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

Magnetic Resonance Imaging
Alexey SurovEckhard Fiedler

Abstract

To analyze several histopathological features and their possible correlations with whole lesion histogram analysis derived from ADC maps in meningioma. The 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. A 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. ADC histogram analysis is a valid method with an excellent interob...Continue Reading

Citations

Jun 22, 2018·The British Journal of Radiology·Hans-Jonas MeyerAlexey Surov
Sep 23, 2020·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Liu XianwangZhou Junlin
Oct 18, 2018·Journal of Clinical Medicine·Alexey SurovAndreas Wienke
May 29, 2019·Journal of Neuroradiology. Journal De Neuroradiologie·Shun ZhangIlhami Kovanlikaya
Jul 10, 2021·Journal of Magnetic Resonance Imaging : JMRI·Shaobo FangShaowu Wang

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