Paper
18 November 2014 Identification of the boundary between normal breast tissue and invasive ductal carcinoma during breast-conserving surgery using multiphoton microscopy
Tongxin Deng, Yuting Nie, Yuane Lian, Yan Wu, Fangmeng Fu, Chuan Wang, Shuangmu Zhuo, Jianxin Chen
Author Affiliations +
Abstract
Breast-conserving surgery has become an important way of surgical treatment for breast cancer worldwide nowadays. Multiphoton microscopy (MPM) has the ability to noninvasively visualize tissue architectures at the cellular level using intrinsic fluorescent molecules in biological tissues without the need for fluorescent dye. In this study, MPM is used to image the microstructures of terminal duct lobular unit (TDLU), invasive ductal carcinoma and the boundary region between normal and cancerous breast tissues. Our study demonstrates that MPM has the ability to not only reveal the morphological changes of the cuboidal epithelium, basement membrane and interlobular stroma but also identify the boundary between normal breast tissue and invasive ductal carcinoma, which correspond well to the Hematoxylin and Eosin (H and E) images. Predictably, MPM can monitor surgical margins in real time and provide considerable accuracy for resection of breast cancerous tissues intraoperatively. With the development of miniature, real-time MPM imaging technology, MPM should have great application prospects during breast-conserving surgery.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tongxin Deng, Yuting Nie, Yuane Lian, Yan Wu, Fangmeng Fu, Chuan Wang, Shuangmu Zhuo, and Jianxin Chen "Identification of the boundary between normal breast tissue and invasive ductal carcinoma during breast-conserving surgery using multiphoton microscopy", Proc. SPIE 9268, Optics in Health Care and Biomedical Optics VI, 92681A (18 November 2014); https://doi.org/10.1117/12.2070795
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KEYWORDS
Breast

Tissues

Surgery

Breast cancer

Multiphoton microscopy

Cancer

Image resolution

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