Phenotyping drug response of living tissue based on tissue-dynamics spectroscopy

Zhen Hua; John Turek; David Nolte

doi:10.1117/12.2610371

2 March 2022 Phenotyping drug response of living tissue based on tissue-dynamics spectroscopy

Zhen Hua, John Turek, David Nolte

Author Affiliations +

Proceedings Volume 11959, Dynamics and Fluctuations in Biomedical Photonics XIX; 1195906 (2022) https://doi.org/10.1117/12.2610371
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Tissue dynamics spectroscopy (TDS) uses coherence-gated dynamic light scattering from living tissues to predict tissue response to applied drugs. In clinical trials aimed at measuring patient chemoresistance, intra-sample variability poses a challenge for the prediction of patient response to therapy. Previous work has identified and characterized different baseline conditions and drug responses by averaging TDS signatures over patient biopsies, but most samples display more than one phenotypic response to the treatment. To address this problem, we introduce well-by-well phenotypic classification to improve chemoresistance accuracy. The methodology is applied here to a recently concluded clinical trial measuring TDS of human esophageal cancer.

Citation Download Citation

Zhen Hua, John Turek, and David Nolte "Phenotyping drug response of living tissue based on tissue-dynamics spectroscopy", Proc. SPIE 11959, Dynamics and Fluctuations in Biomedical Photonics XIX, 1195906 (2 March 2022); https://doi.org/10.1117/12.2610371

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