Application of SonoLiver software in contrast-enhanced ultrasound of thyroid tumors

FU Yu; ZHANG Yuan; JIANG Quan; ZHANG Yunxiao; CHEN Jian; ZHENG Yijun; GU Xiaoming

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Application of SonoLiver software in contrast-enhanced ultrasound of thyroid tumors

更新时间：2026-06-18

- Application of SonoLiver software in contrast-enhanced ultrasound of thyroid tumors
- Vol. 26, Issue 5, Pages: 337-340(2017)
- 作者机构：
  
  1. 上海市浦东新区人民医院超声科,上海,201200
  2. 上海市浦东新区人民医院统计室,上海,201200
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：08 December 2017，
  
  Published：08 December 2017
- 稿件说明：
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傅宇,张渊,江泉,等. SonoLiver软件参数成像在甲状腺肿瘤超声造影中的应用研究[J]. 肿瘤影像学, 2017, 26(5): 337-340
DOI：

傅宇,张渊,江泉,等. SonoLiver软件参数成像在甲状腺肿瘤超声造影中的应用研究[J]. 肿瘤影像学, 2017, 26(5): 337-340 DOI：

摘要

目的：

探讨SonoLiver软件在甲状腺肿瘤超声造影中的临床应用价值。

方法：

对158例甲状腺肿块(恶性88例、良性70例)行超声造影检查，应用SonoLiver定量软件对其进行定量分析，并以病灶与周围甲状腺组织的增强水平差值为参数，进行动态血管模型(dynamic vascular pattern，DVP)参数成像，比较甲状腺良恶性肿瘤各参数及DVP参数图有无差异。

结果：

甲状腺恶性肿瘤的相对峰值强度(maximum intensity，Imax)显著高于良性肿瘤(

＜0.05)，恶性肿瘤的相对上升时间(rising time，RT)、达峰时间(time to peak，TTP)快于良性肿瘤，相对平均渡越时间(mean transit time，mTT)慢于良性肿瘤，差异均有统计学意义(

＜0.05)。甲状腺良恶性肿瘤的DVP参数图有显著性差异，72例(81.8%)恶性肿瘤表现为病灶感兴趣区内大部分呈紊乱不规则团块状或分散的斑片状红色/黄色填充；59例(84.3%)良性肿瘤表现为病灶感兴趣区内大部分呈较单一的红色或黄色填充。

结论：

SonoLiver造影分析软件获得的定量参数和构建的DVP参数图可为甲状腺肿瘤的诊断提供有价值的信息。

Abstract

Objective:

To investigate the value of SonoLiver software in contrast-enhanced ultrasound (CEUS) of thyroid tumors.

Methods:

A total of 158 cases of thyroid tumor (88 malignant

70 benign) underwent CEUS. SonoLiver software was used to quantitatively analyze the CEUS and reconstructed dynamic vascular pattern (DVP) parametric images.

Results:

The relative maximum intensity (Imax) of malignant thyroid tumors were significantly higher than that of benign lesions (

0.05). The relative rising time (RT)

time to p

eak (TTP) of malignant lesions were shorter than those of benign lesions

and the relative mean transit time (mTT) of malignant lesions was longher than that of benign lesions. The differences were statistically significant (

0.05). DVP parametric images of benign and malignant tumors were significantly different. There were 72 malignant lesions (81.8%) filled with confused and irregular or patchy red/yellow

and 59 benign lesions (84.3%) filled with single red/yellow.

Conclusion:

The quantitative parameters and DVP parametric images provided by SonoLiver software are valuable for the diagnosis of thyroid tumors.

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