海南医学院学报2017，Vol.23Issue(6)：813-815,819,4.DOI:10.13210/j.cnki.jhmu.20161223.006
甲状腺癌超声血管化指数、血流指数与肿瘤恶性程度的相关关系
The correlation of vascularization index and flow index of thyroid cancer ultrasound with tumor malignancy
摘要
Abstract
Objective:To study the correlation of ultrasound vascularization index and flow index of thyroid cancer with tumor malignancy.Methods:140 patients with thyroid nodule who accepted surgical resection in our hospital between May 2013 and June 2016 were selected as the research subjects,the patients with malignant thyroid nodule were included in the malignant group of the research and patients with benign thyroid nodule were included in the benign group of research.Three-dimensional power Doppler ultrasonography was conducted before operation to determine vascularization index (VI),flow index (FI) and vascularization flow index (VFI);tumor tissues were collected after operation to detect the expression of angiogenesis as well as cell proliferation,apoptosis and invasion-related molecules.Results:VI,FI and VFI levels of tumor tissue of malignant group were significantly higher than those of benign group;VEGF,MK,Ang-2,IGF-II,Bcl-2,Livin,Wip1,S100A4,TCF,β-catenin and SATB1 protein expression in tumor tissue of malignant group were significantly higher than those of benign group and positively correlated with VI,FI and VFI levels while CCNG2 and p27 protein expression were significantly lower than those of benign group and negatively correlated with VI,FI and VFI levels.Conclusion:Ultrasound vascularization index and flow index of thyroid cancer increase significantly and are closely related to the angiogenesis as well as cell proliferation,apoptosis and invasion.关键词
甲状腺癌/三维能量多普勒超声/血管新生/增殖/凋亡/侵袭Key words
Thyroid cancer/Three-dimensional power Doppler ultrasound/Angiogenesis/Proliferation/Apoptosis/Invasion分类
医药卫生引用本文复制引用
廖冰,曾凡,黎玲,洪琼..甲状腺癌超声血管化指数、血流指数与肿瘤恶性程度的相关关系[J].海南医学院学报,2017,23(6):813-815,819,4.基金项目
This study was supported by Hubei provincial science and technology project (grant No.EK110126) （grant No.EK110126）
湖北省科学技术厅项目(EK110126) （EK110126）
