Your browser doesn't support javascript.
loading
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment.
Sparks, Rachel; Zombori, Gergely; Rodionov, Roman; Nowell, Mark; Vos, Sjoerd B; Zuluaga, Maria A; Diehl, Beate; Wehner, Tim; Miserocchi, Anna; McEvoy, Andrew W; Duncan, John S; Ourselin, Sebastien.
Afiliación
  • Sparks R; Centre for Medical Image Computing, University College London, London, UK. rachel.sparks@ucl.ac.uk.
  • Zombori G; Centre for Medical Image Computing, University College London, London, UK.
  • Rodionov R; Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
  • Nowell M; National Hospital for Neurology and Neurosurgery (NHNN), London, UK.
  • Vos SB; Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
  • Zuluaga MA; National Hospital for Neurology and Neurosurgery (NHNN), London, UK.
  • Diehl B; Centre for Medical Image Computing, University College London, London, UK.
  • Wehner T; Centre for Medical Image Computing, University College London, London, UK.
  • Miserocchi A; Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
  • McEvoy AW; National Hospital for Neurology and Neurosurgery (NHNN), London, UK.
  • Duncan JS; Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
  • Ourselin S; National Hospital for Neurology and Neurosurgery (NHNN), London, UK.
Int J Comput Assist Radiol Surg ; 12(1): 123-136, 2017 Jan.
Article en En | MEDLINE | ID: mdl-27368184
PURPOSE: About one-third of individuals with focal epilepsy continue to have seizures despite optimal medical management. These patients are potentially curable with neurosurgery if the epileptogenic zone (EZ) can be identified and resected. Stereo-electroencephalography (SEEG) to record epileptic activity with intracranial depth electrodes may be required to identify the EZ. Each SEEG electrode trajectory, the path between the entry on the skull and the cerebral target, must be planned carefully to avoid trauma to blood vessels and conflicts between electrodes. In current clinical practice trajectories are determined manually, typically taking 2-3 h per patient (15 min per electrode). Manual planning (MP) aims to achieve an implantation plan with good coverage of the putative EZ, an optimal spatial resolution, and 3D distribution of electrodes. Computer-assisted planning tools can reduce planning time by quantifying trajectory suitability. METHODS: We present an automated multiple trajectory planning (MTP) algorithm to compute implantation plans. MTP uses dynamic programming to determine a set of plans. From this set a depth-first search algorithm finds a suitable plan. We compared our MTP algorithm to (a) MP and (b) an automated single trajectory planning (STP) algorithm on 18 patient plans containing 165 electrodes. RESULTS: MTP changed all 165 trajectories compared to MP. Changes resulted in lower risk (122), increased grey matter sampling (99), shorter length (92), and surgically preferred entry angles (113). MTP changed 42 % (69/165) trajectories compared to STP. Every plan had between 1 to 8 (median 3.5) trajectories changed to resolve electrode conflicts, resulting in surgically preferred plans. CONCLUSION: MTP is computationally efficient, determining implantation plans containing 7-12 electrodes within 1 min, compared to 2-3 h for MP.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Técnicas Estereotáxicas / Procedimientos Neuroquirúrgicos / Cirugía Asistida por Computador / Electrodos Implantados / Electroencefalografía / Epilepsia Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2017 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Técnicas Estereotáxicas / Procedimientos Neuroquirúrgicos / Cirugía Asistida por Computador / Electrodos Implantados / Electroencefalografía / Epilepsia Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2017 Tipo del documento: Article Pais de publicación: Alemania