Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules

被引：0
作者：
Ying Liu
Xiaoxian Li
Cuiju Yan
Longzhong Liu
Ying Liao
Hongyan Zeng
Weijun Huang
Qian Li
Nansheng Tao
Jianhua Zhou
机构：
[1] Collaborative Innovation Center for Cancer Medicine,Department of Ultrasound, Sun Yat
[2] Huadu District People’s Hospital,sen University Cancer Center, State Key Laboratory of Oncology in South China
[3] Foshan First Municipal People’s Hospital (The Affiliated Foshan Hospital of Sun Yat-Sen University),Department of Ultrasound
[4] Affiliated Tumor Hospital of Zhengzhou University,Department of Ultrasound
[5] The Fifth People’s Hospital of Nanhai,Department of Ultrasound
来源：
European Radiology | 2022年 / 32卷
关键词：
Thyroid nodules; TI-RADS; FNA; Ultrasound;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：7733 / 7742
页数：9
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