甲状腺乳头状癌中超声造影特征与微血管密度的相关性

Correlation of contrast-enhanced ultrasonographic features with microvessel density in papillary thyroid carcinomas.

作者信息

Zhou Qi, Jiang Jue, Shang Xu, Zhang Hong-Li, Ma Wen-Qi, Xu Yong-Bo, Wang Hua, Li Miao

机构信息

Department of Ultrasound, the Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, Shaanxi, China E-mail :

出版信息

Asian Pac J Cancer Prev. 2014;15(17):7449-52. doi: 10.7314/apjcp.2014.15.17.7449.

DOI:10.7314/apjcp.2014.15.17.7449

PMID:25227857

Abstract

BACKGROUND

The purpose of this study was to investigate the correlation of contrast-enhanced ultrasonographic (CEUS) features with microvessel density (MVD) in papillary thyroid carcinomas (PTCs).

MATERIALS AND METHODS

Contrast-enhanced ultrasonography (CEUS) was performed in 62 patients (17 men and 45 women) with PTC. Tomtec software was applied to analyze the time intensity curve of CEUS. Immunohistochemistry was performed to evaluate the level of MVD in papillary thyroid carcinoma. Then the relationship between quantitative feature and the level of MVD was analyzed using SPSS 16.0 software.

RESULTS

The mean peak intensity of PTC tissues was lower than that of peripheral thyroid parenchyma (61.9 ± 11.8% vs 100%, p < 0.05). The MVDs of CD34 and CD31 antibodies staining were 38.0 ± 6.1 and 37.9 ± 5.1 respectively in 62 PTC samples. A significantly positive correlation was observed between peak intensity and MVD in PTC tissues (PCD34 < 0.01, rCD34 = 0.838, PCD31 < 0.01, rCD31 = 0.837).

CONCLUSIONS

The peak intensity in CEUS could reflect the MVD in PTC tissues. Therefore, quantification of CEUS seems to be helpful for assessment of MVD in PTC tissues.

摘要

背景

本研究旨在探讨甲状腺乳头状癌（PTC）中超声造影（CEUS）特征与微血管密度（MVD）之间的相关性。

材料与方法

对62例PTC患者（17例男性，45例女性）进行超声造影检查。应用Tomtec软件分析CEUS的时间强度曲线。采用免疫组织化学法评估甲状腺乳头状癌中MVD的水平。然后使用SPSS 16.0软件分析定量特征与MVD水平之间的关系。

结果

PTC组织的平均峰值强度低于甲状腺周围实质（61.9±11.8%对100%，p<0.05）。62例PTC样本中，CD34和CD31抗体染色的MVD分别为38.0±6.1和37.9±5.1。PTC组织中峰值强度与MVD之间存在显著正相关（PCD34<0.01，rCD34 = 0.838，PCD31<0.01，rCD31 = 0.837）。