Preoperative Resectability Estimates of Nonenhancing Glioma by Neurosurgeons and a Resection Probability Map.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
01 08 2019
Historique:
received: 23 03 2018
accepted: 21 08 2018
pubmed: 14 11 2018
medline: 9 4 2020
entrez: 14 11 2018
Statut: ppublish

Résumé

Preoperative interpretation of resectability of diffuse nonenhancing glioma is primarily based on individual surgical expertise. To compare the accuracy and precision between observed resections and preoperative estimates of neurosurgeons and a resection probability map (RPM). We hypothesize that the RPM estimates is as good as senior neurosurgeons. A total of 234 consecutive patients were included from 2 centers, who had resective surgery with functional mapping between 2006 and 2012 for a supra-tentorial nonenhancing glioma. Extent of resection (EOR) and residual tumor volume (RTV) were segmented and an RPM was constructed in standard brain space. Three junior and three senior neurosurgeons estimated EOR and RTV, blinded for postoperative results. We determined the agreement between the estimates and calculated the diagnostic accuracy of the neurosurgeons and the RPM to predict the observed resections. Preoperative estimates of resection results by junior and senior neurosurgeons were significantly biased towards overestimation of EOR (4.2% and 11.2%) and underestimation of RTV (4.3 and 9.0 mL), whereas estimates of the RPM were unbiased (-2.6% and -.2 mL, respectively). The limits of agreement were wide for neurosurgeons and for the RPM. The RPM was significantly more accurate in identifying patients in whom an EOR >40% was observed than neurosurgeons. Neurosurgeons estimate preoperative resectability before surgery of a nonenhancing glioma rather accurate-with a small bias-and imprecise-with wide limits of agreement. An RPM provides unbiased resectability estimates, which can be useful for surgical decision-making, planning, and education.

Sections du résumé

BACKGROUND
Preoperative interpretation of resectability of diffuse nonenhancing glioma is primarily based on individual surgical expertise.
OBJECTIVE
To compare the accuracy and precision between observed resections and preoperative estimates of neurosurgeons and a resection probability map (RPM). We hypothesize that the RPM estimates is as good as senior neurosurgeons.
METHODS
A total of 234 consecutive patients were included from 2 centers, who had resective surgery with functional mapping between 2006 and 2012 for a supra-tentorial nonenhancing glioma. Extent of resection (EOR) and residual tumor volume (RTV) were segmented and an RPM was constructed in standard brain space. Three junior and three senior neurosurgeons estimated EOR and RTV, blinded for postoperative results. We determined the agreement between the estimates and calculated the diagnostic accuracy of the neurosurgeons and the RPM to predict the observed resections.
RESULTS
Preoperative estimates of resection results by junior and senior neurosurgeons were significantly biased towards overestimation of EOR (4.2% and 11.2%) and underestimation of RTV (4.3 and 9.0 mL), whereas estimates of the RPM were unbiased (-2.6% and -.2 mL, respectively). The limits of agreement were wide for neurosurgeons and for the RPM. The RPM was significantly more accurate in identifying patients in whom an EOR >40% was observed than neurosurgeons.
CONCLUSION
Neurosurgeons estimate preoperative resectability before surgery of a nonenhancing glioma rather accurate-with a small bias-and imprecise-with wide limits of agreement. An RPM provides unbiased resectability estimates, which can be useful for surgical decision-making, planning, and education.

Identifiants

pubmed: 30423155
pii: 5178544
doi: 10.1093/neuros/nyy487
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

E304-E313

Informations de copyright

Copyright © 2018 by the Congress of Neurological Surgeons.

Auteurs

Eef J Hendriks (EJ)

Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.

Sander Idema (S)

Neurosurgical Center Amsterdam, VU University Medical Center and Academic Medical Center, Amsterdam, The Netherlands.

Shawn L Hervey-Jumper (SL)

Department of Neurological Surgery, University of California, San Francisco, San Francisco, California.

Anne-Laure Bernat (AL)

Department of Neurosurgery, Hôpital de la Pitié-Salpêtrière, Paris, France.

Aeilko H Zwinderman (AH)

Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands.

Frederik Barkhof (F)

Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Institutes of Neurology & Healthcare Engineering, UCL, London, UK.

W Peter Vandertop (WP)

Neurosurgical Center Amsterdam, VU University Medical Center and Academic Medical Center, Amsterdam, The Netherlands.

Emmanuel Mandonnet (E)

Department of Neurosurgery, Hôpital de la Pitié-Salpêtrière, Paris, France.

Hugues Duffau (H)

Department of Neurosurgery, Hôpital Gui de Chauliac, Centre Hospitalier Universitaire Montpellier, Montpellier, France.

Mitchel S Berger (MS)

Department of Neurological Surgery, University of California, San Francisco, San Francisco, California.

Philip C De Witt Hamer (PC)

Neurosurgical Center Amsterdam, VU University Medical Center and Academic Medical Center, Amsterdam, The Netherlands.

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Classifications MeSH