Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperatively.

Journal: Clinical radiology
PMID:

Abstract

AIM: To develop a machine learning-based CT radiomics model to preoperatively diagnose occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC) patients.

Authors

  • Z-N Zhu
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210000, China. Electronic address: njmu_zzn@163.com.
  • Q-X Feng
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210000, China. Electronic address: njmu_fqx@163.com.
  • Q Li
    Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China.
  • W-Y Xu
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210000, China. Electronic address: njmu_xwy@163.com.
  • X-S Liu
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210000, China. Electronic address: njmu_lxs@163.com.