ArticleQuantitative imaging in medicine and surgery2023
Differentiating angiomatous meningioma from atypical meningioma using histogram analysis of apparent diffusion coefficient maps.
Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Case report: preoperative radiological suspicion of atypical meningioma: A diagnostic challenge.Radiology case reports · 2026Article
- Angiomatous Meningioma With Postictal Hemiparesis: Clinical Presentation and Surgical Challenges in a Rare Case.Cureus · 2025Article
- Dual-energy CT combined with histogram parameters in the assessment of perineural invasion in colorectal cancer.International journal of colorectal disease · 2025Article
- ADC histogram analysis of tumor-infiltrating CD8+ T cell levels in meningioma.Neurosurgical review · 2025Article
- Prediction of O(6)-methylguanine-DNA methyltransferase promoter methylation status in IDH-wildtype glioblastoma using MRI histogram analysis.Neurosurgical review · 2024Article
- The value of whole tumor apparent diffusion coefficient histogram parameters in predicting meningiomas progesterone receptor expression.Neurosurgical review · 2024Article
- Differential diagnosis of atypical and anaplastic meningiomas based on conventional MRI features and ADC histogram parameters using a logistic regression model nomogram.Neurosurgical review · 2023Article
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Authors and funding
6 authors.
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Abstract
Background: Preoperative differentiation between angiomatous meningioma (AM) and atypical meningioma (ATM) is related to treatment planning. In this study, we explored the utility of apparent diffusion coefficient (ADC) histogram analysis in differentiating AM and ATM, and further assess the correlations between these parameters and the Ki-67 proliferation index. Methods: Thirty AM and 35 ATM patients were enrolled and their clinical and conventional magnetic resonance imaging (MRI) features were analyzed in this study. Nine ADC histogram parameters [mean, variance, skewness, and kurtosis, as well as the 1st (ADC1), 10th (ADC10), 50th (ADC50), 90th (ADC90), and 99th (ADC99) percentile of ADC] were selected and compared by independent Results: AM group showed a significantly higher mean [median (interquartile range): 124.07 (22.66) Conclusions: AM and ATM exhibit overlapping conventional MRI features. ADC histogram analysis, especially ADC1, maybe a reliable quantitative imaging biomarker for differentiation between AM and ATM.
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