Whole lesion histogram analysis of meningiomas derived from ADC values. Correlation with several cellularity parameters, proliferation index KI 67, nucleic content, and membrane permeability

Publication date: September 2018
Source:Magnetic Resonance Imaging, Volume 51
Author(s): Alexey Surov, Gordian Hamerla, Hans Jonas Meyer, Karsten Winter, Stefan Schob, Eckhard Fiedler
PurposeTo analyze several histopathological features and their possible correlations with whole lesion histogram analysis derived from ADC maps in meningioma.Materials and methodsThe retrospective study involved 36 patients with primary meningiomas. For every tumor, the following histogram analysis parameters of apparent diffusion coefficient (ADC) were calculated: ADCmean, ADCmax, ADCmin, ADCmedian, ADCmode, ADC percentiles: P10, P25, P75, P90, as well kurtosis, skewness, and entropy. All measures were performed by two radiologists. Proliferation index KI 67, minimal, maximal and mean cell count, total nucleic area, and expression of water channel aquaporin 4 (AQP4) were estimated. Spearman’s correlation coefficient was used to analyze associations between investigated parameters.ResultsA perfect interobserver agreement for all ADC values (0.84–0.97) was identified. All ADC values correlated inversely with tumor cellularity with the strongest correlation between P10, P25 and mean cell count (−0.558). KI 67 correlated inversely with all ADC values except ADCmin. ADC parameters did not correlate with total nucleic area. All ADC values correlated statistically significant with expression of AQP4.ConclusionsADC histogram analysis is a valid method with an excellent interobserver agreement. Cellularity parameters and proliferation potential are associated with different ADC values. Membrane permeability may play a greater role for water diffusion than cell count and proliferation activity.