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VsN,一种用于超声弹性成像的剪切波测量的可靠性指数,对甲状腺肿瘤良恶性的诊断有帮助。

VsN, a Reliability-index of Shear-wave Measurement in Sonoelastography, Is Useful for the Diagnosis of Thyroid Tumor Malignancy.

机构信息

Department of Endocrine Surgery, Nippon Medical School, Tokyo, Japan.

Laboratory of Biological Macromolecules, Department of Applied Life Sciences, Graduate School of Life & Environmental Sciences, Osaka Prefecture University, Osaka, Japan.

出版信息

In Vivo. 2022 Jan-Feb;36(1):264-273. doi: 10.21873/invivo.12700.

Abstract

BACKGROUND/AIM: Shear wave measurement (SWM) is a new elastography modality that quantifies the shear wave velocity (Vs) and the percentage of the net effective shear wave velocity (VsN). This study examined whether these parameters could be used to differentiate between malignant and benign thyroid tumors.

PATIENTS AND METHODS

The study of SWM enrolled 111 patients (133 nodules) who underwent thyroid surgery. Overall, 61 nodules were diagnosed as benign and 72 as malignant, of which 68 nodules were diagnosed as papillary thyroid carcinoma (PTC) and 4 as follicular thyroid carcinoma (FTC).

RESULTS

A preoperative SWM revealed that Vs was significantly higher and VsN significantly lower in the PTC compared to the benign nodules. The VsN of FTC was significantly lower than that of follicular adenoma. Multivariate analysis revealed that VsN significantly correlated with nodule malignancy.

CONCLUSION

SWM parameters, especially VsN, can potentially differentiate between benign and malignant thyroid nodules non-invasively.

摘要

背景/目的:剪切波测量(SWM)是一种新的弹性成像方式,可定量测量剪切波速度(Vs)和净有效剪切波速度的百分比(VsN)。本研究旨在探讨这些参数是否可用于区分良恶性甲状腺肿瘤。

患者与方法

本 SWM 研究共纳入 111 例(133 个结节)接受甲状腺手术的患者。总体而言,61 个结节被诊断为良性,72 个为恶性,其中 68 个被诊断为甲状腺乳头状癌(PTC),4 个为滤泡状甲状腺癌(FTC)。

结果

术前 SWM 显示,PTC 的 Vs 明显高于良性结节,VsN 明显低于良性结节。FTC 的 VsN 明显低于滤泡性腺瘤。多变量分析显示,VsN 与结节恶性程度显著相关。

结论

SWM 参数,特别是 VsN,可潜在地无创性地区分良恶性甲状腺结节。

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本文引用的文献

1
Optimized algorithm in solid thyroid nodule elastography.实性甲状腺结节弹性成像中的优化算法
Oncol Lett. 2020 Nov;20(5):248. doi: 10.3892/ol.2020.12111. Epub 2020 Sep 16.
10

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