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The aim is to assess the effectiveness of MRI features in predicting the grades of solitary fibrous tumors and Ki-67 expression.

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

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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.

An analysis predicts tumor grades and Ki-67 expression in solitary fibrous tumors, suggesting MRI's potential for enhanced diagnosis.

The combination of MR semantic and whole-tumor histogram features can predict ISFT grades and Ki-67 expression with favorable predictive performance.

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Zhang et al. (2026) studied this question.

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An analysis predicts tumor grades and Ki-67 expression in solitary fibrous tumors, suggesting MRI's potential for enhanced diagnosis.

The combination of MR semantic and whole-tumor histogram features can predict ISFT grades and Ki-67 expression with favorable predictive performance.