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Abstract #5205

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

Ye Li1, Yizhu Chen2, Danjie Lin2, Xiaofang Zhou2, Yuncong Zhao1, Jialu Zhang3, Yunjing Xue2, and Lin Lin2
1School of Medical Imaging,Fujian Medical University, FuZhou, China, 2Fujian Medical University Union Hospital, FuZhou, China, 3GE Healthcare, MR Research, Beijing, China

Synopsis

Keywords: Synthetic MR, Diagnosis/Prediction, synthetic MRI

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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Keywords