Differential diagnosis of thyroid nodules with US elastography using carotid artery pulsation

被引:133
作者
Dighe, Manjiri [1 ]
Bae, Unmin [2 ]
Richardson, Michael L. [1 ]
Dubinsky, Theodore J. [1 ]
Minoshima, Satoshi [1 ]
Kim, Yongmin [3 ]
机构
[1] Univ Washington, Med Ctr, Dept Radiol, Seattle, WA 98195 USA
[2] Univ Washington, Med Ctr, Dept Elect Engn, Seattle, WA 98195 USA
[3] Univ Washington, Med Ctr, Dept Bioengn, Seattle, WA 98195 USA
关键词
D O I
10.1148/radiol.2482071758
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To explore the sensitivity and specificity of ultrasonographic (US) elastography using carotid arterial pulsation as the compression source for differential diagnosis of thyroid nodules. Materials and Methods: This HIPAA-compliant study was approved by the ethics committee of the institution, and all patients provided written informed consent. Fifty-eight patients (13 men and 45 women [mean age, 51 years; range, 20-76 years]) were enrolled. A short US examination and elastography with pulsation of the carotid artery used as the thyroid compression source were performed before fine-needle aspiration. Baseband US data were downloaded for off-line analysis. Elastographic maps and the thyroid stiffness index were calculated. The Kruskal-Wallis nonparametric rank sum test was used to assess equality of population medians among the different types of thyroid nodules; the R software environment was used for statistical computing and graphics (http://www.r-project.org/). Results: Thyroid stiffness index calculated with elastography using carotid arterial pulsation as the compression source was effective in helping distinguish between papillary carcinomas (n = 10) and other lesions (n = 43) because papillary carcinomas were stiffer than other lesions (P < .0039). Conclusion: It is possible to distinguish between papillary carcinomas and other lesions with the thyroid stiffness index calculated from US elastography using carotid arterial pulsation. (C) RSNA, 2008.
引用
收藏
页码:662 / 669
页数:8
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