Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters

Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters

Abstract Background Breast cancer pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) varies with tumor subtype. The purpose of this study was to identify an early treatment window for predicting pCR based on tumor subtype, pretreatment total hemoglobin (tHb) level, and early change...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2018-06-01
Series:Breast Cancer Research
Subjects:
Predicting neoadjuvant chemotherapy
Personalized medicine
Near infrared imaging
Ultrasound-guided optical imaging
Online Access:http://link.springer.com/article/10.1186/s13058-018-0975-1

Internet

http://link.springer.com/article/10.1186/s13058-018-0975-1

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