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Proceedings Paper

Identifying three different grades of human breast ductal carcinoma in situ using multiphoton microscopy
Author(s): Zhong Chen; Tingfeng Shen; Liqin Zheng; Deyong Kang; Jianxin Chen
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Paper Abstract

In recent years, the detection rate of ductal carcinoma in situ (DCIS) has been greatly increased due to the wide application of mammography. DCIS is a non-invasive neoplastic lesion that encompassed a heterogeneous group of lesions characterized by mild to severe atypia in ductal hyperplastic tumor cells. To facilitate the selection of appropriate treatments and to predict the risk of recurrence of DCIS, pathologists divide DCIS into three grades based primarily on nuclear grade (low grade, intermediate grade and high grade) and intraductal necrosis (comedo or punctate). Imaging and clinical examination failed to identify the grade of DCIS due to lack of adequate resolution. Clinically, the histopathological gold standard "hematoxylin and eosin-stained (H and E) sections" is used to identify the grade of DCIS. But, hematoxylin and eosin-stained (H and E) sections has several shortcomings, including time-consuming and complicated pathological procedures, labor intensive, and some subjective errors. Multiphoton microscopy (MPM) based on two-photon excitation fluorescence (TPEF) and second harmonic generation (SHG), provides a label-free, low phototoxicity and high-resolution imaging method for label-free tissue samples. In this study, we used MPM to identify three different grades of human breast DCIS. Our results demonstrated that MPM can be rapidly used to identify three different grades of human breast DCIS on label-free tissue samples, via high-resolution imaging of intraductal proliferation of tumor cells, intraductal necrosis, and ductal basement membranes.

Paper Details

Date Published: 20 December 2019
PDF: 6 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112092W (20 December 2019); doi: 10.1117/12.2548691
Show Author Affiliations
Zhong Chen, Fujian Normal Univ. (China)
Tingfeng Shen, Fujian Normal Univ. (China)
Liqin Zheng, Fujian Normal Univ. (China)
Deyong Kang, Fujian Medical Univ. (China)
Jianxin Chen, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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