US-based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: To investigate and authenticate the effectiveness of various radiomics models in distinguishing between benign and malignant BI-RADS 4A lesions.

Authors

  • Jieyi Ye
    Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, 81 Lingnan North Road, Foshan 528000, Guangdong, China (J.Y., Y.C., Y.Q., Z.L., Y.X., Y.H., W.H.).
  • Yinting Chen
    Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, 81 Lingnan North Road, Foshan 528000, Guangdong, China (J.Y., Y.C., Y.Q., Z.L., Y.X., Y.H., W.H.).
  • Jiawei Pan
    Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
  • Yide Qiu
    Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, 81 Lingnan North Road, Foshan 528000, Guangdong, China (J.Y., Y.C., Y.Q., Z.L., Y.X., Y.H., W.H.).
  • Zhuoru Luo
    Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, 81 Lingnan North Road, Foshan 528000, Guangdong, China (J.Y., Y.C., Y.Q., Z.L., Y.X., Y.H., W.H.).
  • Yue Xiong
    Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, 81 Lingnan North Road, Foshan 528000, Guangdong, China (J.Y., Y.C., Y.Q., Z.L., Y.X., Y.H., W.H.).
  • Yanping He
    Department of Medical Ultrasonics, The First People's Hospital of Foshan, No. 81, Lingnan Avenue North, Foshan, 528000, China.
  • Yingyu Chen
    College of Veterinary Medicine, Wuhan, China.
  • Fuqing Xie
    Department of Radiology and Medical Ultrasonics, Leping Hospital Affiliated to Foshan First People's Hospital, 10 Lenan Road, Foshan 528100, Guangdong, China (Y.C., F.X.).
  • Weijun Huang