Literature DB >> 30820774

Label-free detection of residual breast cancer after neoadjuvant chemotherapy using biomedical multiphoton microscopy.

Zhonghua Han1, Lianhuang Li2, Deyong Kang3, Zhenlin Zhan4, Haohua Tu5, Chuan Wang1, Jianxin Chen4.   

Abstract

Neoadjuvant chemotherapy has become a standard treatment for breast cancer as it has been shown to increase the rate of breast preservation and to improve outcome in patients. However, how to accurately detect residual tumors is still a challenge. In this work, we tried to use multiphoton imaging to look for residual breast tumors after preoperative therapy. Imaging results demonstrate that multiphoton microscopy can identify remaining tumor tissues and can even detect rarely residual tumor cells, which would be helpful for surgeons to accurately assess the surgical margin in real time to confirm negative margins during operation. We also performed a quantification analysis of the nuclear area of tumor cells before and after treatment with neoadjuvant chemotherapy. The measurement data show that the tumor cell nuclei after chemotherapy are significantly larger than those without treatment, and there is a statistically significant difference in the nuclear areas between the pre-treatment and post-treatment mammary carcinoma. Our pilot study indicates the potential utility of multiphoton imaging for detecting residual breast carcinoma tissues in fresh, ex vivo specimens without the use of exogenous contrast agents. We foresee real-time intraoperative applications of multiphoton microscopy in evaluating therapy response, and thereby helping clinicians develop individualized treatment plans.

Entities:  

Keywords:  Breast cancer; Multiphoton microscopy; Neoadjuvant chemotherapy

Mesh:

Year:  2019        PMID: 30820774     DOI: 10.1007/s10103-019-02754-z

Source DB:  PubMed          Journal:  Lasers Med Sci        ISSN: 0268-8921            Impact factor:   3.161


  1 in total

1.  Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma.

Authors:  Lianhuang Li; Zhonghua Han; Lida Qiu; Deyong Kang; Zhenlin Zhan; Haohua Tu; Jianxin Chen
Journal:  Int J Biol Sci       Date:  2020-02-21       Impact factor: 6.580

  1 in total

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