Sickles EA, D’Orsi CJ, Bassett LW et al (2013) ACR BI-RADS® Mammography. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston, VAMendelson EB, Böhm-Vélez M, Berg WA et al (2013) ACR BI-RADS® Ultrasound.ACR BI-RADS®...
ACR-TIRADS、韩国甲状腺影像报告和数据系统(K-TIRADS)是我国使用较为广泛的风险分层模型,本研究拟比较这两种风险分型模型对甲状腺结节良恶性的鉴别诊断效能及能够减少的不必要穿刺,为临床提供参考。
Fifth Edition is an extension of the Fourth Edition of the BI-RADS ® Atlas and is the culmination of years of collaborative efforts between the subsection heads and their committees, the American College of Radiology, and, importantly, input from users of these lexicons. It is designed for...
目的评价Kwak与ACR(2017)甲状腺影像报告和数据系统(TI-RADS)对甲状腺结节的诊断效能。 方法收集2015年1月至2018年3月的甲状腺结节手术病例,高年资超声医师经过培训后,分别以Kwak和ACR TI-RADS分类方法回顾性分析甲状腺结节的超声征象。观察甲状腺结节12 712个,最终超声和手术病理资料完整的7 023例患者的7 023个结节纳...
关键词 甲状腺结节; 超声诊断; TI-RADS分类; VTQ; 引文网络 参考文献 引证文献 共引文献 同被引文献 二级参考文献 二级引证文献 1. 声触诊组织成像量化技术联合C-TIRADS与K-TIRADS对甲状腺结节的诊断效能比较[J].董洪伟;苗重昌;杜丰;李玉芹,中南医学科学杂志.2023,第5期 2. 声脉冲弹性成像(ARFI...
UltrasoundMRIBI-RADSThe definition of a non-mass lesion on breast ultrasound (US) is designed for everyday practice to provide unambiguous clinical management and to assist physicians and sonographers as they interpret breast US images. The field of breast imaging research requires consistent and ...
To calculate the positive predictive value of biopsies performed (PPV3) of the Ultrasound section of the American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS US) atlas categories 4 and 5 in different age groups and to determine whether patient age influences the ...
Background: Explore the feasibility of using the multimodal ultrasound (US) radiomics technology to diagnose American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) 4-5 thyroid nodules.Method: This study prospectively collected the clinical characteristics, conventional, ...
7642 A Mixed Model of Clinical Characteristics and Ultrasound ACR-TIRADS Predicts Malignancy in Thyroid Micro Lesionsdoi:10.1210/jendso/bvae163.1854Disclosure: N. Angelopoulos: None. I. Iakovou: None. D. Goulis: None. R. Paparodis: None. S. Livadas: None. A. Boniakos: None. J.C. Jaume...
分析不同大小MTC组间超声特征,TI-RADS分类,血清CT和CEA以及颈部淋巴结转移等的差异.结果:对52个MTC结节进行TI-RADS分类,46.2%(24/52)归为5类,46.2%(24/52)归为4类,5.8%(3/52)归为3类,1.9%(1/52)归为2类.52个结节中,17个为小结节组,35个为大结节组.小结节组与大结节组...