Clinical Benefits of Combining Different Visualization Modalities in Neurosurgery.

CONVIVO KINEVO YELLOW 560 nm brain tumors confocal endomicroscopy fluorescein sodium fluorescence-guided surgery tumor segmentation

Journal

Frontiers in surgery
ISSN: 2296-875X
Titre abrégé: Front Surg
Pays: Switzerland
ID NLM: 101645127

Informations de publication

Date de publication:
2019
Historique:
received: 29 12 2018
accepted: 04 09 2019
entrez: 22 10 2019
pubmed: 22 10 2019
medline: 22 10 2019
Statut: epublish

Résumé

The prevailing philosophy in oncologic neurosurgery, has shifted from maximally invasive resection to the preservation of neurologic function. The foundation of safe surgery is the multifaceted visualization of the target region and the surrounding eloquent tissue. Recent advancements in pre-operative and intraoperative visualization modalities have changed the face of modern neurosurgery. Metabolic and functional data can be integrated into intraoperative guidance software, and fluorescent dyes under dedicated filters can potentially visualize patterns of blood flow and better define tumor borders or isolated tumor foci. High definition endoscopes enable the depiction of tiny vessels and tumor extension to the ventricles or skull base. Fluorescein sodium-based confocal endomicroscopy, which is under scientific evaluation, may further enhance the neurosurgical armamentarium. We aim to present our institutional workup of combining different neuroimaging modalities for surgical neuro-oncological procedures. This institutional algorithm (IA) was the basis of the recent publication by Haj et al. describing outcome and survival data of consecutive patients with high grade glioma (HGG) before and after the introduction of our Neuro-Oncology Center.

Identifiants

pubmed: 31632980
doi: 10.3389/fsurg.2019.00056
pmc: PMC6781653
doi:

Types de publication

Journal Article

Langues

eng

Pagination

56

Informations de copyright

Copyright © 2019 Schebesch, Rosengarth, Brawanski, Proescholdt, Wendl, Höhne, Ott, Lamecker and Doenitz.

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Auteurs

Karl-Michael Schebesch (KM)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Katharina Rosengarth (K)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Alexander Brawanski (A)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Martin Proescholdt (M)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Christina Wendl (C)

Department of Radiology, University Medical Center Regensburg, Regensburg, Germany.

Julius Höhne (J)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Christian Ott (C)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Hans Lamecker (H)

1000shapes GmbH, Berlin, Germany.

Christian Doenitz (C)

Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.

Classifications MeSH