Retrospective Evaluation of Ultrasound Features of Thyroid Nodules to Assess Malignancy Risk: A Step Toward TIRADS

Zayadeen Adnan R.; Abu-Yousef Monzer; Berbaum Kevin

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Retrospective Evaluation of Ultrasound Features of Thyroid Nodules to Assess Malignancy Risk: A Step Toward TIRADS

机译：甲状腺结节超声特征的回顾性评估以评估恶性风险：迈向TIRADS的一步

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摘要

OBJECTIVE. The aim of this retrospective study was to develop a thyroid nodule scoring system for malignancy potential to better select nodules for ultrasound (US)-guided fine needle aspiration (FNA).

机译：目的。这项回顾性研究的目的是开发一种针对恶性肿瘤的甲状腺结节评分系统，以更好地选择超声（US）引导的细针穿刺（FNA）结节。

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《AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences》 |2016年第3期|共10页
作者
Zayadeen Adnan R.; Abu-Yousef Monzer; Berbaum Kevin;
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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
thyroid; TIRADS; ultrasound;

机译：甲状腺;TIRADS;超声;

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1. Retrospective Evaluation of Ultrasound Features of Thyroid Nodules to Assess Malignancy Risk: A Step Toward TIRADS [J] . Zayadeen Adnan R., Abu-Yousef Monzer, Berbaum Kevin AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences . 2016,第3期

机译：甲状腺结节超声特征的回顾性评估以评估恶性风险：迈向TIRADS的一步
2. Risk factors stratifying malignancy of nodules in contralateral thyroid lobe in patients with pre‐operative ultrasound indicated unilateral papillary thyroid carcinoma: A retrospective analysis from single centre [J] . Lv Tian, Zhu Changbin, Di Zhongmin Clinical Endocrinology . 2018,第2期

机译：危险因素对对侧甲状腺叶中结节性结节的恶性因素，术前超声波表明单侧乳头状甲状腺癌：单中心回顾性分析
3. Thyroid nodule sizes influence the diagnostic performance of TIRADS and ultrasound patterns of 2015 ATA guidelines: a multicenter retrospective study [J] . Ting Xu, Jing-yu Gu, Xin-hua Ye, Scientific reports. . 2017,第1期

机译：甲状腺结节大小影响2015年ata指南的Tirads和超声模式的诊断性能：多中心回顾性研究
4. Machine Learning Based Malignancy Prediction in Thyroid Nodules Malignancy: Radiomics Analysis of Ultrasound Images [C] . Sajad P. Shayesteh, Mostafa Nazari, Ali Salahshour, IEEE Nuclear Science Symposium;Medical Imaging Conference . 2020

机译：基于机器学习的甲状腺结节恶性肿瘤恶性肿瘤：超声图像辐射瘤分析
5. Predictive value of some ultrasound characteristics of thyroid nodules by using a mathematical model for analyzing ultrasound images. [D] . Glogovsek, Martin. 2016

机译：通过使用数学模型分析超声图像，可预测甲状腺结节某些超声特征的价值。
6. European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS [O] . Gilles Russ, Steen J. Bonnema, Murat Faik Erdogan, 2017

机译：欧洲甲状腺协会成人甲状腺结节的超声恶性肿瘤危险分层指南：EU-TIRADS
7. European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults:The EU-TIRADS [O] . Russ, Gilles, Bonnema, Steen J, Erdogan, Murat Faik, 2017

机译：欧洲甲状腺协会成人甲状腺结节的超声恶性肿瘤危险分层指南：EU-TIRADS

Retrospective Evaluation of Ultrasound Features of Thyroid Nodules to Assess Malignancy Risk: A Step Toward TIRADS

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