator

Sándor Beniczky

OTHER

Sponsor Role lead

Responsible Party

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Sándor Beniczky

Professor

Responsibility Role SPONSOR_INVESTIGATOR

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

Site Status

Christian Doppler Klinik

Salzburg, , Austria

Site Status

Motol University Hospital

Prague, Czech Rebuplic, Czechia

Site Status

Brno Epilepsy Center

Brno, Czech Republic, Czechia

Site Status

Danish Epilepsy Center

Dianalund, , Denmark

Site Status

Freiburg University

Freiburg im Breisgau, Baden-Wurttemberg, Germany

Site Status

Carlo Besta Institure

Milan, , Italy

Site Status

Valencia University Hospital

Venice, , Italy

Site Status

Centro Hospitalar e Universitário de Coimbra

Coimbra, , Portugal

Site Status

Hospital de Santa Maria

Lisbon, , Portugal

Site Status

University Hospital Bucharest

Bucharest, , Romania

Site Status

Hospital del Mar

Barcelona, , Spain

Site Status

Countries

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Austria Czechia Denmark Germany Italy Portugal Romania Spain

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.

Reference Type BACKGROUND
PMID: 12477991 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 21975586 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23944234 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23899624 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 24702598 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26021550 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26818882 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27012361 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Other Identifiers

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PROMAESIS

Identifier Type: -

Identifier Source: org_study_id

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