3 Tesla Apparent Diffusion Coefficient (ADC) Values of Thyroid Nodules: Prediction of Benignancy and Malignancy

Bayraktaroglu Selen; Ozturk Pinar Karakan; Ceylan Naim; Makay Ozer; Icoz Gokhan; Ertan Yesim

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3 Tesla Apparent Diffusion Coefficient (ADC) Values of Thyroid Nodules: Prediction of Benignancy and Malignancy

机译：3特斯拉表观扩散系数（ADC）甲状腺结节的值：良性和恶性肿瘤的预测

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Background: High field strength magnets have the potential to provide good quality diffusion weighted imaging (DWI) sequence images and apparent diffusion coefficient (ADC) maps can give important data for differential diagnosis of thyroid nodules.

机译：背景：高场强磁体具有提供良好的质量扩散加权成像（DWI）序列图像和表观扩散系数（ADC）地图可以为甲状腺结节的差异诊断提供重要数据。

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来源
《Annals of the American Thoracic Society》 |2019年第3期|共10页
作者
Bayraktaroglu Selen; Ozturk Pinar Karakan; Ceylan Naim; Makay Ozer; Icoz Gokhan; Ertan Yesim;
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作者单位

Ege Univ Hosp Dept Radiol Izmir Turkey;

Manisa State Hosp Dept Radiol Manisa Turkey;

Ege Univ Hosp Dept Radiol Izmir Turkey;

Ege Univ Hosp Dept Gen Surg Izmir Turkey;

Ege Univ Hosp Dept Gen Surg Izmir Turkey;

Ege Univ Hosp Dept Pathol Izmir Turkey;

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原文格式 PDF
正文语种 eng
中图分类呼吸系及胸部疾病;
关键词
Thyroid; Nodular Disease; Diffusion Weighted Imaging; ADC Ratio;

机译：甲状腺;结节性疾病;扩散加权成像;ADC比率;

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专利

1. 3 Tesla Apparent Diffusion Coefficient (ADC) Values of Thyroid Nodules: Prediction of Benignancy and Malignancy [J] . Bayraktaroglu Selen, Ozturk Pinar Karakan, Ceylan Naim, Annals of the American Thoracic Society . 2019,第3期

机译：3特斯拉表观扩散系数（ADC）甲状腺结节的值：良性和恶性肿瘤的预测
2. Role of apparent diffusion coefficient values and diffusion-weighted magnetic resonance imaging in differentiation between benign and malignant thyroid nodules [J] . MutluH., SivriogluA.K., SonmezG., Clinical imaging . 2012,第1期

机译：表观扩散系数值和弥散加权磁共振成像在甲状腺良恶性结节鉴别中的作用
3. Role of apparent diffusion coefficient values in differentiation between malignant and benign solitary thyroid nodules. [J] . Razek AA, Sadek AG, Kombar OR, AJNR. American journal of neuroradiology . 2008,第3期

机译：表观扩散系数值在恶性和良性孤立性甲状腺结节分化中的作用。
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. Utility of apparent diffusion coefficients in the evaluation of primary central nervous system lymphoma. [D] . Gilbert, John Webster. 2012

机译：表观扩散系数在原发性中枢神经系统淋巴瘤评估中的应用。
6. How to Discriminate Lung Cancer From Benign Pulmonary Nodules and Masses? Usefulness of Diffusion-Weighted Magnetic Resonance Imaging With Apparent Diffusion Coefficient and Inside/Wall Apparent Diffusion Coefficient Ratio [O] . Katsuo Usuda, Shun Iwai, Aika Yamagata, 2021

机译：如何鉴别肺癌和群众的肺癌？具有表观扩散系数和内部/壁表观扩散系数比的扩散加权磁共振成像的有用性
7. 3 Tesla Apparent Diffusion Coefficient (ADC) Values of Thyroid Nodules: Prediction of Benignancy and Malignancy [O] . Selen Bayraktaroglu, Pınar Karakan Öztürk, Naim Ceylan, 2019

机译：甲状腺结节的3特斯拉表观扩散系数（ADC）值：良性和恶性肿瘤预测

3 Tesla Apparent Diffusion Coefficient (ADC) Values of Thyroid Nodules: Prediction of Benignancy and Malignancy

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