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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5205
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Xiaofang Zhou, Yuncong Zhao, Ye Li, Lin Lin et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Atomic and Subatomic Physics Research
article

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

Xiaofang Zhou, Yuncong Zhao, Ye Li, Lin Lin, Jialu Zhang, Yunjing Xue, Danjie Lin, Yizhu Chen
article en

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 81%
Atomic and Subatomic Physics Research
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Delta Histogram Analysis of Synthetic MRI for Evaluating the Grade and Cellular Proliferation of Meningioma — Xiaofang Zhou, Yuncong Zhao, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS