MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer.

Journal: BMC medical imaging
Published Date: Nov 27, 2024

Abstract

OBJECTIVE: Lymphovascular invasion (LVI) is critical for the effective treatment and prognosis of breast cancer (BC). This study aimed to investigate the value of eight machine learning models based on MRI radiomic features for the preoperative prediction of LVI status in BC.

Authors

  • Cici Zhang
    Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, GuangDong, 510220, China.
  • Minzhi Zhong
    Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, GuangDong, 510220, China.
  • Zhiping Liang
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Jing Zhou
  • Kejian Wang
    Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250300, China. kejian-wang@foxmail.com.
  • Jun Bu
    Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, GuangDong, 510220, China. jeanbujun@163.com.

Keywords

External Resources

Popular Topics
Recent Journals