Department of Respiratory, The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300000, China.
Department of Respiratory, Graduate School of Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Comput Math Methods Med. 2022 Jun 3;2022:1986647. doi: 10.1155/2022/1986647. eCollection 2022.
The objective of this research was to explore the effect of the treatment regimen of Spiriva combined with Symbicort on the immune function of non-small-cell lung cancer (NSCLC) based on computed tomography (CT) imaging features. An automatic CT image segmentation algorithm (RW-CT) was constructed based on random walk (RW) and image segmentation technology. The image segmentation algorithm based on the Toboggan method (C-CT) was introduced to compare with the traditional RW algorithm. 60 subjects were divided into four groups: a Chinese combined with Western medicine group (treated with Spiriva combined with Symbicort, group C+W), a Chinese medicine group (treated with Spiriva, group C), a Western medicine group (treated with Symbicort, group W), and a model group for control (group M). The results show that the Dice coefficient of the RW-CT algorithm was obviously larger than that of the C-CT algorithm and the RW algorithm, while the Hausdorff distance (HD) of the RW-CT algorithm was much smaller than that of the other two algorithms ( < 0.05). The proportion of positive cells of hypoxia-inducible factor-1 (HIF-1) in group C+W was the least (15%-23%), followed by the group W (21%-29%) and the group C (28%-37%), and that in the group M was the highest (39%-49%). There was a remarkable difference in the immunohistochemical scores (HIS) of vascular endothelial growth factor (VEGF) in the tumor tissues between group C+W and the group M ( = 14.200, = 0.001), but there was no great difference from the group C and the group W ( > 0.05). There was a notable difference in the IHS of vascular endothelial factor recepto-2 (VEGFR-2) between the group C+W medication group and the group M ( = 12.800, = 0.002), and there was no statistical difference between the group C and W ( > 0.05). In short, the RW-CT constructed based on RW was better than the traditional algorithms for CT image segmentation. The Spiriva combined with Symbicort could effectively inhibit the expression of VEGF, VEGFR-2, and HIF-1 in NSCLC and promote the immunologic function of the body.
本研究旨在通过计算机断层扫描（CT）成像特征探索思力华联合信必可对非小细胞肺癌（NSCLC）患者免疫功能的影响。基于随机游走（RW）和图像分割技术构建了一种自动 CT 图像分割算法（RW-CT）。引入基于雪橇法（C-CT）的图像分割算法与传统 RW 算法进行比较。将 60 名受试者分为四组：中西药结合组（思力华联合信必可治疗，C+W 组）、中药组（思力华治疗，C 组）、西药组（信必可治疗，W 组）和模型组（M 组）。结果表明，RW-CT 算法的 Dice 系数明显大于 C-CT 算法和 RW 算法，而 RW-CT 算法的 Hausdorff 距离（HD）明显小于其他两种算法（<0.05）。C+W 组缺氧诱导因子-1（HIF-1）阳性细胞比例最低（15%-23%），其次为 W 组（21%-29%）和 C 组（28%-37%），M 组最高（39%-49%）。C+W 组肿瘤组织血管内皮生长因子（VEGF）免疫组化评分（HIS）与 M 组差异有统计学意义（=14.200，=0.001），与 C 组和 W 组差异无统计学意义（>0.05）。C+W 组药物组血管内皮因子受体-2（VEGFR-2）IHS 与 M 组差异有统计学意义（=12.800，=0.002），与 C 组和 W 组差异无统计学意义（>0.05）。总之，基于 RW 构建的 RW-CT 算法优于传统 CT 图像分割算法。思力华联合信必可可有效抑制 NSCLC 中 VEGF、VEGFR-2 和 HIF-1 的表达，促进机体免疫功能。
