Comparison of Intratumoral and Peritumoral Deep Learning, Radiomics, and Fusion Models for Predicting KRAS Gene Mutations in Rectal Cancer Based on Endorectal Ultrasound Imaging.

Journal: Annals of surgical oncology
PMID:

Abstract

MAIN OBJECTIVES: We aimed at comparing intratumoral and peritumoral deep learning, radiomics, and fusion models in predicting KRAS mutations in rectal cancer using endorectal ultrasound imaging.

Authors

  • Yajiao Gan
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Qiping Hu
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Qingling Shen
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Peng Lin
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
  • Qingfu Qian
    Department of Ultrasound, Fujian Medical University Affiliated Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
  • Minling Zhuo
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Ensheng Xue
    Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.
  • Zhikui Chen
    School of Software, Dalian University of Technology, Dalian, Liaoning, China zkchen@dlut.edu.cn.