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This is a Quantitative Study study.

September 17, 2025

Delta Histogram Analysis of Synthetic MRI for Evaluating the Grade and Cellular Proliferation of Meningioma

Key Points

Delta histogram analysis can effectively predict the tumor grade and proliferative activity in meningiomas, enhancing clinical decision-making.
The combination of dPD% and PD skewness demonstrated a diagnostic effectiveness with an AUC of 0.875, indicating strong performance.
Significant correlations were identified between Ki-67 indices and histogram parameters, highlighting their relevance for tumor biology.
Using synthetic MRI offers a novel approach for assessing meningioma characteristics, which may lead to personalized treatment strategies.

Abstract

Motivation: Conventional MRI lacks in determining the biological behavior of tumors. Goal(s): This study explore the feasibility of delta histogram analysis of SyMRI in predicting the grade and cellular proliferation of meningioma. Approach: SyMRI was obtained from 95 meningioma patients. Delta histogram parameters of SyMRI were compared between low- and high-grade tumors. Diagnostic performance was identified by ROC. Spearman's correlation coefficients were calculated to analyze the correlations between histogram parameters and Ki-67 expression. Results: The combination of dPD% (IR, MAD) and PD skewness showed the best diagnostic effectiveness in grading meningiomas (AUC=0.875). Significant correlations were found between the Ki-67 index and histogram parameters (r=-0.223-0.295). Impact: Delta histogram analysis of SyMRI can predict the grade and proliferative activity of meningiomas, which may facilitate the personalized treatment and prognostic assessment.

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Delta Histogram Analysis of Synthetic MRI for Evaluating the Grade and Cellular Proliferation of Meningioma

Key Points

Abstract

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