Vasari-based features nomogram to predict the tumor-infiltrating CD8+ T cell levels in glioblastoma

Motivation: Tumor-infiltrating CD8+ T cells play a key role in glioblastoma development, malignant progression, and recurrence. Goal(s): The aim of the study was to establish nomograms based on the VASARI features of multiparametric MRI to determine the expression levels of CD8+ T cells in patients with glioblastoma. Approach: 140 patients with glioblastoma confirmed by surgery and pathology were retrospectively analyzed. Patients were divided into high and low CD8 expression groups. The MRI images of patients with glioblastoma were analyzed using the VASARI scoring system. Results: The features with the greatest predictive power for CD8 expression levels were, cystic, hemorrhage, and ependymal extension. Impact: The VASARI feature-based nomogram model can shows promise to predict the level of infiltrative CD8 expression in GB tumors noninvasively for earlier tissue diagnosis and more aggressive treatment.