BACKGROUND: Stereoelectroencephalography (SEEG) methodology, originally developed by Talairach and Bancaud, is progressively gaining popularity for the presurgical invasive evaluation of drug-resistant epilepsies. OBJECTIVE: To describe recent SEEG methodological implementations carried out in our center, to evaluate safety, and to analyze in vivo application accuracy in a consecutive series of 500 procedures with a total of 6496 implanted electrodes. METHODS: Four hundred nineteen procedures were performed with the traditional 2-step surgical workflow, which was modified for the subsequent 81 procedures. The new workflow entailed acquisition of brain 3-dimensional angiography and magnetic resonance imaging in frameless and markerless conditions, advanced multimodal planning, and robot-assisted implantation. Quantitative analysis for in vivo entry point and target point localization error was performed on a sub--data set of 118 procedures (1567 electrodes). RESULTS: The methodology allowed successful implantation in all cases. Major complication rate was 12 of 500 (2.4%), including 1 death for indirect morbidity. Median entry point localization error was 1.43 mm (interquartile range, 0.91-2.21 mm) with the traditional workflow and 0.78 mm (interquartile range, 0.49-1.08 mm) with the new one (P < 2.2 × 10). Median target point localization errors were 2.69 mm (interquartile range, 1.89-3.67 mm) and 1.77 mm (interquartile range, 1.25-2.51 mm; P < 2.2 × 10), respectively. CONCLUSION: SEEG is a safe and accurate procedure for the invasive assessment of the epileptogenic zone. Traditional Talairach methodology, implemented by multimodal planning and robot-assisted surgery, allows direct electrical recording from superficial and deep-seated brain structures, providing essential information in the most complex cases of drug-resistant epilepsy.
BACKGROUND: Stereoelectroencephalography (SEEG) methodology, originally developed by Talairach and Bancaud, is progressively gaining popularity for the presurgical invasive evaluation of drug-resistant epilepsies. OBJECTIVE: To describe recent SEEG methodological implementations carried out in our center, to evaluate safety, and to analyze in vivo application accuracy in a consecutive series of 500 procedures with a total of 6496 implanted electrodes. METHODS: Four hundred nineteen procedures were performed with the traditional 2-step surgical workflow, which was modified for the subsequent 81 procedures. The new workflow entailed acquisition of brain 3-dimensional angiography and magnetic resonance imaging in frameless and markerless conditions, advanced multimodal planning, and robot-assisted implantation. Quantitative analysis for in vivo entry point and target point localization error was performed on a sub--data set of 118 procedures (1567 electrodes). RESULTS: The methodology allowed successful implantation in all cases. Major complication rate was 12 of 500 (2.4%), including 1 death for indirect morbidity. Median entry point localization error was 1.43 mm (interquartile range, 0.91-2.21 mm) with the traditional workflow and 0.78 mm (interquartile range, 0.49-1.08 mm) with the new one (P < 2.2 × 10). Median target point localization errors were 2.69 mm (interquartile range, 1.89-3.67 mm) and 1.77 mm (interquartile range, 1.25-2.51 mm; P < 2.2 × 10), respectively. CONCLUSION: SEEG is a safe and accurate procedure for the invasive assessment of the epileptogenic zone. Traditional Talairach methodology, implemented by multimodal planning and robot-assisted surgery, allows direct electrical recording from superficial and deep-seated brain structures, providing essential information in the most complex cases of drug-resistant epilepsy.
Authors: Vejay N Vakharia; Rachel Sparks; Aidan G O'Keeffe; Roman Rodionov; Anna Miserocchi; Andrew McEvoy; Sebastien Ourselin; John Duncan Journal: Epilepsia Date: 2017-03-06 Impact factor: 5.864
Authors: Davide Scorza; Elena De Momi; Lisa Plaino; Gaetano Amoroso; Gabriele Arnulfo; Massimo Narizzano; Luis Kabongo; Francesco Cardinale Journal: Int J Comput Assist Radiol Surg Date: 2017-07-14 Impact factor: 2.924
Authors: Vejay N Vakharia; Rachel Sparks; Roman Rodionov; Sjoerd B Vos; Christian Dorfer; Jonathan Miller; Daniel Nilsson; Martin Tisdall; Stefan Wolfsberger; Andrew W McEvoy; Anna Miserocchi; Gavin P Winston; Aidan G O'Keeffe; Sebastien Ourselin; John S Duncan Journal: J Neurosurg Date: 2018-04-01 Impact factor: 5.115
Authors: Beatrice Barra; Elena De Momi; Giancarlo Ferrigno; Guglielmo Pero; Francesco Cardinale; Giuseppe Baselli Journal: J Med Imaging (Bellingham) Date: 2016-11-29
Authors: E De Momi; G Ferrigno; G Bosoni; P Bassanini; P Blasi; G Casaceli; D Fuschillo; L Castana; M Cossu; G Lo Russo; F Cardinale Journal: Int J Comput Assist Radiol Surg Date: 2015-07-17 Impact factor: 2.924
Authors: E De Momi; C Caborni; F Cardinale; G Casaceli; L Castana; M Cossu; R Mai; F Gozzo; S Francione; L Tassi; G Lo Russo; L Antiga; G Ferrigno Journal: Int J Comput Assist Radiol Surg Date: 2014-04-20 Impact factor: 2.924
Authors: Mark R Bower; Matt Stead; Jamie J Van Gompel; Regina S Bower; Vlastimil Sulc; Samuel J Asirvatham; Gregory A Worrell Journal: J Neurosci Methods Date: 2013-01-08 Impact factor: 2.390