Correlation Between Maximum Intensity and Microvessel Density for Differentiation of Malignant From Benign Thyroid Nodules on Contrast-Enhanced Sonography

Jiang Jue; Shang Xu; Zhang Hongli; Ma Wenqi; Xu Yongbo; Zhou Qi; Gao Ya; Yu Shanshan; Qi Yanhua

首页> 外文期刊>Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine >Correlation Between Maximum Intensity and Microvessel Density for Differentiation of Malignant From Benign Thyroid Nodules on Contrast-Enhanced Sonography

【24h】

Correlation Between Maximum Intensity and Microvessel Density for Differentiation of Malignant From Benign Thyroid Nodules on Contrast-Enhanced Sonography

机译：超声造影对良性甲状腺结节恶性分化的最大强度与微血管密度的相关性

获取原文

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The purpose of this study was to retrospectively evaluate contrast-enhanced sonography for differentiation of benign and malignant thyroid nodules by analyzing the correlation between maximum intensity and microvessel density.

机译：本研究的目的是通过分析最大强度与微血管密度之间的相关性，回顾性评估超声造影对甲状腺良恶性结节的鉴别作用。

著录项

来源
《Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine》 |2014年第7期|共7页
作者
Jiang Jue; Shang Xu; Zhang Hongli; Ma Wenqi; Xu Yongbo; Zhou Qi; Gao Ya; Yu Shanshan; Qi Yanhua;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种
中图分类诊断学;
关键词
benign and malignant thyroid nodulescontrast‐enhanced sonographymaximum intensitymicrovessel densitysuperficial structures;

机译：甲状腺良恶性结节对比超声检查最大强度微血管密度浅表结构;

相似文献

外文文献
中文文献
专利

1. Contrast-Enhanced Sonography for the Identification of Benign and Malignant Thyroid Nodules: Systematic Review and Meta-Analysis [J] . Ma Xuelei, Zhang Binglan, Ling Wenwu, Journal of Clinical Ultrasound: JCU . 2016,第4期

机译：超声造影对良性和恶性甲状腺结节的识别：系统评价和荟萃分析
2. Diagnostic accuracy of the combined use of conventional sonography and sonoelastography in differentiating benign and malignant solitary thyroid nodules [J] . Ahmad Hafez Afifi, Walid Abdel Halim Abo Alwafa, Wael Mohamad Aly, Alexandria Journal of Medicine . 2017,第1期

机译：常规超声检查与超声弹性检查相结合对鉴别良性和恶性孤立性甲状腺结节的诊断准确性
3. To differentiate benign from malignant thyroid nodule comparison of sonography with FNAC findings [J] . Mehrali Rahimi, Nazanin Farshchian, Eilkhan Rezaee, Pakistan journal of medical sciences. . 2013,第1期

机译：超声检查与FNAC结果的区别以区分甲状腺良恶性结节
4. Deep learning radiomics for non-invasive diagnosis of benign and malignant thyroid nodules using ultrasound images [C] . Hui Zhou, Kun Wang, Jie Tian Conference on Medical Imaging: Ultrasonic Imaging and Tomography . 2020

机译：使用超声图像的非侵入性诊断的深度学习辐射诊断
5. Differentiating benign and malignant inflammatory breast lesions: Value of T2 weighted and diffusion weighted MR images [D] . Kanao, Shotaro 2019

机译：区分乳腺良性和恶性炎症病变：T2加权和弥散加权MR图像的价值
6. To differentiate benign from malignant thyroid nodule comparison of sonography with FNAC findings [O] . Mehrali Rahimi, Nazanin Farshchian, Eilkhan Rezaee, 2013

机译：超声检查与FNAC结果的区别以区分甲状腺良恶性结节
7. Diagnostic accuracy of the combined use of conventional sonography and sonoelastography in differentiating benign and malignant solitary thyroid nodules [O] . Ahmad Hafez Afifi, Walid Abdel Halim Abo Alwafa, Wael Mohamad Aly, 2017

机译：常规超声和袖状成像联合应用对鉴别良恶性孤立性甲状腺结节的诊断准确性

相关主题

Correlation Between Maximum Intensity and Microvessel Density for Differentiation of Malignant From Benign Thyroid Nodules on Contrast-Enhanced Sonography

摘要

著录项

相似文献

相关主题

期刊订阅