Literature DB >> 23055516

Trends in presurgical evaluation and surgical treatment of epilepsy at one centre from 1988-2009.

Christian G Bien1, Anna L Raabe, Johannes Schramm, Albert Becker, Horst Urbach, Christian E Elger.   

Abstract

BACKGROUND: Presurgical epilepsy diagnostics and surgical treatment have become standard procedures of neurology. Here, we report on presurgical patients grouped according to their underlying pathology by giving results of presurgical evaluation, surgical therapy and long-term follow-up between 1989-2009 and describe trends over this period. PATIENTS AND METHODS: Data of prospectively documented presurgical patients were retrospectively analysed. Trends were evaluated by a year-by-year analysis.
RESULTS: 2684 presurgical patients underwent presurgical work-up, 1721 of whom (64.1%) went on to resective surgery. The largest presurgical/surgical group was mediotemporal lobe epilepsy with hippocampal sclerosis (29.5%/35.4%). Of all operated patients, 1160 (67.4%) had a follow-up of ≥ 2 years. A total of 586 were continuously seizure-free without auras (50.5%; benign tumours: 61.0%; focal cortical dysplasia: 57.6%; mediotemporal lobe epilepsy with hippocampal sclerosis: 49.4%; non-lesional: 27.6%). Based on the number of the presurgically studied patients, we calculated as a novel measure of the effect of a presurgical/surgical programme an 'intention-to treat seizure-freedom' rate of 32.4%. Over time, the number of patients undergoing evaluation, but also of those not suitable or agreeable for invasive measures increased. Annual numbers of resective procedures remained stable. Average epilepsy duration of patients admitted for presurgical assessment increased. The proportion of patients with benign tumours declined. Intracranial studies and MRI-histopathology discrepancies decreased. Seizure-freedom rates remained constant.
CONCLUSIONS: Epilepsy surgery is highly effective, especially in patients with clearly defined focal pathologies. At this specialised centre, there is a trend towards growing numbers of difficult patients and increasing epilepsy duration prior to referral for presurgical assessment.

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Year:  2012        PMID: 23055516     DOI: 10.1136/jnnp-2011-301763

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  25 in total

1.  Morphometric MRI Analysis: Improved Detection of Focal Cortical Dysplasia Using the MP2RAGE Sequence.

Authors:  T Demerath; L Rubensdörfer; R Schwarzwald; A Schulze-Bonhage; D-M Altenmüller; C Kaller; T Kober; H-J Huppertz; H Urbach
Journal:  AJNR Am J Neuroradiol       Date:  2020-06-04       Impact factor: 3.825

2.  Is the type and extent of hippocampal sclerosis measurable on high-resolution MRI?

Authors:  H Urbach; H J Huppertz; R Schwarzwald; A J Becker; J Wagner; M Delsous Bahri; H J Tschampa
Journal:  Neuroradiology       Date:  2014-06-28       Impact factor: 2.804

3.  Inspecting Resecting: Examining 20-Year Trends in Epilepsy Surgery.

Authors:  David Spencer
Journal:  Epilepsy Curr       Date:  2016 Jan-Feb       Impact factor: 7.500

4.  Thalamic interictal epileptiform discharges in deep brain stimulated epilepsy patients.

Authors:  Catherine M Sweeney-Reed; Harim Lee; Stefan Rampp; Tino Zaehle; Lars Buentjen; Juergen Voges; Martin Holtkamp; Hermann Hinrichs; Hans-Jochen Heinze; Friedhelm C Schmitt
Journal:  J Neurol       Date:  2016-08-02       Impact factor: 4.849

Review 5.  Epidemiologist's view: Addressing the epilepsy surgery treatment gap with minimally-invasive techniques.

Authors:  Nicholas K Schiltz; Guadalupe Fernandez-Baca Vaca
Journal:  Epilepsy Res       Date:  2018-02-01       Impact factor: 3.045

Review 6.  Presurgical MR Imaging in Epilepsy.

Authors:  H Urbach; H Mast; K Egger; I Mader
Journal:  Clin Neuroradiol       Date:  2015-04-08       Impact factor: 3.649

7.  Histopathology of ~10,000 (Yes, That's TEN THOUSAND) Brain Tissue Samples From Epilepsy Surgery.

Authors:  Jong Woo Lee
Journal:  Epilepsy Curr       Date:  2018 Mar-Apr       Impact factor: 7.500

8.  Why is there still doubt to cut it out?

Authors:  J Engel
Journal:  Epilepsy Curr       Date:  2013-09       Impact factor: 7.500

9.  Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

Authors:  Brent C Munsell; Chong-Yaw Wee; Simon S Keller; Bernd Weber; Christian Elger; Laura Angelica Tomaz da Silva; Travis Nesland; Martin Styner; Dinggang Shen; Leonardo Bonilha
Journal:  Neuroimage       Date:  2015-06-06       Impact factor: 6.556

10.  In vivo mapping of hippocampal subfields in mesial temporal lobe epilepsy: relation to histopathology.

Authors:  Jan-Christoph Schoene-Bake; Simon S Keller; Pitt Niehusmann; Elisa Volmering; Christian Elger; Michael Deppe; Bernd Weber
Journal:  Hum Brain Mapp       Date:  2014-03-17       Impact factor: 5.038

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