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Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment
Ideally, neoadjuvant chemotherapy (NAC) assessment should predict pathologic complete response (pCR), a surrogate clinical endpoint for 5-year survival, as early as possible during typical 3- to 6-month breast cancer treatments. We introduce and demonstrate an approach for predicting pCR within 10 d...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194199/ https://www.ncbi.nlm.nih.gov/pubmed/30338678 http://dx.doi.org/10.1117/1.JBO.24.2.021202 |
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author | Cochran, Jeffrey M. Busch, David R. Leproux, Anaïs Zhang, Zheng O’Sullivan, Thomas D. Cerussi, Albert E. Carpenter, Philip M. Mehta, Rita S. Roblyer, Darren Yang, Wei Paulsen, Keith D. Pogue, Brian Jiang, Shudong Kaufman, Peter A. Chung, So Hyun Schnall, Mitchell Snyder, Bradley S. Hylton, Nola Carp, Stefan A. Isakoff, Steven J. Mankoff, David Tromberg, Bruce J. Yodh, Arjun G. |
author_facet | Cochran, Jeffrey M. Busch, David R. Leproux, Anaïs Zhang, Zheng O’Sullivan, Thomas D. Cerussi, Albert E. Carpenter, Philip M. Mehta, Rita S. Roblyer, Darren Yang, Wei Paulsen, Keith D. Pogue, Brian Jiang, Shudong Kaufman, Peter A. Chung, So Hyun Schnall, Mitchell Snyder, Bradley S. Hylton, Nola Carp, Stefan A. Isakoff, Steven J. Mankoff, David Tromberg, Bruce J. Yodh, Arjun G. |
author_sort | Cochran, Jeffrey M. |
collection | PubMed |
description | Ideally, neoadjuvant chemotherapy (NAC) assessment should predict pathologic complete response (pCR), a surrogate clinical endpoint for 5-year survival, as early as possible during typical 3- to 6-month breast cancer treatments. We introduce and demonstrate an approach for predicting pCR within 10 days of initiating NAC. The method uses a bedside diffuse optical spectroscopic imaging (DOSI) technology and logistic regression modeling. Tumor and normal tissue physiological properties were measured longitudinally throughout the course of NAC in 33 patients enrolled in the American College of Radiology Imaging Network multicenter breast cancer DOSI trial (ACRIN-6691). An image analysis scheme, employing [Formula: see text]-score normalization to healthy tissue, produced models with robust predictions. Notably, logistic regression based on [Formula: see text]-score normalization using only tissue oxygen saturation ([Formula: see text]) measured within 10 days of the initial therapy dose was found to be a significant predictor of pCR ([Formula: see text]; 95% CI: 0.82 to 1). This observation suggests that patients who show rapid convergence of tumor tissue [Formula: see text] to surrounding tissue [Formula: see text] are more likely to achieve pCR. This early predictor of pCR occurs prior to reductions in tumor size and could enable dynamic feedback for optimization of chemotherapy strategies in breast cancer. |
format | Online Article Text |
id | pubmed-6194199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-61941992019-10-19 Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment Cochran, Jeffrey M. Busch, David R. Leproux, Anaïs Zhang, Zheng O’Sullivan, Thomas D. Cerussi, Albert E. Carpenter, Philip M. Mehta, Rita S. Roblyer, Darren Yang, Wei Paulsen, Keith D. Pogue, Brian Jiang, Shudong Kaufman, Peter A. Chung, So Hyun Schnall, Mitchell Snyder, Bradley S. Hylton, Nola Carp, Stefan A. Isakoff, Steven J. Mankoff, David Tromberg, Bruce J. Yodh, Arjun G. J Biomed Opt Special Section on Translational Biophotonics Ideally, neoadjuvant chemotherapy (NAC) assessment should predict pathologic complete response (pCR), a surrogate clinical endpoint for 5-year survival, as early as possible during typical 3- to 6-month breast cancer treatments. We introduce and demonstrate an approach for predicting pCR within 10 days of initiating NAC. The method uses a bedside diffuse optical spectroscopic imaging (DOSI) technology and logistic regression modeling. Tumor and normal tissue physiological properties were measured longitudinally throughout the course of NAC in 33 patients enrolled in the American College of Radiology Imaging Network multicenter breast cancer DOSI trial (ACRIN-6691). An image analysis scheme, employing [Formula: see text]-score normalization to healthy tissue, produced models with robust predictions. Notably, logistic regression based on [Formula: see text]-score normalization using only tissue oxygen saturation ([Formula: see text]) measured within 10 days of the initial therapy dose was found to be a significant predictor of pCR ([Formula: see text]; 95% CI: 0.82 to 1). This observation suggests that patients who show rapid convergence of tumor tissue [Formula: see text] to surrounding tissue [Formula: see text] are more likely to achieve pCR. This early predictor of pCR occurs prior to reductions in tumor size and could enable dynamic feedback for optimization of chemotherapy strategies in breast cancer. Society of Photo-Optical Instrumentation Engineers 2018-10-19 2019-02 /pmc/articles/PMC6194199/ /pubmed/30338678 http://dx.doi.org/10.1117/1.JBO.24.2.021202 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section on Translational Biophotonics Cochran, Jeffrey M. Busch, David R. Leproux, Anaïs Zhang, Zheng O’Sullivan, Thomas D. Cerussi, Albert E. Carpenter, Philip M. Mehta, Rita S. Roblyer, Darren Yang, Wei Paulsen, Keith D. Pogue, Brian Jiang, Shudong Kaufman, Peter A. Chung, So Hyun Schnall, Mitchell Snyder, Bradley S. Hylton, Nola Carp, Stefan A. Isakoff, Steven J. Mankoff, David Tromberg, Bruce J. Yodh, Arjun G. Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title | Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title_full | Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title_fullStr | Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title_full_unstemmed | Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title_short | Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
title_sort | tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment |
topic | Special Section on Translational Biophotonics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194199/ https://www.ncbi.nlm.nih.gov/pubmed/30338678 http://dx.doi.org/10.1117/1.JBO.24.2.021202 |
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