ArticleBioMed research international2020
A Comparative Study of 2 Different Segmentation Methods of ADC Histogram for Differentiation Genetic Subtypes in Lower-Grade Diffuse Gliomas.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Paediatric thalamic tumours: a predictive MR phenotype.Neuroradiology · 2026Article
- Histogram analysis of diffusion weighted magnetic resonance imaging for predicting isocitrate dehydrogenase 1 mutation status in brain gliomas.Current journal of neurology · 2025Article
- Identification of Lower Grade Glioma Antigens Based on Ferroptosis Status for mRNA Vaccine Development.Pharmacogenomics and personalized medicine · 2024Article
- Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development.Journal of translational medicine · 2021Article
- Apparent diffusion coefficient for genetic characterization of untreated adult gliomas: A meta-analysis stratified by methods.Neuro-oncology advancesArticle
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5 authors at 2 institutions in 1 country.
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Abstract
backgroundTo evaluate the diagnostic performance of apparent diffusion coefficient (ADC) histogram parameters for differentiating the genetic subtypes in lower-grade diffuse gliomas and explore which segmentation method (ROI-1, the entire tumor ROI; ROI2, the tumor ROI excluding cystic and necrotic portions) performs better. MATERIALS AND
methodsWe retrospectively evaluated 56 lower-grade diffuse gliomas and divided them into three categories: IDH-wild group (IDH
resultsThe inhomogenity from the two different ROI methods for distinguishing IDH
conclusionADC values analyzed by the histogram method could help to classify the genetic subtypes in lower-grade diffuse gliomas, no matter which ROI method was used. Extracting cystic and necrotic portions from the entire tumor lesions is preferable for evaluating the difference of the intratumoral heterogeneity and classifying IDH-wild tumors, but not significantly beneficial to predicting the 1p19q genotype in the lower-grade gliomas.
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