Journal of Nuclear Medicine · 2016 · 118 citations · 21 references
MedicineNuclear MedicineRadiologyDiagnostic ImagingDiagnostic RadiologyTumor HeterogeneityBreast Cancer ImagingMedical Image AnalysisMedical ImagingTexture AnalysisTumor CharacterizationTumor ImagingImage Texture AnalysisImage-based Heterogeneity ModelingIntra-tumor HeterogeneityTexture Change DetectionTexture ModelingVisual Comparison
Unlike a previous report, our study found that variations in texture indices were intuitive in the sphere models and real tumors: the most homogeneous uptake distribution exhibited the highest homogeneity and lowest entropy. Two families of texture index reflecting different types of uptake patterns were identified. Variability in texture index values as a function of voxel size and inclusion of tumor edges was demonstrated, calling for a standardized calculation methodology. This study provides guidance for nuclear medicine physicians in interpreting texture indices in future studies and clinical practice.
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