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Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue

Significance: Tumor heterogeneity poses a challenge for the chemotherapeutic treatment of cancer. Tissue dynamics spectroscopy captures dynamic contrast and can capture the response of living tissue to applied therapeutics, but the current analysis averages over the complicated spatial response of l...

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Autores principales: Li, Zhe, Hu, Bihe, Li, Guang, Fox, Sharon E., Jalal, Shadia I., Turek, John, Brown, J. Quincy, Nolte, David D.
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/PMC7506185/
https://www.ncbi.nlm.nih.gov/pubmed/32964703
http://dx.doi.org/10.1117/1.JBO.25.9.096006
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author Li, Zhe
Hu, Bihe
Li, Guang
Fox, Sharon E.
Jalal, Shadia I.
Turek, John
Brown, J. Quincy
Nolte, David D.
author_facet Li, Zhe
Hu, Bihe
Li, Guang
Fox, Sharon E.
Jalal, Shadia I.
Turek, John
Brown, J. Quincy
Nolte, David D.
author_sort Li, Zhe
collection PubMed
description Significance: Tumor heterogeneity poses a challenge for the chemotherapeutic treatment of cancer. Tissue dynamics spectroscopy captures dynamic contrast and can capture the response of living tissue to applied therapeutics, but the current analysis averages over the complicated spatial response of living biopsy samples. Aim: To develop tissue dynamics spectroscopic imaging (TDSI) to map the heterogeneous spatial response of tumor tissue to anticancer drugs. Approach: TDSI is applied to tumor spheroids grown from cell lines and to ex vivo living esophageal biopsy samples. Doppler fluctuation spectroscopy is performed on a voxel basis to extract spatial maps of biodynamic biomarkers. Functional images and bivariate spatial maps are produced using a bivariate color merge to represent the spatial distribution of pairs of signed drug-response biodynamic biomarkers. Results: We have mapped the spatial variability of drug responses within biopsies and have tracked sample-to-sample variability. Sample heterogeneity observed in the biodynamic maps is associated with histological heterogeneity observed using inverted selective-plane illumination microscopy. Conclusion: We have demonstrated the utility of TDSI as a functional imaging method to measure tumor heterogeneity and its potential for use in drug-response profiling.
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spelling pubmed-75061852020-09-28 Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue Li, Zhe Hu, Bihe Li, Guang Fox, Sharon E. Jalal, Shadia I. Turek, John Brown, J. Quincy Nolte, David D. J Biomed Opt Imaging Significance: Tumor heterogeneity poses a challenge for the chemotherapeutic treatment of cancer. Tissue dynamics spectroscopy captures dynamic contrast and can capture the response of living tissue to applied therapeutics, but the current analysis averages over the complicated spatial response of living biopsy samples. Aim: To develop tissue dynamics spectroscopic imaging (TDSI) to map the heterogeneous spatial response of tumor tissue to anticancer drugs. Approach: TDSI is applied to tumor spheroids grown from cell lines and to ex vivo living esophageal biopsy samples. Doppler fluctuation spectroscopy is performed on a voxel basis to extract spatial maps of biodynamic biomarkers. Functional images and bivariate spatial maps are produced using a bivariate color merge to represent the spatial distribution of pairs of signed drug-response biodynamic biomarkers. Results: We have mapped the spatial variability of drug responses within biopsies and have tracked sample-to-sample variability. Sample heterogeneity observed in the biodynamic maps is associated with histological heterogeneity observed using inverted selective-plane illumination microscopy. Conclusion: We have demonstrated the utility of TDSI as a functional imaging method to measure tumor heterogeneity and its potential for use in drug-response profiling. Society of Photo-Optical Instrumentation Engineers 2020-09-22 2020-09 /pmc/articles/PMC7506185/ /pubmed/32964703 http://dx.doi.org/10.1117/1.JBO.25.9.096006 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
Li, Zhe
Hu, Bihe
Li, Guang
Fox, Sharon E.
Jalal, Shadia I.
Turek, John
Brown, J. Quincy
Nolte, David D.
Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title_full Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title_fullStr Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title_full_unstemmed Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title_short Tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
title_sort tissue dynamics spectroscopic imaging: functional imaging of heterogeneous cancer tissue
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506185/
https://www.ncbi.nlm.nih.gov/pubmed/32964703
http://dx.doi.org/10.1117/1.JBO.25.9.096006
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