Whole-tumor Multiparametric MRI Histogram Analysis for Predicting Intracranial Solitary Fibrous Tumor Grades and Ki-67 Expression

Key Points

• The aim is to assess the effectiveness of MRI features in predicting the grades of solitary fibrous tumors and Ki-67 expression.
• Analyzed multiparametric MRI features combined with whole-tumor histogram data.
• Evaluated predictive performance for tumor grades and Ki-67 expression.
• MRI features demonstrated favorable predictive performance for identifying tumor grades.
• Combination of histogram and semantic features successfully predicted Ki-67 expression levels.