An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study.

Journal: International journal of surgery (London, England)
PMID: 38847776

Abstract

BACKGROUND: The accuracy of traditional clinical methods for assessing the metastatic status of axillary lymph nodes (ALNs) is unsatisfactory. In this study, the authors propose the use of radiomic technology and three-dimensional (3D) visualization technology to develop an unsupervised learning model for predicting axillary lymph node metastasis in patients with breast cancer (BC), aiming to provide a new method for clinical axillary lymph node assessment in patients with this disease.

Authors

  • Limeng Qu
    Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139, Renmin Central Road, Changsha, 410011, P.R. China.
  • Xilong Mei
    Department of Radiology, The Second Xiangya Hospital of Central South University.
  • Zixi Yi
    Central South University, Changsha, Hunan.
  • Qiongyan Zou
    Department of General Surgery, The Second Xiangya Hospital, Central South University.
  • Qin Zhou
    The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
  • Danhua Zhang
    Department of General Surgery, The Second Xiangya Hospital, Central South University.
  • Meirong Zhou
    Department of General Surgery, The Second Xiangya Hospital, Central South University.
  • Lei Pei
    Department of Radiology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang 324000, China.
  • Qian Long
    Department of Orthodontics II, Affiliated Stomatological Hospital of Zunyi Medical University. Zunyi 563000, China. E-mail: 1009489843@qq.com.
  • Jiahao Meng
    Beijing University of Posts and Telecommunications, Beijing, 100876, China.
  • Huashan Zhang
    Urinary Surgery, Changsha Central Hospital, Changsha, Hunan, China.
  • Qitong Chen
    Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139, Renmin Central Road, Changsha, 410011, P.R. China.
  • Wenjun Yi
    Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139, Renmin Central Road, Changsha, 410011, P.R. China. yiwenjun@csu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals