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Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A
Histopathological diagnosis is the current standard for the classification of brain and spine tumors. Raman spectroscopy has been reported to allow fast and easy intraoperative tissue analysis. Here, we report data on the intraoperative implementation of a stimulated Raman histology (SRH) as an inno...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976801/ https://www.ncbi.nlm.nih.gov/pubmed/34914024 http://dx.doi.org/10.1007/s10143-021-01712-0 |
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author | Neidert, Nicolas Straehle, Jakob Erny, Daniel Sacalean, Vlad El Rahal, Amir Steybe, David Schmelzeisen, Rainer Vlachos, Andreas Reinacher, Peter Christoph Coenen, Volker Arnd Mizaikoff, Boris Heiland, Dieter Henrik Prinz, Marco Beck, Jürgen Schnell, Oliver |
author_facet | Neidert, Nicolas Straehle, Jakob Erny, Daniel Sacalean, Vlad El Rahal, Amir Steybe, David Schmelzeisen, Rainer Vlachos, Andreas Reinacher, Peter Christoph Coenen, Volker Arnd Mizaikoff, Boris Heiland, Dieter Henrik Prinz, Marco Beck, Jürgen Schnell, Oliver |
author_sort | Neidert, Nicolas |
collection | PubMed |
description | Histopathological diagnosis is the current standard for the classification of brain and spine tumors. Raman spectroscopy has been reported to allow fast and easy intraoperative tissue analysis. Here, we report data on the intraoperative implementation of a stimulated Raman histology (SRH) as an innovative strategy offering intraoperative near real-time histopathological analysis. A total of 429 SRH images from 108 patients were generated and analyzed by using a Raman imaging system (Invenio Imaging Inc.). We aimed at establishing a dedicated workflow for SRH serving as an intraoperative diagnostic, research, and quality control tool in the neurosurgical operating room (OR). First experiences with this novel imaging modality were reported and analyzed suggesting process optimization regarding tissue collection, preparation, and imaging. The Raman imaging system was rapidly integrated into the surgical workflow of a large neurosurgical center. Within a few minutes of connecting the device, the first high-quality images could be acquired in a “plug-and-play” manner. We did not encounter relevant obstacles and the learning curve was steep. However, certain prerequisites regarding quality and acquisition of tissue samples, data processing and interpretation, and high throughput adaptions must be considered. Intraoperative SRH can easily be integrated into the workflow of neurosurgical tumor resection. Considering few process optimizations that can be implemented rapidly, high-quality images can be obtained near real time. Hence, we propose SRH as a complementary tool for the diagnosis of tumor entity, analysis of tumor infiltration zones, online quality and safety control and as a research tool in the neurosurgical OR. |
format | Online Article Text |
id | pubmed-8976801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89768012022-04-07 Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A Neidert, Nicolas Straehle, Jakob Erny, Daniel Sacalean, Vlad El Rahal, Amir Steybe, David Schmelzeisen, Rainer Vlachos, Andreas Reinacher, Peter Christoph Coenen, Volker Arnd Mizaikoff, Boris Heiland, Dieter Henrik Prinz, Marco Beck, Jürgen Schnell, Oliver Neurosurg Rev Original Article Histopathological diagnosis is the current standard for the classification of brain and spine tumors. Raman spectroscopy has been reported to allow fast and easy intraoperative tissue analysis. Here, we report data on the intraoperative implementation of a stimulated Raman histology (SRH) as an innovative strategy offering intraoperative near real-time histopathological analysis. A total of 429 SRH images from 108 patients were generated and analyzed by using a Raman imaging system (Invenio Imaging Inc.). We aimed at establishing a dedicated workflow for SRH serving as an intraoperative diagnostic, research, and quality control tool in the neurosurgical operating room (OR). First experiences with this novel imaging modality were reported and analyzed suggesting process optimization regarding tissue collection, preparation, and imaging. The Raman imaging system was rapidly integrated into the surgical workflow of a large neurosurgical center. Within a few minutes of connecting the device, the first high-quality images could be acquired in a “plug-and-play” manner. We did not encounter relevant obstacles and the learning curve was steep. However, certain prerequisites regarding quality and acquisition of tissue samples, data processing and interpretation, and high throughput adaptions must be considered. Intraoperative SRH can easily be integrated into the workflow of neurosurgical tumor resection. Considering few process optimizations that can be implemented rapidly, high-quality images can be obtained near real time. Hence, we propose SRH as a complementary tool for the diagnosis of tumor entity, analysis of tumor infiltration zones, online quality and safety control and as a research tool in the neurosurgical OR. Springer Berlin Heidelberg 2021-12-16 2022 /pmc/articles/PMC8976801/ /pubmed/34914024 http://dx.doi.org/10.1007/s10143-021-01712-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Neidert, Nicolas Straehle, Jakob Erny, Daniel Sacalean, Vlad El Rahal, Amir Steybe, David Schmelzeisen, Rainer Vlachos, Andreas Reinacher, Peter Christoph Coenen, Volker Arnd Mizaikoff, Boris Heiland, Dieter Henrik Prinz, Marco Beck, Jürgen Schnell, Oliver Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title | Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title_full | Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title_fullStr | Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title_full_unstemmed | Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title_short | Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A |
title_sort | stimulated raman histology in the neurosurgical workflow of a major european neurosurgical center — part a |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976801/ https://www.ncbi.nlm.nih.gov/pubmed/34914024 http://dx.doi.org/10.1007/s10143-021-01712-0 |
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