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Clinical Application of Preliminary breast cancer screening for Dense breasts Using Real-Time AI-Powered Ultrasound with Deep-Learning Computer Vision

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Journal of Clinical and Nursing Research 2024年第6期8卷 36-47页

作者： Zhenzhong Zhou Xueqin Xie Zongjin Yang Zhongxiong Feng Xiaoling Zheng Qian Huang School of Business Macao University of Science and TechnologyMacao 999078China Ultrasound Department Duanzhou District Women and Children's HospitalZhaoqing 526040China iCare365 Technologies Inc.Guangzhou 510515China

Objective:We propose a solution that is backed by cloud computing,combines a series of AI neural networks of computer vision;is capable of detecting,highlighting,and locating breast lesions from a live ultrasound video feed,provides BI-RADS categorizations;and has reliable sensitivity and *** deep-learning models were trained on more than 300,000 breast ultrasound images to achieve object detection and regions of interest *** main objective of this study was to determine whether the performance of our Al-powered solution was comparable to that of ultrasound ***:The noninferiority evaluation was conducted by comparing the examination results of the same screening women between our AI-powered solution and ultrasound radiologists with over 10 years of *** study lasted for one and a half years and was carried out in the Duanzhou District Women and Children's Hospital,Zhaoqing,China.1,133 females between 20 and 70 years old were selected through convenience ***:The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value were 93.03%,94.90%,90.71%,92.68%,and 93.48%,*** area under the curve(AUC)for all positives was 0.91569 and the AUC for all negatives was *** comparison indicated that the overall performance of the AI system was comparable to that of ultrasound ***:This innovative AI-powered ultrasound solution is cost-effective and user-friendly,and could be applied to massive breast cancer screening.

关键词： breast cancer screening Ultrasound Lesion detection BI-RADS Deep learning Computer vision Cloud computing

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Role of mammogram and ultrasound imaging in predicting breast cancer subtypes in screening and symptomatic patients

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World Journal of Clinical Oncology 2021年第9期12卷 808-822页

作者： Tay Wei Ming Ian Ern Yu Tan Niketa Chotai Department of Diagnostic Radiology Singapore General HospitalSingapore 101070Singapore Department of General Surgery Tan Tock Seng HospitalSingapore 308433Singapore Department of Diagnostic Radiology Tan Tock Seng HospitalSingapore 308433Singapore

BACKGROUND breast cancer(BC)radiogenomics,or correlation analysis of imaging features and BC molecular subtypes,can complement genetic analysis with less resourceintensive diagnostic methods to provide an early and accurate triage of *** is pertinent because BC is the most prevalent cancer amongst adult women,resulting in rising demands on public health *** To find combinations of mammogram and ultrasound imaging features that predict BC molecular subtypes in a sample of screening and symptomatic *** This retrospective study evaluated 328 consecutive patients in 2017-2018 with histologically confirmed BC,of which 237(72%)presented with symptoms and 91(28%)were detected via a screening *** the patients underwent mammography and ultrasound imaging prior to *** images were retrospectively read by two breast-imaging radiologists with 5-10 years of experience with no knowledge of the histology results to ensure statistical *** test the hypothesis that imaging features are correlated with tumor subtypes,univariate binomial and multinomial logistic regression models were *** study also used the multivariate logistic regression(with and without interaction terms)to identify combinations of mammogram and ultrasound(US)imaging characteristics predictive of molecular *** The presence of circumscribed margins,posterior enhancement,and large size is correlated with triple-negative BC(TNBC),while high-risk microcalcifications and microlobulated margins is predictive of HER2-enriched *** carcinoma in situ is characterized by small size on ultrasound,absence of posterior acoustic features,and architectural distortion on mammogram,while luminal subtypes tend to be small,with spiculated margins and posterior acoustic shadowing(Luminal A type).These results are broadly consistent with findings from prior *** addition,we also find that US size signals a higher odds ratio for TNBC if presented

关键词： Hormone receptor Molecular subtype Ultrasonography Mammography Triple-negative cancer breast cancer screening

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CACA Guidelines for Holistic Integrative Management of breast cancer

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Holistic Integrative Oncology 2022年第1期1卷 76-126页

作者： Jiong Wu Daiming Fan Zhimin Shao Binghe Xu Guosheng Ren Zefei Jiang Yongsheng Wang Feng Jin Jin Zhang Qingyuan Zhang Fei Ma Jinli Ma Zhonghua Wang Shusen Wang Xiaojia Wang Shu Wang Haibo Wang Tao Wang Xiang Wang Jing Wang Jia Wang Biyun Wang Li Fu Hongyuan Li Yehui Shi Lu Gan Yunjiang Liu Jian Liu Zhenzhen Liu Qiang Liu Qiang Sun Wenwu Cheng Keda Yu Zhongsheng Tong Xinhong Wu Chuangui Song Jianguo Zhang Jian Zhang Junjie Li Bin Li Man Li Huiping Li Wentao Yang Hongjian Yang Benlong Yang Hong Bu Juping Shen Zhenzhou Shen Yiding Chen Ceshi Chen Da Pang Zhimin Fan Ying Zheng Xiaoli Yu Guangyu Liu Xichun Hu Yiqun Ling Jinhai Tang Yongmei Yin Cuizhi Geng Peng Yuan Yajia Gu Cai Chang Xuchen Cao Yuan Sheng Yuanxi Huang Jian Huang Weijun Peng Xiaohua Zeng Yuntao Xie Ning Liao Committee of breast cancer Society,Chinese Anti-cancer Association Key Laboratory of breast cancer in Shanghai Department of Breast SurgeryFudan University Shanghai Cancer CenterShanghai Medical College of Fudan UniversityShanghaiChina Department of Oncology Shanghai Medical College of Fudan UniversityShanghaiChina Department of Gastroenterology Beijing Chaoyang HospitalCapital Medical UniversityBeijingChina State key Laboratory of cancer Biology National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi’anChina National cancer Center/cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Endocrine and breast Surgery The First Affliated Hospital of Chongqing Medical UniversityYuzhongChongqingChina Medicine-Oncology The Affliated Hospital of Military Medical Sciences(The 307th Hospital of Chinese People’s Liberation Army)BeijingChina breast Disease Center Shandong Cancer HospitalJinanChina Department of breast Surgery The First Affliated Hospital of China Medical UniversityShenyangChina The 3rd Department of breast cancer China Tianjin Breast Cancer PreventionTreatment and Research CenterTianjin Medical University Cancer Institute and HospitalNational Clinical Research Center of CancerTianjinChina Harbin Medical University cancer Hospital HarbinChina Department of Radiation Oncology Fudan University Shanghai Cancer CenterShanghai Medical College of Fudan UniversityShanghaiChina Sun Yat-Sen University cancer Center GuangzhouChina Zhejiang cancer Hospital HangzhouChina breast Center Peking University People’s HospitalBeijingChina Department of breast Center The Affliated Hospital of Qingdao UniversityShandongChina Department of Oncology Fifth Medical Center of Chinese PLA General HospitalBeijingChina Department of breast Surgical Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Departmen

Purpose:breast cancer is now the most common malignant tumor *** one-fourth of female cancer patients all over the world sufer from breast *** about one in six female cancer deaths worldwide is caused by breast *** terms of absolute numbers of cases and deaths,China ranks frst in the *** CACA Guidelines for Holistic Integrative Management of breast cancer were edited to help improve the diagnosis and comprehensive treatment in ***:The Grading of Recommendations Assessment,Development and Evaluation(GRADE)was used to classify evidence and ***:The CACA Guidelines for Holistic Integrative Management of breast cancer include the epidemiology of breast cancer,breast cancer screening,breast cancer diagnosis,early breast cancer treatment,advanced breast cancer treatment,follow-up,rehabilitation,and traditional Chinese medicine treatment of breast cancer ***:We to standardize the diagnosis and treatment of breast cancer in China through the formulation of the CACA Guidelines.

关键词： Epidemiology of breast cancer breast cancer screening breast cancer diagnosis Early breast cancer treatment Advanced breast cancer treatment Traditional Chinese medicine treatment of breast cancer

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