Identification of specific histological characteristics of glioblastoma based on multiphoton microscopy

Zhida Chen; Xiaomin Huang; Xingfu Wang; Deyong Kang; Yuanxiang Lin; Zanyi Wu; Shu Wang; Na Fang; Jianxin Chen

doi:10.1117/12.2505946

15 November 2018 Identification of specific histological characteristics of glioblastoma based on multiphoton microscopy

Zhida Chen, Xiaomin Huang, Xingfu Wang, Deyong Kang, Yuanxiang Lin, Zanyi Wu, Shu Wang, Na Fang, Jianxin Chen

Author Affiliations +

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109643G (2018) https://doi.org/10.1117/12.2505946
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

Glioblastoma (GBM) is a highly malignant and rapidly invasive astrocytoma, which has explosive biologic properties with rapid clinical progression leading to death and has a poor clinical outcome. The average survival time of most patients is only 12 to 15 months. GBM is distinguished pathologically from lower grade tumors by ‘pseudopalisading’ necrosis and microvascular hyperplasia. The most exaggerated form of microvascular hyperplasia is called glomeruloid body. MPM is a potential tool for imaging biological tissues at the molecular level. In this paper, MPM based on twophoton excited fluorescence (TPEF) and second harmonic generation (SHG) was applied for identifying the GBM without labeling or fluorescent markers. The results showed that MPM can display the specific histological characteristics of GBM including ‘pseudopalisading’ necrosis and glomeruloid vascular proliferation. The results obtained are consistent with the diagnosis of pathological findings. MPM will become a promising imaging tool for preoperative diagnosis of glioblastoma in the future.

Citation Download Citation

Zhida Chen, Xiaomin Huang, Xingfu Wang, Deyong Kang, Yuanxiang Lin, Zanyi Wu, Shu Wang, Na Fang, and Jianxin Chen "Identification of specific histological characteristics of glioblastoma based on multiphoton microscopy", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109643G (15 November 2018); https://doi.org/10.1117/12.2505946

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KEYWORDS

Second-harmonic generation

Tissues

Multiphoton microscopy

Tumors

Microscopes

Pathology

Brain

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