Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Journal: Technology in cancer research & treatment
PMID:

Abstract

PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.

Authors

  • Haoru Wang
    Department of Radiology, Children's Hospital of Chongqing Medical University, 136 Zhongshan Road 2, Yuzhong District, Chongqing, 400014, China.
  • Ling He
    Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Shuang Ding
    Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, No. 136 Zhongshan Road 2, Yuzhong District, Chongqing 400014, China.
  • Mingye Xie
    Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, No. 136 Zhongshan Road 2, Yuzhong District, Chongqing 400014, China.
  • Jinhua Cai
    Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, No. 136 Zhongshan Road 2, Yuzhong District, Chongqing 400014, China.