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A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules

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资源类型：
Pubmed体系：
作者：
Zhou Yahan[1,2,3,4,5] * ; Chen Chen[6] * ; Yao Jincao[5] * ; Yu Jiabin[7] ; Feng Bojian[1,3,5] ; Sui Lin[1,3,4,5,8] ; Yan Yuqi[1,3,4,5,8] ; Chen Xiayi[1,3,4] ; Liu Yuanzhen[1,3,5] ; Zhang Xiao[9] ; Wang Hui[10] ; Pan Qianmeng[10] ; Zou Weijie[5] ; Zhang Qi[11] ; Lin Lu[12] ; Xu Chenke[13] ; Yuan Shengxing[14] ; He Qingquan[4] ; Ding Xiaofan[6] ; Liang Ping[15] ; Wang Vicky Yang[1,3,4] ; Xu Dong[1,2,3,4,5] ;
机构： [1]Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, China. [2]Interventional Medicine and Engineering Research Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. [3]Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, China. [4]Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, Zhejiang, China. [5]Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. [6]Department of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China. [7]College of Information Engineering, China Jiliang University, No.258 Xueyuan Street, Qiantang District, Hangzhou, Zhejiang, China. [8]Postgraduate training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), No.1 East Banshan Road, Gongshu District, Hangzhou, Zhejiang, China. [9]The First People’s Hospital of Hangzhou Lin’an District, No. 360 Yikang Street, Lin’an District, Hangzhou, Zhejiang, China. [10]Department of Ultrasound, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), No.50 Zhengxin Road, Xinhe Town, Taizhou, Zhejiang, China. [11]Shaoxing People’s Hospital, No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, China. [12]Zhoushan Hospital of Traditional Chinese Medicine, No. 355 Xinqiao Road, Dinghai District, Zhoushan, Zhejiang, China. [13]Affiliated Hangzhou First People’s Hospital, School of Medicine, Westlake University, No. 261, Huansha Road, Shangcheng district, Hangzhou, 310006, China. [14]Department of Ultrasonography, Qujing No.1 Hospital, Affiliated Hospital of Kunming Medical University, Qujing, Yunnan, China. [15]Department of Ultrasound, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
出处：
DOI： 10.1038/s41746-025-01455-y

摘要：
Recognizing the limitations of computer-assisted tools for thyroid nodule diagnosis using static ultrasound images, this study developed a diagnostic tool utilizing dynamic ultrasound video, namely Thyroid Nodules Visualization (TNVis), by leveraging a two-stage deep learning framework that involved three-dimensional (3D) visualization. In this multicenter study, 4569 cases were included for framework development, and data from seven hospitals were employed for diagnostic validation. TNVis achieved a Dice similarity coefficient of 0.90 after internal testing. For the external validation, TNVis significantly improved radiologists' performance, reaching an AUC of 0.79, compared to their diagnostic performance without the use of TNVis (AUC: 0.66; p < 0.001) and those with partial assistance (AUC: 0.72; p < 0.001). In conclusion, the TNVis-assisted diagnostic strategy not only significantly improves the diagnostic ability of radiologists but also closely imitates their clinical diagnostic procedures and provides them with an objective 3D representation of the nodules for precise and personalized diagnosis and treatment planning.© 2025. The Author(s).

基金：
This work was supported by the National Natural Science Foundation of China (No. 82471990, 82071946); the “Pioneer” and “Leading Goose” R&D Program of Zhejiang (No. 2023C04039); the Research Program of National Health Commision Capacity Building and Continuing Education Center (CSJRZC2021JJSJ001) and the Research Program of Zhejiang Provincial Department of Health (No. 2022KY110, 2023KY066, 2023KY581, 2025KY717, 2025KY721, and 2025KY707).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2025]版：
无
最新[2023]版：
大类 | 1 区 医学
小类 | 1 区 卫生保健与服务 1 区 医学：信息
第一作者：
第一作者机构： [1]Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, China. [2]Interventional Medicine and Engineering Research Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. [3]Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, China. [4]Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, Zhejiang, China. [5]Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
共同第一作者：
通讯作者：
通讯机构： [1]Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, Zhejiang, China. [2]Interventional Medicine and Engineering Research Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. [3]Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, Zhejiang, China. [4]Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, Zhejiang, China. [5]Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
推荐引用方式(GB/T 7714)：
Zhou Yahan,Chen Chen,Yao Jincao,et al.A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules[J].NPJ Digital Medicine.2025,8(1):126.doi:10.1038/s41746-025-01455-y.
APA：
Zhou Yahan,Chen Chen,Yao Jincao,Yu Jiabin,Feng Bojian...&Xu Dong.(2025).A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules.NPJ Digital Medicine,8,(1)
MLA：
Zhou Yahan,et al."A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules".NPJ Digital Medicine 8..1(2025):126

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