Rapid Passive Gamma Mapping as an Adjunct to Electrical Stimulation Mapping for Functional Localization in Resection of Primary Brain Neoplasms.

Awake Electrocorticography Gamma-band Intraoperative Mapping Passive Tumor

Journal

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

Informations de publication

Date de publication:
21 Oct 2023
Historique:
received: 05 07 2023
revised: 17 10 2023
accepted: 18 10 2023
pubmed: 24 10 2023
medline: 24 10 2023
entrez: 23 10 2023
Statut: aheadofprint

Résumé

We examined the utility of passive high gamma mapping (HGM) as an adjunct to conventional awake brain mapping during glioma resection. We compared functional and survival outcomes before and after implementing intraoperative HGM. This was a retrospective cohort study of 75 patients who underwent a first-time, awake craniotomy for glioma resection. Patients were stratified by whether their operation occurred before or after the implementation of a U.S. Food and Drug Administration-approved high-gamma mapping tool in July 2017. The preimplementation and postimplementation cohorts included 28 and 47 patients, respectively. Median intraoperative time (261 vs. 261 minutes, P = 0.250) and extent of resection (97.14% vs. 98.19%, P = 0.481) were comparable between cohorts. Median Karnofsky performance status at initial follow-up was similar between cohorts (P = 0.650). Multivariable Cox regression models demonstrated an adjusted hazard ratio for overall survival of 0.10 (95% confidence interval: 0.02-0.43, P = 0.002) for the postimplementation cohort relative to the preimplementation cohort. Progression-free survival adjusted for insular involvement showed an adjusted hazard ratio of 1.00 (95% confidence interval: 0.49-2.06, P = 0.999) following HGM implementation. Falling short of statistical significance, prevalence of intraoperative seizures and/or afterdischarges decreased after HGM implementation as well (12.7% vs. 25%, P = 0.150). Our results tentatively indicate that passive HGM is a safe and potentially useful adjunct to electrical stimulation mapping for awake cortical mapping, conferring at least comparable functional and survival outcomes with a nonsignificant lower rate of intraoperative epileptiform events. Considering the limitations of our study design and patient cohort, further investigation is needed to better identify optimal use cases for HGM.

Identifiants

pubmed: 37871691
pii: S1878-8750(23)01491-2
doi: 10.1016/j.wneu.2023.10.085
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Hao Tan (H)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Joseph G Nugent (JG)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Adeline Fecker (A)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Emma A Richie (EA)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Kayla A Maanum (KA)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Caleb Nerison (C)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Stephen G Bowden (SG)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.

Ilker Yaylali (I)

Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.

Seunggu J Han (SJ)

Department of Neurosurgery, Stanford Medicine, Palo Alto, California, USA.

Dana D Colgan (DD)

Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.

Barry Oken (B)

Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.

Ahmed M Raslan (AM)

Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA. Electronic address: raslana@ohsu.edu.

Classifications MeSH