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Title:Multimodal multiphoton imaging for label-free monitoring of early gastric cancer
Author(s):Li, Lianhuang; Kang, Deyong; Huang, Zicheng; Zhan, Zhenlin; Feng, Changyin; Zhou, Yongjian; Tu, Haohua; Zhuo, Shuangmu; Chen, Jianxin
Subject(s):Early gastric cancer
Multiphoton imaging
Two-photon excited fluorescence
Second-harmonic generation
Abstract:

Background

Early gastric cancer is associated with a much better prognosis than advanced disease, and strategies to improve prognosis is strictly dependent on earlier detection and accurate diagnosis. Therefore, a label-free, non-invasive imaging technique that allows the precise identification of morphologic changes in early gastric cancer would be of considerable clinical interest.


Methods

In this study, multiphoton microscopy (MPM) using two-photon excited fluorescence combined with second-harmonic generation was used for the identification of early gastric cancer.


Results

This microscope was able to directly reveal improved cellular detail and stromal changes during the development of early gastric cancer. Furthermore, two features were quantified from MPM images to assess the cell change in size and stromal collagen change as gastric lesion developed from normal to early cancer.


Conclusions

These results clearly show that multiphoton microscopy can be used to examine early gastric cancer at the cellular level without the need for exogenous contrast agents. This study would be helpful for early diagnosis and treatment of gastric cancer, and may provide the groundwork for further exploration into the application of multiphoton microscopy in clinical practice.
Issue Date:2019-04-02
Publisher:Springer Nature
Citation Info:Li, L., Kang, D., Huang, Z., Zhan, Z., Feng, C., Zhou, Y., … Chen, J. (2019). Multimodal multiphoton imaging for label-free monitoring of early gastric cancer. BMC Cancer, 19(1), 295. https://doi.org/10.1186/s12885-019-5497-4
Series/Report:BMC Cancer; vol. 19, no. 295, April 2019
Genre:Article
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103427
DOI:https://doi.org/10.1186/s12885-019-5497-4
Rights Information:Copyright 2019 Lianhuang Li, Deyong Kang, Zicheng Huang, Zhenlin Zhan, Changyin Feng, Yongjian Zhou, Haohua Tu, Shuangmu Zhuo and Jianxin Chen
Date Available in IDEALS:2019-04-09


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