The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers.

Journal: BMC medical imaging
PMID: 38844854

Abstract

BACKGROUND: This study investigated whether the Combat compensation method can remove the variability of radiomic features extracted from different scanners, while also examining its impact on the subsequent predictive performance of machine learning models.

Authors

  • Xiaolei Zhang
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, 310058, China; Key Laboratory of on Site Processing Equipment for Agricultural Products, Ministry of Agriculture and Rural Affairs, China.
  • M Iqbal Bin Saripan
    Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
  • Yanjun Wu
    Institute of Software, Chinese Academy of Sciences.
  • Zhongxiao Wang
    Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Dong Wen
    Center for Medical Informatics, Peking University, Beijing, China.
  • Zhendong Cao
    Department of Radiology, the Affiliated Hospital of Chengde Medical University, Chengde, China.
  • Bingzhen Wang
  • Shiqi Xu
    Department of Electrical & System Engineering, Washington University in St. Louis.
  • Yanli Liu
    Baodi Clinical College, Tianjin Medical University, 8 Guangchuan Road, Tianjin, 301800, China.
  • Mohammad Hamiruce Marhaban
    Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Seri Kembangan, Selangor 43400, Malaysia.
  • Xianling Dong
    Present Address: Department of Biomedical Engineering, Chengde Medical University, Chengde City, Hebei Province, China.

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