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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...

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Autores principales: Beletkaia, Elena, Dashtbozorg, Behdad, Jansen, Rubin G., Ruers, Theo J. M., Offerhaus, Herman L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
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.
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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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