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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...
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/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. |
format | Online Article Text |
id | pubmed-7506185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
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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