Photoacoustic Imaging with Attention-Guided Deep Learning for Predicting Axillary Lymph Node Status in Breast Cancer.

Journal: Academic radiology
PMID: 39848886

Abstract

RATIONALE AND OBJECTIVES: Preoperative assessment of axillary lymph node (ALN) status is essential for breast cancer management. This study explores the use of photoacoustic (PA) imaging combined with attention-guided deep learning (DL) for precise prediction of ALN status.

Authors

  • Guoqiu Li
    Jinan University, Guangzhou, Guangdong, 510632, China.
  • Shuzhen Tang
    The Second Clinical Medical College, Jinan University, 518020, Shenzhen, China.
  • Zhibin Huang
    Jinan University, Guangzhou, Guangdong, 510632, China.
  • Mengyun Wang
    Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
  • Hongtian Tian
    Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, 518020, China.
  • Huaiyu Wu
    Jinan University, Guangzhou, Guangdong, 510632, China.
  • Sijie Mo
    Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen 518020, Guangdong, China (G.L., S.T., Z.H., M.W., S.M., J.X., F.D.). Electronic address: mosijie73@gmail.com.
  • Jinfeng Xu
    Department of Ultrasound, The Second Clinical Medical Collegeļ¼ŒJinan University, Guangdong, China.
  • Fajin Dong
    Department of Ultrasound, The Second Clinical Medical College, Jinan University, Shenzhen, China.

Keywords

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