Toward a systematic grading for the selection of patients to undergo awake surgery: identifying suitable predictor variables.

awake craniotomy glioma language eloquence multinomial logistic regression preoperative language status

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2024
Historique:
received: 03 01 2024
accepted: 11 04 2024
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: epublish

Résumé

Awake craniotomy is the standard of care for treating language eloquent gliomas. However, depending on preoperative functionality, it is not feasible in each patient and selection criteria are highly heterogeneous. Thus, this study aimed to identify broadly applicable predictor variables allowing for a more systematic and objective patient selection. We performed post-hoc analyses of preoperative language status, patient and tumor characteristics including language eloquence of 96 glioma patients treated in a single neurosurgical center between 05/2018 and 01/2021. Multinomial logistic regression and stepwise variable selection were applied to identify significant predictors of awake surgery feasibility. Stepwise backward selection confirmed that a higher number of paraphasias, lower age, and high language eloquence level were suitable indicators for an awake surgery in our cohort. Subsequent descriptive and ROC-analyses indicated a cut-off at ≤54 years and a language eloquence level of at least 6 for awake surgeries, which require further validation. A high language eloquence, lower age, preexisting semantic and phonological aphasic symptoms have shown to be suitable predictors. The combination of these factors may act as a basis for a systematic and standardized grading of patients' suitability for an awake craniotomy which is easily integrable into the preoperative workflow across neurosurgical centers.

Sections du résumé

Background UNASSIGNED
Awake craniotomy is the standard of care for treating language eloquent gliomas. However, depending on preoperative functionality, it is not feasible in each patient and selection criteria are highly heterogeneous. Thus, this study aimed to identify broadly applicable predictor variables allowing for a more systematic and objective patient selection.
Methods UNASSIGNED
We performed post-hoc analyses of preoperative language status, patient and tumor characteristics including language eloquence of 96 glioma patients treated in a single neurosurgical center between 05/2018 and 01/2021. Multinomial logistic regression and stepwise variable selection were applied to identify significant predictors of awake surgery feasibility.
Results UNASSIGNED
Stepwise backward selection confirmed that a higher number of paraphasias, lower age, and high language eloquence level were suitable indicators for an awake surgery in our cohort. Subsequent descriptive and ROC-analyses indicated a cut-off at ≤54 years and a language eloquence level of at least 6 for awake surgeries, which require further validation. A high language eloquence, lower age, preexisting semantic and phonological aphasic symptoms have shown to be suitable predictors.
Conclusion UNASSIGNED
The combination of these factors may act as a basis for a systematic and standardized grading of patients' suitability for an awake craniotomy which is easily integrable into the preoperative workflow across neurosurgical centers.

Identifiants

pubmed: 38756845
doi: 10.3389/fnhum.2024.1365215
pmc: PMC11096515
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1365215

Informations de copyright

Copyright © 2024 Kram, Neu, Schroeder, Wiestler, Meyer, Krieg and Ille.

Déclaration de conflit d'intérêts

BM received honoraria, consulting fees, and research grants from Medtronic (Meerbusch, Germany), Icotec AG (Altstätten, Switzerland), Nexstim Plc (Helsinki, Finland), and Relievant Medsystems Inc., (Sunnyvale, CA, USA), honoraria, and research grants from Ulrich Medical (Ulm, Germany), honoraria and consulting fees from Spineart Deutschland GmbH (Frankfurt, Germany) and DePuy Synthes (West Chester, PA, USA), and royalties from Spineart Deutschland GmbH (Frankfurt, Germany). SK is consultant for Ulrich Medical (Ulm, Germany), and Need Inc. (Santa Monica, CA, USA), and received honoraria from Nexstim Plc (Helsinki, Finland), Spineart Deutschland GmbH (Frankfurt, Germany), Medtronic (Meerbusch, Germany), and Carl Zeiss Meditec (Oberkochen, Germany). SK and BM received research grants and are consultants for Brainlab AG (Munich, Germany). SI is consultant for Brainlab AG (Munich, Germany) and received honoraria and consulting fees from Icotec AG (Altstätten, Switzerland), Carl Zeiss Meditec (Oberkochen, Germany), and Nexstim Plc (Helsinki, Finland). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Leonie Kram (L)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany.

Beate Neu (B)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Axel Schroeder (A)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Benedikt Wiestler (B)

Section of Diagnostic and Interventional Neuroradiology, Department of Radiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Bernhard Meyer (B)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Sandro M Krieg (SM)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Sebastian Ille (S)

Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.

Classifications MeSH