T1 Pre- and Post-contrast Delta Histogram Parameters in Predicting the Grade of Meningioma and Their Relationship to Ki-67 Proliferation Index

Xianwang Liu ¹, Tao Han ¹, Yuzhu Wang ²

⁰Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China.

Academic Radiology +

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April 23, 2024

View abstract on PubMed

Summary

Delta histogram parameters show promise in predicting meningioma grade and proliferative activity. These MRI-derived metrics, including absolute (AdHP) and relative (RdHP) delta histogram parameters, offer a noninvasive approach for assessing tumor aggressiveness.

Area Of Science

Radiology
Oncology
Medical Imaging Analysis

Background

Meningiomas are primary tumors of the meninges, graded based on histological features.
Accurate noninvasive grading of meningioma is crucial for treatment planning and prognosis.
Current imaging techniques have limitations in differentiating tumor grades and assessing proliferative activity.

Purpose Of The Study

To evaluate the feasibility of delta histogram parameters (AdHP and RdHP) for predicting meningioma grade.
To investigate the correlation between delta histogram parameters and the Ki-67 proliferation index.

Main Methods

Retrospective analysis of 92 meningioma patients with T1-weighted and contrast-enhanced T1-weighted MRI.
Extraction of histogram parameters (HP) from T1 and T1C images.
Calculation and comparison of morphological MRI features, AdHP, and RdHP between low-grade (LGM) and high-grade meningioma (HGM) groups.
Logistic regression and ROC analysis for diagnostic performance.
Spearman's correlation to assess the relationship with Ki-67 index.

Main Results

High-grade meningiomas exhibited specific morphological features like lobulation and necrosis.
Significant differences in AdHP and RdHP were observed between LGM and HGM groups (p < 0.00357).
Combined morphological features and delta histogram parameters achieved an AUC of 0.945 for prediction.
Significant correlations were found between delta histogram parameters and the Ki-67 proliferation index (p < 0.05).

Conclusions

Delta histogram parameters are effective in noninvasively predicting meningioma grade.
These parameters correlate with tumor proliferative activity (Ki-67 index).
Delta histogram parameters represent a promising biomarker for meningioma assessment.

Keywords:

Delta histogram parameters Grading Ki-67 proliferation index Magnetic resonance imaging Meningioma