ArticleJournal of Cancer2021
Risk-predicted dual nomograms consisting of clinical and ultrasound factors for downgrading BI-RADS category 4a breast lesions - A multiple centre study.
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Article in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- A nomogram based on conventional ultrasound and elastography for diagnosing BI-RADS category 3-5 lesions.BMC medical imaging · 2026Article
- Exploring the Application of Contrast-Enhanced Ultrasound in ACR BI-RADS 4A Lesions (≤ 2 cm): A Prospective Multicenter Study in China.The breast journal · 2026Article
- An Approach for Differential Diagnosis of Breast Tumors by ctDNA Methylation Sequencing.Cancer medicine · 2025Article
- Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study.Radiation oncology (London, England) · 2025Article
- A combined clinical-ultrasound radiomics model for differentiating benign and malignant BI-RADS category 4 breast masses.American journal of translational research · 2025Article
- Differential diagnosis of breast mucinous carcinoma with an oval shape from fibroadenoma based on ultrasonographic features.BMC women's health · 2024Article
- Ultrasound-based multiregional radiomics analysis to differentiate breast masses.Quantitative imaging in medicine and surgery · 2023Article
- Development and validation of a prediction model for the diagnosis of breast cancer based on clinical and ultrasonic features.Gland surgery · 2023Article
- Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.Cancer science · 2022Article
- Multi-parameter ultrasonography-based predictive model for breast cancer diagnosis.Frontiers in oncology · 2022Article
- Development and External Validation of a Simple-To-Use Dynamic Nomogram for Predicting Breast Malignancy Based on Ultrasound Morphometric Features: A Retrospective Multicenter Study.Frontiers in oncology · 2022Article
- Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study.Cancer management and research · 2021Article
- An Improved Nomogram to Reduce False-Positive Biopsy Rates of Breast Imaging Reporting and Data System Ultrasonography Category 4A Lesions.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
27 authors at 20 institutions in 1 country.
Zihan NiuDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Jia-Wei TianDepartment of Ultrasound, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
Hai-Tao RanDepartment of Ultrasound, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China; Chongqing Key Laboratory of Ultrasound Molecular Imaging, Chongqing 400010, China.
Wei-Dong RenDepartment of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Cai ChangDepartment of Medical Ultrasound, Fudan University Shanghai Cancer Center & Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Jian-Jun YuanDepartment of Ultrasonography, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Chun-Song KangDepartment of Ultrasound, Shanxi Academy of Medical Science, Dayi Hospital of Shanxi Medical University, Taiyuan 030032, China.
You-Bin DengDepartment of Medical Ultrasound, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Hui WangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun 130033, China.
Bao-Ming LuoDepartment of Ultrasound, the Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Sheng-Lan GuoDepartment of Ultrasonography, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Qi ZhouDepartment of Medical Ultrasound, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an 710004, China.
En-Sheng XueDepartment of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou 350001, China.
Wei-Wei ZhanDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200025, China.
Qing ZhouDepartment of Ultrasonography, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Jie LiDepartment of Ultrasound, Qilu Hospital, Shandong University, Jinan 250012, China.
Ping ZhouDepartment of Ultrasound, the Third Xiangya Hospital of Central South University, Changsha 410013, China.
Chun-Quan ZhangDepartment of Ultrasound, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Man ChenDepartment of Ultrasound Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Ying GuDepartment of Ultrasonography, the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China.
Jin-Feng XuDepartment of Ultrasound, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, Shenzhen 518020, China.
Wu ChenDepartment of Ultrasound, the First Hospital of Shanxi Medical University, Taiyuan 030001, China.
Yu-Hong ZhangDepartment of Ultrasound, the Second Hospital of Dalian Medical University, Dalian 116027, China.
Hong-Qiao WangDepartment of Ultrasound, the Affiliated Hospital of Qingdao University, Qingdao 266003, China.
Jian-Chu LiDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Hong-Yan WangDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yu-Xin JiangDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNCentral South University · CNChina Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNFirst Hospital of Shanxi Medical University · CNFudan University Shanghai Cancer Center · CNGuiyang Medical University · CNHenan Provincial People's Hospital · CNJilin University · CNJinan University · CNNanchang University · CNQilu Hospital of Shandong University · CNQingdao University · CNRenmin Hospital of Wuhan University · CNRuijin Hospital · CNSecond Affiliated Hospital of Chongqing Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CNShanghai Jiao Tong University · CN
Funding
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Abstract
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Indexed as
Breast cancerelastographyNomogramrisk factorsultrasonography
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.