Liu Yi-Rong, He Hong-Hui, Wu Jian
School of Medicine, Tsinghua University, Beijing, China.
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Front Oncol. 2022 Apr 28;12:863682. doi: 10.3389/fonc.2022.863682. eCollection 2022.
As for optical techniques, it is difficult for the 5-aminolevulinic (5-ALA) fluorescence guidance technique to completely detect glioma due to residual cells in the blind area and the dead angle of vision under microscopy. The purpose of this research is to characterize different microstructural information and optical properties of formalin-soaked unstained glioblastoma (GBM) and non-GBM tissue with the polarization imaging technique (PIT), and provide a novel method to detect GBM during surgery. In this paper, a 3×3 Mueller matrix polarization experimental system in backscattering mode was built to detect the GBM and non-GBM tissue bulk. The Mueller matrix decomposition and transformation parameters of GBM and non-GBM tissue were calculated and analyzed, and showed that parameters (1- ) and are good indicators for distinguishing GBM from non-GBM tissues. Furthermore, the central moment coefficients (CMCs) of the frequency distribution histogram (FDH) were also calculated and used to distinguish the cancerous tissues. The results of the experiments confirmed the feasibility of PIT applied in the clinic to detect glioma, laying the foundation for the subsequent non-invasive, non-staining glioma detection.
至于光学技术，由于显微镜下盲区的残留细胞和视觉死角，5-氨基乙酰丙酸（5-ALA）荧光引导技术很难完全检测出胶质瘤。本研究的目的是利用偏振成像技术（PIT）表征福尔马林浸泡的未染色胶质母细胞瘤（GBM）和非GBM组织的不同微观结构信息和光学特性，并提供一种在手术中检测GBM的新方法。本文构建了一个3×3穆勒矩阵后向散射模式偏振实验系统，用于检测GBM和非GBM组织块。计算并分析了GBM和非GBM组织的穆勒矩阵分解和变换参数，结果表明参数（1- ）和 是区分GBM和非GBM组织的良好指标。此外，还计算了频率分布直方图（FDH）的中心矩系数（CMC），并用于区分癌组织。实验结果证实了PIT应用于临床检测胶质瘤的可行性，为后续无创、无染色胶质瘤检测奠定了基础。
