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Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue

Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label‐free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltra...

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Autores principales: Zhang, Zhiqing, de Munck, Jan C., Verburg, Niels, Rozemuller, Annemieke J., Vreuls, Willem, Cakmak, Pinar, van Huizen, Laura M. G., Idema, Sander, Aronica, Eleonora, de Witt Hamer, Philip C., Wesseling, Pieter, Groot, Marie Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548968/
https://www.ncbi.nlm.nih.gov/pubmed/31179222
http://dx.doi.org/10.1002/advs.201900163
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author Zhang, Zhiqing
de Munck, Jan C.
Verburg, Niels
Rozemuller, Annemieke J.
Vreuls, Willem
Cakmak, Pinar
van Huizen, Laura M. G.
Idema, Sander
Aronica, Eleonora
de Witt Hamer, Philip C.
Wesseling, Pieter
Groot, Marie Louise
author_facet Zhang, Zhiqing
de Munck, Jan C.
Verburg, Niels
Rozemuller, Annemieke J.
Vreuls, Willem
Cakmak, Pinar
van Huizen, Laura M. G.
Idema, Sander
Aronica, Eleonora
de Witt Hamer, Philip C.
Wesseling, Pieter
Groot, Marie Louise
author_sort Zhang, Zhiqing
collection PubMed
description Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label‐free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltration in fresh, unprocessed tissue in real time is assessed. The THG images reveal increased cellularity in grades II–IV glioma samples from 23 patients, as confirmed by subsequent hematoxylin and eosin histology. An automated image quantification workflow is presented for quantitative assessment of the imaged cellularity as a reflection of the degree of glioma invasion. The cellularity is validated in three ways: 1) Quantitative comparison of THG imaging with fluorescence microscopy of nucleus‐stained samples demonstrates that THG reflects the true tissue cellularity. 2) Thresholding of THG cellularity differentiates normal brain from glioma infiltration, with 96.6% sensitivity and 95.5% specificity, in nearly perfect (93%) agreement with pathologists. 3) In one patient, a good correlation between THG cellularity and preoperative magnetic resonance and positron emission tomography imaging is demonstrated. In conclusion, quantitative real‐time THG microscopy accurately assesses glioma infiltration in ex vivo human brain samples, and therefore holds strong potential for improving the accuracy of surgical resection.
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spelling pubmed-65489682019-06-07 Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue Zhang, Zhiqing de Munck, Jan C. Verburg, Niels Rozemuller, Annemieke J. Vreuls, Willem Cakmak, Pinar van Huizen, Laura M. G. Idema, Sander Aronica, Eleonora de Witt Hamer, Philip C. Wesseling, Pieter Groot, Marie Louise Adv Sci (Weinh) Full Papers Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label‐free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltration in fresh, unprocessed tissue in real time is assessed. The THG images reveal increased cellularity in grades II–IV glioma samples from 23 patients, as confirmed by subsequent hematoxylin and eosin histology. An automated image quantification workflow is presented for quantitative assessment of the imaged cellularity as a reflection of the degree of glioma invasion. The cellularity is validated in three ways: 1) Quantitative comparison of THG imaging with fluorescence microscopy of nucleus‐stained samples demonstrates that THG reflects the true tissue cellularity. 2) Thresholding of THG cellularity differentiates normal brain from glioma infiltration, with 96.6% sensitivity and 95.5% specificity, in nearly perfect (93%) agreement with pathologists. 3) In one patient, a good correlation between THG cellularity and preoperative magnetic resonance and positron emission tomography imaging is demonstrated. In conclusion, quantitative real‐time THG microscopy accurately assesses glioma infiltration in ex vivo human brain samples, and therefore holds strong potential for improving the accuracy of surgical resection. John Wiley and Sons Inc. 2019-04-05 /pmc/articles/PMC6548968/ /pubmed/31179222 http://dx.doi.org/10.1002/advs.201900163 Text en © 2019 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Zhang, Zhiqing
de Munck, Jan C.
Verburg, Niels
Rozemuller, Annemieke J.
Vreuls, Willem
Cakmak, Pinar
van Huizen, Laura M. G.
Idema, Sander
Aronica, Eleonora
de Witt Hamer, Philip C.
Wesseling, Pieter
Groot, Marie Louise
Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title_full Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title_fullStr Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title_full_unstemmed Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title_short Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue
title_sort quantitative third harmonic generation microscopy for assessment of glioma in human brain tissue
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548968/
https://www.ncbi.nlm.nih.gov/pubmed/31179222
http://dx.doi.org/10.1002/advs.201900163
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