Identifying an optimal time window for predicting response to neoadjuvant chemotherapy using breast cancer subtypes and hemoglobin parameters assessed by US-guided Optical Tomography

Quing Zhu; Susan Tannenbaum; Scott H. Kurtzman; Patricia DeFusco; Andrew Ricci; Hamed Vavadi; Feifei Zhou; Chen Xu; Alex Merkulov; Poornima Hegde; Mark Kane; Liqun Wang; Kert Sabbath

doi:10.1364/OTS.2018.OTh4D.2

Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS)
OSA Technical Digest (Optica Publishing Group, 2018),
paper OTh4D.2
•https://doi.org/10.1364/OTS.2018.OTh4D.2

Identifying an optimal time window for predicting response to neoadjuvant chemotherapy using breast cancer subtypes and hemoglobin parameters assessed by US-guided Optical Tomography

Quing Zhu, Susan Tannenbaum, Scott H. Kurtzman, Patricia DeFusco, Andrew Ricci, Hamed Vavadi, Feifei Zhou, Chen Xu, Alex Merkulov, Poornima Hegde, Mark Kane, Liqun Wang, and Kert Sabbath

Optical Tomography and Spectroscopy 2018

Hollywood, Florida United States
3–6 April 2018
ISBN: 978-1-943580-41-5

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Tomographic and Spectroscopy Methods for Non-Invasive Imaging of Disease (OTh4D)

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Q. Zhu, S. Tannenbaum, S. H. Kurtzman, P. DeFusco, A. Ricci, H. Vavadi, F. Zhou, C. Xu, A. Merkulov, P. Hegde, M. Kane, L. Wang, and K. Sabbath, "Identifying an optimal time window for predicting response to neoadjuvant chemotherapy using breast cancer subtypes and hemoglobin parameters assessed by US-guided Optical Tomography," in Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS), OSA Technical Digest (Optica Publishing Group, 2018), paper OTh4D.2.

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Abstract

The study has identified an optimal time window for predicting breast cancer pathological response to neoadjuvant chemotherapy (NAC) based on tumor subtypes, pretreatment total-hemoglobin level and early changes of total-hemoglobin following NAC.

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