Application of ultrasound elasticity contrast index in differential diagnosis of thyroid nodules

SUN Peixuan; TONG Yuyang; SU Lei; DU Xiaoying; GUO Jie; SUN Yixue

您当前的位置：

首页 >

文章列表页 >

Application of ultrasound elasticity contrast index in differential diagnosis of thyroid nodules

更新时间：2025-12-15

- Application of ultrasound elasticity contrast index in differential diagnosis of thyroid nodules
- Vol. 27, Issue 2, Pages: 92-96(2018)
- 作者机构：
  
  1. 蚌埠医学院附属第一医院功能科,安徽,蚌埠,233004
  2. 复旦大学附属肿瘤医院超声科，复旦大学上海医学院肿瘤学系,上海,200032
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：16 May 2018，
  
  Published：16 May 2018
- 稿件说明：
移动端阅览
孙佩璇,童宇洋,苏蕾,等. 超声弹性对比指数在甲状腺结节鉴别诊断中的应用[J]. 肿瘤影像学, 2018, 27(2): 92-96
DOI：

孙佩璇,童宇洋,苏蕾,等. 超声弹性对比指数在甲状腺结节鉴别诊断中的应用[J]. 肿瘤影像学, 2018, 27(2): 92-96 DOI：

摘要

目的：

探讨超声弹性对比指数（elasticity contrast index，ECI）在甲状腺结节鉴别诊断中的应用价值。

方法：

选取甲状腺结节患者85例共120个结节，行高分辨率超声检查，记录结节的二维超声特征及结节距颈动脉的距离，并行弹性成像检查（记录ECI值），以手术病理结果为金标准，绘制ECI诊断甲状腺良恶性结节的受试者工作特征（receiver operating characteristic，ROC）曲线。

结果：

120个结节中，恶性结节65个，良性结节55个，恶性结节的ECI值（3.541.23）显著高于良性结节的ECI值（2.651.98），差异有统计学意义（

0.01）。ECI鉴别甲状腺结节良恶性的最佳临界值为2.90。钙化组结节的ECI值（3.501.55）显著高于无钙化组结节的ECI值（2.451.23），差异有统计学意义（

0.01），但两组组内良恶性结节的ECI值差异均无统计学意义。所有结节和恶性结节的ECI值与结节距颈动脉的距离显著相关，相关系数分别为0.298和0.397，差异有统计学意义（

0.001）。ECI值对距离颈动脉10 mm的恶性结节的诊断效能优于距离颈动脉10 mm的恶性结节。

结论：

ECI在甲状腺结节的良恶性鉴别诊断中具有一定价值，可作为常规超声的重要补充。

Abstract

Objective:

To investigate the value of ultrasound elasticity contrast index (ECI) in the differential diagnosis of thyroid nodules.

Methods:

A total of 85 patients with 120 thyroid nodules were examined with high resolution ultrasonography. Two-dimensional ultrasonographic features and distance to the carotid artery were recorded

and elastography was performed. The receiver operating characteristic (ROC) curve of ECI for differential diagnosis of benign and malignant thyroid nodules was

drawn with the surgical pathology as the gold standard.

Results:

Of the 120 nodules

65 were malignant and 55 were benign. The ECI value of malignant nodules was significantly higher than that of benign nodules (

0.01). The optimal cutoff value of ECI in differentiating benign and malignant thyroid nodules was 2.90. The ECI value in calcification group was significantly higher than that in non-calcification group (

0.01)

but no statistically significant difference was found between benign and malignant nodules within the two groups. The ECI values of all nodules and malignant nodules were closely related to the distance to the carotid artery

with the correlation coefficient of 0.298 and 0.397

respectively (

0.001). The diagnostic performance of ECI was superior in malignant nodules with distance to the carotid artery 10 mm than those with distance to the carotid artery 10 mm.

Conclusion:

ECI has certain values in the differential diagnosis of benign and malignant thyroid nodules and provides an important supplement to conventional ultrasound.

关键词

Keywords

references

Views

1862

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Analysis of thyroid nodules by contrast-enhanced ultrasound

Application of elastic sonography scoring method in differential diagnosis of benign and malignant thyroid nodules

Multivariate analysis of ultrasonographic characteristics for differentiating benign and malignant BethesdaⅢ category thyroid nodules

The diagnostic value of conventional MRI in borderline ovarian tumor

One case: chondromyxoid fibroma of the rib in children

Related Author

OU Shengsheng

LI Jie

WU Xinping

LUAN Yun

WU Yiyun

XU Huaning

SONG Xuguang

CAI Ting

Related Institution

Department of Ultrasound, Jinling Clinical Medical College, Nanjing Medical University, General Hospital of the Eastern Theater of the Chinese People's Liberation Army

Department of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Radiology, Obstetrics & Gynecology Hospital, Fudan University

Department of Pathology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

AI问答

⁰