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Nonlinear multispectral imaging for tumor delineation
Significance: In breast-preserving tumor surgery, the inspection of the excised tissue boundaries for tumor residue is too slow to provide feedback during the surgery. The discovery of positive margins requires a new surgery which is difficult and associated with low success. If the re-excision coul...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470215/ https://www.ncbi.nlm.nih.gov/pubmed/32885620 http://dx.doi.org/10.1117/1.JBO.25.9.096001 |
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author | Beletkaia, Elena Dashtbozorg, Behdad Jansen, Rubin G. Ruers, Theo J. M. Offerhaus, Herman L. |
author_facet | Beletkaia, Elena Dashtbozorg, Behdad Jansen, Rubin G. Ruers, Theo J. M. Offerhaus, Herman L. |
author_sort | Beletkaia, Elena |
collection | PubMed |
description | Significance: In breast-preserving tumor surgery, the inspection of the excised tissue boundaries for tumor residue is too slow to provide feedback during the surgery. The discovery of positive margins requires a new surgery which is difficult and associated with low success. If the re-excision could be done immediately this is believed to improve the success rate considerably. Aim: Our aim is for a fast microscopic analysis that can be done directly on the excised tissue in or near the operating theatre. Approach: We demonstrate the combination of three nonlinear imaging techniques at selected wavelengths to delineate tumor boundaries. We use hyperspectral coherent anti-Stokes Raman scattering (CARS), second harmonic generation (SHG), and two-photon excited fluorescence (TPF) on excised patient tissue. Results: We show the discriminatory power of each of the signals and demonstrate a sensitivity of 0.87 and a specificity of 0.95 using four CARS wavelengths in combination with SHG and TPF. We verify that the information is independent of sample treatment. Conclusions: Nonlinear multispectral imaging can be used to accurately determine tumor boundaries. This demonstration using microscopy in the epi-direction directly on thick tissue slices brings this technology one step closer to clinical implementation. |
format | Online Article Text |
id | pubmed-7470215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-74702152020-09-03 Nonlinear multispectral imaging for tumor delineation Beletkaia, Elena Dashtbozorg, Behdad Jansen, Rubin G. Ruers, Theo J. M. Offerhaus, Herman L. J Biomed Opt Imaging Significance: In breast-preserving tumor surgery, the inspection of the excised tissue boundaries for tumor residue is too slow to provide feedback during the surgery. The discovery of positive margins requires a new surgery which is difficult and associated with low success. If the re-excision could be done immediately this is believed to improve the success rate considerably. Aim: Our aim is for a fast microscopic analysis that can be done directly on the excised tissue in or near the operating theatre. Approach: We demonstrate the combination of three nonlinear imaging techniques at selected wavelengths to delineate tumor boundaries. We use hyperspectral coherent anti-Stokes Raman scattering (CARS), second harmonic generation (SHG), and two-photon excited fluorescence (TPF) on excised patient tissue. Results: We show the discriminatory power of each of the signals and demonstrate a sensitivity of 0.87 and a specificity of 0.95 using four CARS wavelengths in combination with SHG and TPF. We verify that the information is independent of sample treatment. Conclusions: Nonlinear multispectral imaging can be used to accurately determine tumor boundaries. This demonstration using microscopy in the epi-direction directly on thick tissue slices brings this technology one step closer to clinical implementation. Society of Photo-Optical Instrumentation Engineers 2020-09-03 2020-09 /pmc/articles/PMC7470215/ /pubmed/32885620 http://dx.doi.org/10.1117/1.JBO.25.9.096001 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/ Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Imaging Beletkaia, Elena Dashtbozorg, Behdad Jansen, Rubin G. Ruers, Theo J. M. Offerhaus, Herman L. Nonlinear multispectral imaging for tumor delineation |
title | Nonlinear multispectral imaging for tumor delineation |
title_full | Nonlinear multispectral imaging for tumor delineation |
title_fullStr | Nonlinear multispectral imaging for tumor delineation |
title_full_unstemmed | Nonlinear multispectral imaging for tumor delineation |
title_short | Nonlinear multispectral imaging for tumor delineation |
title_sort | nonlinear multispectral imaging for tumor delineation |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470215/ https://www.ncbi.nlm.nih.gov/pubmed/32885620 http://dx.doi.org/10.1117/1.JBO.25.9.096001 |
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