Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T-weighted Contrast-enhanced Imaging.

Journal: BMC medical imaging
Published Date: Feb 3, 2021

Abstract

BACKGROUND: Based on conventional MRI images, it is difficult to differentiatepseudoprogression from true progressionin GBM patients after standard treatment, which isa critical issue associated with survival. The aim of this study was to evaluate the diagnostic performance of machine learning using radiomics modelfrom T-weighted contrast enhanced imaging(TCE) in differentiating pseudoprogression from true progression after standard treatment for GBM.

Authors

  • Ying-Zhi Sun
    Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, Shaanxi, P.R. China.
  • Lin-Feng Yan
    Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, Shaanxi, P.R. China.
  • Yu Han
    Department of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, China.
  • Hai-Yan Nan
    Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
  • Gang Xiao
    Department of Microelectronics, Nankai University, Tianjin, 300350, PR China.
  • Qiang Tian
    Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, Shaanxi, P.R. China.
  • Wen-Hui Pu
    Student Brigade, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
  • Ze-Yang Li
    Student Brigade, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
  • Xiao-Cheng Wei
    GE Healthcare, Shanghai, 210000, China.
  • Wen Wang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Guang-Bin Cui
    Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, Shaanxi, P.R. China.

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