Open Access
19 October 2018 Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment
Jeffrey M. Cochran, David R. Busch, Anaïs Leproux, Zheng Zhang, Thomas D. O’Sullivan, Albert E. Cerussi, Philip M. Carpenter, Rita S. Mehta, Darren Roblyer, Wei Yang, Keith D. Paulsen, Brian Pogue, Shudong Jiang, Peter A. Kaufman, So Hyun Chung, Mitchell Schnall, Bradley S. Snyder, Nola Hylton, Stefan A. Carp, Steven J. Isakoff, David Mankoff, Bruce J. Tromberg, Arjun G. Yodh
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Abstract
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 z-score normalization to healthy tissue, produced models with robust predictions. Notably, logistic regression based on z-score normalization using only tissue oxygen saturation (StO2) measured within 10 days of the initial therapy dose was found to be a significant predictor of pCR (AUC  =  0.92; 95% CI: 0.82 to 1). This observation suggests that patients who show rapid convergence of tumor tissue StO2 to surrounding tissue StO2 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.
CC BY: © The Authors. 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.
Jeffrey M. Cochran, David R. Busch, Anaïs Leproux, Zheng Zhang, Thomas D. O’Sullivan, Albert E. Cerussi, Philip M. Carpenter, Rita S. Mehta, Darren Roblyer, Wei Yang, Keith D. Paulsen, Brian Pogue, Shudong Jiang, Peter A. Kaufman, So Hyun Chung, Mitchell Schnall, Bradley S. Snyder, Nola Hylton, Stefan A. Carp, Steven J. Isakoff, David Mankoff, Bruce J. Tromberg, and Arjun G. Yodh "Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment," Journal of Biomedical Optics 24(2), 021202 (19 October 2018). https://doi.org/10.1117/1.JBO.24.2.021202
Received: 8 June 2018; Accepted: 30 August 2018; Published: 19 October 2018
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Cited by 47 scholarly publications.
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KEYWORDS
Tumors

Tissues

Oxygen

Breast

Data modeling

Tissue optics

Breast cancer

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