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Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery
Objective: Fluorescence dyes are increasingly used in brain tumor surgeries, and thus the development of simulation models is important for teaching neurosurgery trainees how to perform fluorescence-guided operations. We aimed to create a tumor model for fluorescence-guided surgery in high-grade gli...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706957/ https://www.ncbi.nlm.nih.gov/pubmed/31475107 http://dx.doi.org/10.3389/fonc.2019.00748 |
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author | Valli, Daniel Belykh, Evgenii Zhao, Xiaochun Gandhi, Sirin Cavallo, Claudio Martirosyan, Nikolay L. Nakaji, Peter Lawton, Michael T. Preul, Mark C. |
author_facet | Valli, Daniel Belykh, Evgenii Zhao, Xiaochun Gandhi, Sirin Cavallo, Claudio Martirosyan, Nikolay L. Nakaji, Peter Lawton, Michael T. Preul, Mark C. |
author_sort | Valli, Daniel |
collection | PubMed |
description | Objective: Fluorescence dyes are increasingly used in brain tumor surgeries, and thus the development of simulation models is important for teaching neurosurgery trainees how to perform fluorescence-guided operations. We aimed to create a tumor model for fluorescence-guided surgery in high-grade glioma (HGG). Methods: The tumor model was generated by the following steps: creating a tumor gel with a similar consistency to HGG, selecting fluorophores at optimal concentrations with realistic color, mixing the fluorophores with tumor gel, injecting the gel into fresh pig/sheep brain, and testing resection of the tumor model under a fluorescence microscope. The optimal tumor gel was selected among different combinations of agar and gelatin. The fluorophores included fluorescein, indocyanine green (ICG), europium, chlorin e6 (Ce6), and protoporphyrin IX (PpIX). The tumor model was tested by neurosurgeons and neurosurgery trainees, and a survey was used to assess the validity of the model. In addition, the photobleaching phenomenon was studied to evaluate its influence on fluorescence detection. Results: The best tumor gel formula in terms of consistency and tactile response was created using 100 mL water at 100°C, 0.5 g of agar, and 3 g of gelatin mixed thoroughly for 3 min. An additional 1 g of agar was added when the tumor gel cooled to 50°C. The optimal fluorophore concentration ranges were fluorescein 1.9 × 10(−4) to 3.8 × 10(−4) mg/mL, ICG 4.9 × 10(−3) to 9.8 × 10(−3) mg/mL, europium 7.0 × 10(−2) to 1.4 × 10(−1) mg/mL, Ce6 2.2 × 10(−3) to 4.4 × 10(−3) mg/mL, and PpIX 1.8 × 10(−2) to 3.5 × 10(−2) mg/mL. No statistical differences among fluorophores were found for face validity, content validity, and fluorophore preference. Europium, ICG, and fluorescein were shown to be relatively stable during photobleaching experiments, while chlorin e6 and PpIX had lower stability. Conclusions: The model can efficiently highlight the “tumor” with 3 different colors—green, yellow, or infrared green with color overlay. These models showed high face and content validity, although there was no significant difference among the models regarding the degree of simulation and training effectiveness. They are useful educational tools for teaching the key concepts of intra-axial tumor resection techniques, such as subpial dissection and nuances of fluorescence-guided surgery. |
format | Online Article Text |
id | pubmed-6706957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67069572019-08-30 Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery Valli, Daniel Belykh, Evgenii Zhao, Xiaochun Gandhi, Sirin Cavallo, Claudio Martirosyan, Nikolay L. Nakaji, Peter Lawton, Michael T. Preul, Mark C. Front Oncol Oncology Objective: Fluorescence dyes are increasingly used in brain tumor surgeries, and thus the development of simulation models is important for teaching neurosurgery trainees how to perform fluorescence-guided operations. We aimed to create a tumor model for fluorescence-guided surgery in high-grade glioma (HGG). Methods: The tumor model was generated by the following steps: creating a tumor gel with a similar consistency to HGG, selecting fluorophores at optimal concentrations with realistic color, mixing the fluorophores with tumor gel, injecting the gel into fresh pig/sheep brain, and testing resection of the tumor model under a fluorescence microscope. The optimal tumor gel was selected among different combinations of agar and gelatin. The fluorophores included fluorescein, indocyanine green (ICG), europium, chlorin e6 (Ce6), and protoporphyrin IX (PpIX). The tumor model was tested by neurosurgeons and neurosurgery trainees, and a survey was used to assess the validity of the model. In addition, the photobleaching phenomenon was studied to evaluate its influence on fluorescence detection. Results: The best tumor gel formula in terms of consistency and tactile response was created using 100 mL water at 100°C, 0.5 g of agar, and 3 g of gelatin mixed thoroughly for 3 min. An additional 1 g of agar was added when the tumor gel cooled to 50°C. The optimal fluorophore concentration ranges were fluorescein 1.9 × 10(−4) to 3.8 × 10(−4) mg/mL, ICG 4.9 × 10(−3) to 9.8 × 10(−3) mg/mL, europium 7.0 × 10(−2) to 1.4 × 10(−1) mg/mL, Ce6 2.2 × 10(−3) to 4.4 × 10(−3) mg/mL, and PpIX 1.8 × 10(−2) to 3.5 × 10(−2) mg/mL. No statistical differences among fluorophores were found for face validity, content validity, and fluorophore preference. Europium, ICG, and fluorescein were shown to be relatively stable during photobleaching experiments, while chlorin e6 and PpIX had lower stability. Conclusions: The model can efficiently highlight the “tumor” with 3 different colors—green, yellow, or infrared green with color overlay. These models showed high face and content validity, although there was no significant difference among the models regarding the degree of simulation and training effectiveness. They are useful educational tools for teaching the key concepts of intra-axial tumor resection techniques, such as subpial dissection and nuances of fluorescence-guided surgery. Frontiers Media S.A. 2019-08-16 /pmc/articles/PMC6706957/ /pubmed/31475107 http://dx.doi.org/10.3389/fonc.2019.00748 Text en Copyright © 2019 Valli, Belykh, Zhao, Gandhi, Cavallo, Martirosyan, Nakaji, Lawton and Preul. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Valli, Daniel Belykh, Evgenii Zhao, Xiaochun Gandhi, Sirin Cavallo, Claudio Martirosyan, Nikolay L. Nakaji, Peter Lawton, Michael T. Preul, Mark C. Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title | Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title_full | Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title_fullStr | Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title_full_unstemmed | Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title_short | Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery |
title_sort | development of a simulation model for fluorescence-guided brain tumor surgery |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706957/ https://www.ncbi.nlm.nih.gov/pubmed/31475107 http://dx.doi.org/10.3389/fonc.2019.00748 |
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