The journey of ultrasound-based thyroid nodule risk stratification scoring systems: Do all roads lead to Thyroid Imaging, Reporting and Data System (TIRADS)? by Abhishek Mahajan, Tanvi Vaidya, Richa Vaish, Nilesh Sable

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Siriraj Thyroid Imaging Reporting and Data System and Its Efficacy by Dittapong Songsaeng

Subjects: “…Siriraj thyroid imaging reporting and data system…”
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Performance of European thyroid imaging reporting and data system in stratifying malignancy risk of thyroid nodules: A prospective study by Mehrdad Nabahati, Zoleika Moazezi

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Assessment the Adherence of Radiologists to the Thyroid Imaging Reporting and Data System (TIRADS) by Fariba Zarei, Mohammad Reza Sasani, Banafsheh Zeinali Rafsanjani, Mahdi Saeedi Moghadam

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Comparative analysis of the diagnostic efficiency of the four thyroid imaging reporting and data systems by Jun Xu, Wei-Bing Zhang, Wen-Fang Deng, Bei-Li He, Ting-Yue Qi

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Comparison of Diagnostic Values of ACR TI-RADS versus C-TIRADS Scoring and Classification Systems for the Elderly Thyroid Cancers by Huang H, Zhu MJ, Gao Q, Huang YL, Li WM

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Is TIRADS a practical and accurate system for use in daily clinical practice? by Anuradha Chandramohan, Abhishek Khurana, B T Pushpa, Marie Therese Manipadam, Dukhabandhu Naik, Nihal Thomas, Deepak Abraham, Mazhuvanchary Jacob Paul

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Thyroid Imaging Reporting and Data System (TIRADS) in Stratifying Risk of Thyroid Malignancy at The Medical City by Joanna Grace Dy, Ruben Kasala, Christy Yao, Renncee Ongoco, Dondee Jules Mojica

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Subcategorization of intermediate suspicion thyroid nodules based on suspicious ultrasonographic findings by Haejung Kim, Jung Hee Shin, Ka Eun Kim, Myoung Kyoung Kim, Jiyun Oh, Soo Yeon Hahn

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Is thyroid nodule location associated with malignancy risk? by Valeria Ramundo, Livia Lamartina, Rosa Falcone, Laura Ciotti, Cristiano Lomonaco, Marco Biffoni, Laura Giacomelli, Marianna Maranghi, Cosimo Durante, Giorgio Grani

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Accuracy of American College of radiology thyroid imaging reporting and data system in characterisation of thyroid nodules: A tertiary hospital study in India by Ifsheen Fatima, Rajul Rastogi, Probal Chatterjee, Ashutosh Kumar

Subjects: “…american college of radiology thyroid imaging reporting and data system…”
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Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions by Xinxin Wu, Jingjing Li, Jingjing Li, Yakui Mou, Yao Yao, Jingjing Cui, Ning Mao, Xicheng Song

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Effect of the categorization method on the diagnostic performance of ultrasound risk stratification systems for thyroid nodules by Chao Fu, Yiyang Cui, Jing Li, Jing Yu, Yan Wang, Caifeng Si, Kefei Cui

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A comprehensive comparative assessment of eight risk stratification systems for thyroid nodules in the elderly population by Xiao Ma, Jing Yu, Yuanjing Huang, Yiyang Cui, Kefei Cui

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Malignancy risk stratification and subcategorization of K-TIRADS intermediate suspicion thyroid nodules: a retrospective multicenter study by Boeun Lee, Dong Gyu Na, Ji-hoon Kim

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Comparison of the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System for thyroid malignancy with three international guidelines by Eun Ju Ha, Jung Hee Shin, Dong Gyu Na, So Lyung Jung, Young Hen Lee, Wooyul Paik, Min Ji Hong, Yeo Koon Kim, Chang Yoon Lee

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Artificial intelligence system and TI-RADS grading system in predicting thyroid cancer by WANG Yun*, WANG Cong, ZHU Saisai, LI Huansong, ZHANG Jun, GUO Hao, KOU Changhua

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The feasibility of decreasing the thresholds for biopsy in Kwak and C TIRADSs by Chao Fu, Yiyang Cui, Jing Li, Yan Wang, Caifeng Si, Kefei Cui

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Diagnostic efficiency among Eu-/C-/ACR-TIRADS and S-Detect for thyroid nodules: a systematic review and network meta-analysis by Longtao Yang, Cong Li, Zhe Chen, Shaqi He, Zhiyuan Wang, Jun Liu, Jun Liu, Jun Liu

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Diagnostic performance of six ultrasound-based risk stratification systems in thyroid follicular neoplasm: A retrospective multi-center study by Jingjing Yang, Yu Sun, Yu Sun, Xingjia Li, Xingjia Li, Yueting Zhao, Xue Han, Guofang Chen, Guofang Chen, Wenbo Ding, Ruiping Li, Jianhua Wang, Fangsen Xiao, Chao Liu, Chao Liu, Shuhang Xu

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