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

被引:1
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] Chinese Acad Sci, Hangzhou Inst Med HIM, Ctr Intelligent Diag & Therapy Taizhou, Taizhou, Zhejiang, Peoples R China
[2] Chinese Acad Sci, Hangzhou Inst Med HIM, Intervent Med & Engn Res Ctr, Hangzhou, Zhejiang, Peoples R China
[3] Wenling Inst Big Data & Artificial Intelligence In, Taizhou, Zhejiang, Peoples R China
[4] Taizhou Canc Hosp, Zhejiang Canc Hosp, Taizhou Key Lab Minimally Invas Intervent Therapy, Taizhou Campus, Taizhou 317502, Zhejiang, Peoples R China
[5] Chinese Acad Sci, Zhejiang Canc Hosp, Hangzhou Inst Med HIM, Dept Diagnost Ultrasound Imaging & Intervent Thera, Hangzhou 310022, Zhejiang, Peoples R China
[6] Univ Macau, Fac Hlth Sci, Dept Biomed Sci, Taipa, Macao, Peoples R China
[7] China Jiliang Univ, Coll Informat Engn, 258 Xueyuan St, Hangzhou, Zhejiang, Peoples R China
[8] Wenzhou Med Univ, Zhejiang Canc Hosp, Postgrad Training Base Alliance, 1 East Banshan Rd, Hangzhou 310022, Zhejiang, Peoples R China
[9] First Peoples Hosp Linan Dist, 360 Yikang St, Hangzhou 311300, Zhejiang, Peoples R China
[10] Taizhou Canc Hosp, Zhejiang Canc Hosp, Dept Ultrasound, Taizhou Campus,50 Zhengxin Rd, Taizhou, Zhejiang, Peoples R China
[11] Shaoxing Peoples Hosp, Dept Vasc Surg, 568 Zhongxing North Rd, Yuecheng 312000, Peoples R China
[12] Zhejiang Univ Tradit Chinese Med, 355 Xinqiao Rd, Zhoushan 316000, Zhejiang, Peoples R China
[13] Westlake Univ, Affiliated Hangzhou Peoples Hosp 1, Sch Med, 261 Huansha Rd, Hangzhou 310006, Peoples R China
[14] Kunming Med Univ, Qujing Hosp 1, Affiliated Qujing Hosp, Affiliated Hosp, 1 Yuanlin Rd, Qujing, Yunnan, Peoples R China
[15] Chinese PLA, Chinese PLA Gen Hosp, Sch Med, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
ARTIFICIAL-INTELLIGENCE; CANCER; MANAGEMENT;
D O I
10.1038/s41746-025-01455-y
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
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.
引用
收藏
页数:11
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