Neurophysiology-Guided Laser Interstitial Thermal Therapy: A Synergistic Approach For Motor Function Preservation. Technical Note.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
12 2022
Historique:
received: 16 08 2022
revised: 26 09 2022
accepted: 27 09 2022
pubmed: 7 10 2022
medline: 21 12 2022
entrez: 6 10 2022
Statut: ppublish

Résumé

Laser interstitial thermal therapy (LITT) is a minimally invasive ablative technique with specific indications for neuro-oncology, especially in the case of lesions in eloquent areas. Even being performed through a small catheter under stereotactic conditions, the risk of damaging vital structures such as white matter tracts or cortical eloquent areas is not negligible. The mechanism of damage can be related to catheter insertion or to excessive laser ablation. An accurate preoperative workup, aimed at locating the eloquent structures, can be combined with a real-time intraoperative neurophysiologic monitoring to reduce surgical morbidity while maximizing the efficacy of LITT. We developed a synergistic approach for neurophysiology-guided LITT based on state-of-the-art technologies, namely, magnetoencephalography, diffusion tensor imaging, and intraoperative neurophysiologic monitoring. As a result, we improved the planning phase thanks to a more precise representation of functional structures that allows the simulation of different trajectories and the identification of the most suitable trajectory to treat the lesion while respecting the functional boundaries. Catheter insertion is conducted under continuous neurophysiologic feedback and the ablation phase is modeled on the functional boundaries identified by stimulation, allowing it to be extremely accurate. An integrated approached guided by neurophysiology is able to reduce the surgical morbidity even in a relatively accurate technique such as LITT. To the best of our knowledge, this represents the first report on this synergistic approach which could really impact the treatment of tumors in eloquent areas. Future studies are needed in the effort to implement this approach in functional or epilepsy neurosurgery as well.

Sections du résumé

BACKGROUND
Laser interstitial thermal therapy (LITT) is a minimally invasive ablative technique with specific indications for neuro-oncology, especially in the case of lesions in eloquent areas. Even being performed through a small catheter under stereotactic conditions, the risk of damaging vital structures such as white matter tracts or cortical eloquent areas is not negligible. The mechanism of damage can be related to catheter insertion or to excessive laser ablation. An accurate preoperative workup, aimed at locating the eloquent structures, can be combined with a real-time intraoperative neurophysiologic monitoring to reduce surgical morbidity while maximizing the efficacy of LITT.
METHODS
We developed a synergistic approach for neurophysiology-guided LITT based on state-of-the-art technologies, namely, magnetoencephalography, diffusion tensor imaging, and intraoperative neurophysiologic monitoring.
RESULTS
As a result, we improved the planning phase thanks to a more precise representation of functional structures that allows the simulation of different trajectories and the identification of the most suitable trajectory to treat the lesion while respecting the functional boundaries. Catheter insertion is conducted under continuous neurophysiologic feedback and the ablation phase is modeled on the functional boundaries identified by stimulation, allowing it to be extremely accurate.
CONCLUSIONS
An integrated approached guided by neurophysiology is able to reduce the surgical morbidity even in a relatively accurate technique such as LITT. To the best of our knowledge, this represents the first report on this synergistic approach which could really impact the treatment of tumors in eloquent areas. Future studies are needed in the effort to implement this approach in functional or epilepsy neurosurgery as well.

Identifiants

pubmed: 36202344
pii: S1878-8750(22)01397-3
doi: 10.1016/j.wneu.2022.09.121
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

165-172

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Massimiliano Del Bene (M)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Giovanni Carone (G)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Edoardo Porto (E)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Arianna Barbotti (A)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Giuseppe Messina (G)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Giovanni Tringali (G)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Davide Rossi (D)

Neurophysiopathology Unit, Diagnostic and Technology Department, Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy.

Paola Lanteri (P)

Neurophysiopathology Unit, Diagnostic and Technology Department, Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy.

Ramona Togni (R)

Neurophysiopathology Unit, Diagnostic and Technology Department, Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy.

Greta Demichelis (G)

Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Domenico Aquino (D)

Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Fabio Martino Doniselli (FM)

Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Francesco DiMeco (F)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurological Surgery, Johns Hopkins Medical School, Baltimore, Maryland, USA.

Cecilia Casali (C)

Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: cecilia.casali@istituto-besta.it.

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Classifications MeSH