Wang Ye, He Honghui, Chang Jintao, He Chao, Liu Shaoxiong, Li Migao, Zeng Nan, Wu Jian, Ma Hui
Tsinghua University, Graduate School at Shenzhen, Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, 2279 Lishui Street, Shenzhen 518055, ChinabTsinghua University, Department of Physics, 1 Tsinghu.
Tsinghua University, Graduate School at Shenzhen, Institute of Optical Imaging and Sensing, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, 2279 Lishui Street, Shenzhen 518055, China.
J Biomed Opt. 2016 Jul;21(7):71112. doi: 10.1117/1.JBO.21.7.071112.
Today the increasing cancer incidence rate is becoming one of the biggest threats to human health.Among all types of cancers, liver cancer ranks in the top five in both frequency and mortality rate all over the world. During the development of liver cancer, fibrosis often evolves as part of a healing process in response to liver damage, resulting in cirrhosis of liver tissues. In a previous study, we applied the Mueller matrix microscope to pathological liver tissue samples and found that both the Mueller matrix polar decomposition (MMPD) and Mueller matrix transformation (MMT) parameters are closely related to the fibrous microstructures. In this paper,we take this one step further to quantitatively facilitate the fibrosis detections and scorings of pathological liver tissue samples in different stages from cirrhosis to cancer using the Mueller matrix microscope. The experimental results of MMPD and MMT parameters for the fibrotic liver tissue samples in different stages are measured and analyzed. We also conduct Monte Carlo simulations based on the sphere birefringence model to examine in detail the influence of structural changes in different fibrosis stages on the imaging parameters. Both the experimental and simulated results indicate that the polarized light microscope and transformed Mueller matrix parameter scan provide additional quantitative information helpful for fibrosis detections and scorings of liver cirrhosis and cancers. Therefore, the polarized light microscope and transformed Mueller matrix parameters have a good application prospect in liver cancer diagnosis.
如今，癌症发病率的不断上升正成为对人类健康的最大威胁之一。在所有类型的癌症中，肝癌在全球的发病率和死亡率均位居前五。在肝癌发展过程中，纤维化常作为肝脏损伤愈合过程的一部分而演变，导致肝组织肝硬化。在之前的一项研究中，我们将穆勒矩阵显微镜应用于病理性肝组织样本，发现穆勒矩阵偏振分解（MMPD）和穆勒矩阵变换（MMT）参数均与纤维微结构密切相关。在本文中，我们更进一步，使用穆勒矩阵显微镜对从肝硬化到癌症不同阶段的病理性肝组织样本的纤维化检测和评分进行定量分析。对不同阶段纤维化肝组织样本的MMPD和MMT参数的实验结果进行了测量和分析。我们还基于球体双折射模型进行了蒙特卡罗模拟，以详细研究不同纤维化阶段的结构变化对成像参数的影响。实验和模拟结果均表明，偏振光显微镜和变换后的穆勒矩阵参数扫描提供了有助于肝硬化和癌症纤维化检测及评分的额外定量信息。因此，偏振光显微镜和变换后的穆勒矩阵参数在肝癌诊断中具有良好的应用前景。
