Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study
文献类型:期刊论文
作者 | Zhang, Ming-Bo5; Meng, Zhe-Ling1,6![]() ![]() |
刊名 | BMC MEDICINE
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出版日期 | 2024-04-12 |
卷号 | 22期号:1页码:13 |
关键词 | Thyroid cancer Papillary Lymphatic metastasis Deep learning Ultrasonography |
ISSN号 | 1741-7015 |
DOI | 10.1186/s12916-024-03367-2 |
通讯作者 | Luo, Yu-Kun(lyk301@163.com) ; Wang, Kun(kun.wang@ia.ac.cn) |
英文摘要 | Background Prediction of lymph node metastasis (LNM) is critical for individualized management of papillary thyroid carcinoma (PTC) patients to avoid unnecessary overtreatment as well as undesired under-treatment. Artificial intelligence (AI) trained by thyroid ultrasound (US) may improve prediction performance. Methods From September 2017 to December 2018, patients with suspicious PTC from the first medical center of the Chinese PLA general hospital were retrospectively enrolled to pre-train the multi-scale, multi-frame, and dual-direction deep learning (MMD-DL) model. From January 2019 to July 2021, PTC patients from four different centers were prospectively enrolled to fine-tune and independently validate MMD-DL. Its diagnostic performance and auxiliary effect on radiologists were analyzed in terms of receiver operating characteristic (ROC) curves, areas under the ROC curve (AUC), accuracy, sensitivity, and specificity. Results In total, 488 PTC patients were enrolled in the pre-training cohort, and 218 PTC patients were included for model fine-tuning (n = 109), internal test (n = 39), and external validation (n = 70). Diagnostic performances of MMD-DL achieved AUCs of 0.85 (95% CI: 0.73, 0.97) and 0.81 (95% CI: 0.73, 0.89) in the test and validation cohorts, respectively, and US radiologists significantly improved their average diagnostic accuracy (57% vs. 60%, P = 0.001) and sensitivity (62% vs. 65%, P < 0.001) by using the AI model for assistance. Conclusions The AI model using US videos can provide accurate and reproducible prediction of cervical lymph node metastasis in papillary thyroid carcinoma patients preoperatively, and it can be used as an effective assisting tool to improve diagnostic performance of US radiologists. Trial registration We registered on the Chinese Clinical Trial Registry website with the number ChiCTR1900025592. |
WOS关键词 | LATERAL NECK ; NODULES ; CANCER ; MANAGEMENT ; DISSECTION ; DIAGNOSIS ; SYSTEM ; WELL |
资助项目 | National Key Research and Development Program of China[2022YFC2407405] ; National Natural Science Foundation of China[92159305] ; National Natural Science Foundation of China[92259303] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[82272029] ; Excellent Member Project of Youth Innovation Promotion Association CAS[2016124] ; Outstanding Youth Fund Incubation Program of PLA General Hospital[2018-YQPY-002] ; Beijing Science Fund for Distinguished Young Scholars[JQ22013] |
WOS研究方向 | General & Internal Medicine |
语种 | 英语 |
WOS记录号 | WOS:001201829300005 |
出版者 | BMC |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Excellent Member Project of Youth Innovation Promotion Association CAS ; Outstanding Youth Fund Incubation Program of PLA General Hospital ; Beijing Science Fund for Distinguished Young Scholars |
源URL | [http://ir.ia.ac.cn/handle/173211/57047] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
通讯作者 | Luo, Yu-Kun; Wang, Kun |
作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 2.Gen Hosp Chinese PLA, Med Ctr 4, Dept Ultrasound, Beijing, Peoples R China 3.Beijing Tong Ren Hosp, Dept Ultrasound, Beijing, Peoples R China 4.China Japan Friendship Hosp, Dept Ultrasound, Beijing, Peoples R China 5.Gen Hosp Chinese PLA, Med Ctr 1, Dept Ultrasound, Beijing, Peoples R China 6.Chinese Acad Sci, Univ Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Ming-Bo,Meng, Zhe-Ling,Mao, Yi,et al. Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study[J]. BMC MEDICINE,2024,22(1):13. |
APA | Zhang, Ming-Bo.,Meng, Zhe-Ling.,Mao, Yi.,Jiang, Xue.,Xu, Ning.,...&Wang, Kun.(2024).Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study.BMC MEDICINE,22(1),13. |
MLA | Zhang, Ming-Bo,et al."Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study".BMC MEDICINE 22.1(2024):13. |
入库方式: OAI收割
来源:自动化研究所
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