ArticleRadiology. Artificial intelligence2023
Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study.
Registry-linked trialOpen access · greenAbstract read
In one paragraph
Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07500428 (Construction of a Standardized Benchmark Evaluation System for Intelligent Breast Ultrasound Image Interpretation and Systematic Performance Assessment of Multimodal Artificial Intelligence Models Based on ACR BI-RADS v2025 Criteria), which is not on this map. Cited by 10 papers.
0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 8% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Construction of a Standardized Benchmark Evaluation System for Intelligent Breast Ultrasound Image Interpretation and Systematic Performance Assessment of Multimodal Artificial Intelligence Models Based on ACR BI-RADS v2025 Criteria
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
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- Deep learning reconstruction improves detection of focal liver lesions in hepatobiliary phase compared to conventional EOB-MRI.Frontiers in medicine · 2026Article
- Epidemiology, early detection, and management of breast cancer in China: A comprehensive review.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025Article
- Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy.PLOS digital health · 2025Article
- Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis.European radiology · 2025Article
- [Artificial intelligence in radiology : Literature overview and reading recommendations].Radiologie (Heidelberg, Germany) · 2025Review
- Identification of benign and malignant breast nodules on ultrasound: comparison of multiple deep learning models and model interpretation.Frontiers in oncology · 2025Article
- Real-time AI-guided ultrasound localization method for breast tumor rotational resection.Frontiers in oncology · 2025Article
- Artificial Intelligence in Senology - Where Do We Stand and What Are the Future Horizons?European journal of breast health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 1 institution in 2 countries.
Huiling Xiang *From the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID https://orcid.org/0000-0001-5734-4080
Xi Wang *From the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Min XuFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-5595-8983
Yuhua ZhangFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-2546-0818
Shue ZengFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Chunyan LiFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0001-9203-3456
Lixian LiuFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-2877-5583
Tingting DengFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-1003-8710
Guoxue TangFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Cuiju YanFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0003-3490-6639
Jinjing OuFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Qingguang LinFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0001-9798-9238
Jiehua HeFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Peng SunFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).
Anhua LiFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-6498-8789
Hao ChenFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0002-8400-3780
Pheng-Ann HengFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0003-3055-5034
Xi LinFrom the Departments of Ultrasound (H.X., C.L., L.L., T.D., C.Y., J.O., Q.L., A.L., X.L.) and Pathology (J.H., P.S.), Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Zhejiang Laboratory, Hangzhou, China (X.W.); Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Palo Alto, Calif (X.W.); Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (X.W., P.A.H.); Department of Ultrasound Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (M.X.); Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China (M.X.); Department of Ultrasound Medicine, The Third People's Hospital of Zhengzhou, Cancer Hospital of Henan University, Zhengzhou, China (Y.Z.); Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (S.Z.); Department of Ultrasound and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China (G.T.); and Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China (H.C.).ORCID 0000-0003-2984-1703
Sun Yat-sen University · CN
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To evaluate the diagnostic performance of a deep learning (DL) model for breast US across four hospitals and assess its value to readers with different levels of experience. Materials and Methods: In this retrospective study, a dual attention-based convolutional neural network was built and validated to discriminate malignant tumors from benign tumors by using B-mode and color Doppler US images ( Results: The DL model using both B-mode and color Doppler US images demonstrated expert-level performance at the lesion level, with an AUC of 0.94 (95% CI: 0.92, 0.95) for the internal set. In external datasets, the AUCs were 0.92 (95% CI: 0.90, 0.94) for hospital 1, 0.91 (95% CI: 0.89, 0.94) for hospital 2, and 0.96 (95% CI: 0.94, 0.98) for hospital 3. DL assistance led to improved AUCs ( Conclusion: The DL model may help radiologists, especially novice readers, improve accuracy and interobserver agreement of breast tumor diagnosis using US.
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BreastBreast CancerDeep LearningDiagnosisUltrasonographyUltrasound
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