Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI

Sci Rep. 2020 Mar 6;10(1):4250. doi: 10.1038/s41598-020-61178-w.


We aimed to develop and validate a multiparametric MR radiomics model using conventional, diffusion-, and perfusion-weighted MR imaging for better prognostication in patients with newly diagnosed glioblastoma. A total of 216 patients with newly diagnosed glioblastoma were enrolled from two tertiary medical centers and divided into training (n = 158) and external validation sets (n = 58). Radiomic features were extracted from contrast-enhanced T1-weighted imaging, fluid-attenuated inversion recovery, diffusion-weighted imaging, and dynamic susceptibility contrast imaging. After radiomic feature selection using LASSO regression, an individualized radiomic score was calculated. A multiparametric MR prognostic model was built using the radiomic score and clinical predictors. The results showed that the multiparametric MR prognostic model (radiomics score + clinical predictors) exhibited good discrimination (C-index, 0.74) and performed better than a conventional MR radiomics model (C-index, 0.65, P < 0.0001) or clinical predictors (C-index, 0.66; P < 0.0001). The multiparametric MR prognostic model also showed robustness in external validation (C-index, 0.70). Our results indicate that the incorporation of diffusion- and perfusion-weighted MR imaging into an MR radiomics model to improve prognostication in glioblastoma patients improved its performance over that achievable using clinical predictors alone.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Brain Neoplasms / diagnostic imaging
  • Brain Neoplasms / etiology
  • Brain Neoplasms / metabolism
  • Brain Neoplasms / therapy
  • Combined Modality Therapy
  • Diffusion Magnetic Resonance Imaging* / methods
  • Diffusion Magnetic Resonance Imaging* / standards
  • Disease Susceptibility
  • Female
  • Glioblastoma / diagnostic imaging*
  • Glioblastoma / etiology
  • Glioblastoma / metabolism
  • Glioblastoma / therapy
  • Humans
  • Image Processing, Computer-Assisted
  • Kaplan-Meier Estimate
  • Magnetic Resonance Angiography* / methods
  • Magnetic Resonance Angiography* / standards
  • Male
  • Middle Aged
  • Neoplasm Grading
  • Neoplasm Staging
  • Prognosis
  • Radiometry*
  • Reproducibility of Results
  • Young Adult