Comparative Analysis of the Diagnostic Value of S-Detect Technology in Different Planes Versus the BI-RADS Classification for Breast Lesions.

Journal: Academic radiology
Published Date: Aug 12, 2024

Abstract

RATIONALE AND OBJECTIVES: S-Detect, a deep learning-based Computer-Aided Detection system, is recognized as an important tool for diagnosing breast lesions using ultrasound imaging. However, it may exhibit inconsistent findings across multiple imaging planes. This study aims to evaluate the diagnostic performance of S-Detect in different planes and identify factors contributing to these inconsistencies.

Authors

  • Panpan Zhang
    School of Information Science and Technology, Northwest University, Xi'an, China.
  • Min Zhang
    Department of Infectious Disease, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Menglin Lu
    Department of Ultrasound, The Affiliated Taizhou Hospital, Wenzhou Medical University, Linhai, Zhejiang Province, China.
  • Chaoying Jin
    Department of Ultrasound, The Affiliated Taizhou Hospital, Wenzhou Medical University, Linhai, Zhejiang Province, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Xianfang Lin
    Department of Ultrasound, The Affiliated Taizhou Hospital, Wenzhou Medical University, Linhai, Zhejiang Province, China. Electronic address: linxf@enzemed.com.

Keywords

External Resources

Popular Topics
Recent Journals