ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation...

Area of Science:

• Neuroradiology
• Oncology
• Medical Imaging

Background:

• Accurate preoperative differentiation between atypical meningioma (AtM) and transitional meningioma (TrM) is crucial for effective clinical management.
• Distinguishing these subtypes preoperatively can guide treatment strategies and improve patient outcomes.

Purpose of the Study:

• To evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis in differentiating AtM from TrM.
• To investigate the correlation between ADC histogram parameters and the Ki-67 proliferation index (PI) in meningiomas.

Main Methods:

• Retrospective analysis of clinical, imaging, and pathological data from 78 AtM and 80 TrM cases.
• Regions of interest (ROIs) were defined on ADC images, and various histogram parameters were generated using MaZda software.
• Statistical analysis included the Mann-Whitney U test, ROC curve analysis for diagnostic efficacy, and correlation analysis with Ki-67 PI.

Main Results:

• Significant differences in variance, skewness, kurtosis, ADCp90, and ADCp99 were observed between AtM and TrM (P < 0.05).
• Combined ADC histogram parameters demonstrated good diagnostic performance (AUC 0.800) for differentiating AtM from TrM.
• All histogram parameters showed a negative correlation with the Ki-67 PI (r = -0.012 to -0.293).

Conclusions:

• ADC histogram analysis serves as a promising non-invasive method for preoperative differentiation of AtM from TrM.
• ADC histogram parameters are negatively associated with the Ki-67 proliferation index, suggesting a potential role in assessing tumor aggressiveness.