Medical Physics · 2014 · 25 citations · 29 references
MedicineOncologyRadiologyDiagnostic ImagingDiagnostic RadiologyOncologic ImagingComputed TomographyLymphoma ImagingMedical ImagingPositron Emission TomographyTherapy Response AssessmentTumor CharacterizationCancer ImagingComparative Diagnostic PerformanceComplete Response AssessmentComputed Tomography Texture AnalysisForward SelectionImaging Response EvaluationStepwise RegressionTexture Features
PURPOSE: To determine the diagnostic performance of three-dimensional (3D) texture analysis (TA) of contrast-enhanced computed tomography (CE-CT) images for treatment response assessment in patients with Hodgkin lymphoma (HL), compared with F-18-fludeoxyglucose (FDG) positron emission tomography/CT. METHODS: 3D TA of 48 lymph nodes in 29 patients was performed on venous-phase CE-CT images before and after chemotherapy. All lymph nodes showed pathologically elevated FDG uptake at baseline. A stepwise logistic regression with forward selection was performed to identify classic CT parameters and texture features (TF) that enable the separation of complete response (CR) and persistent disease. RESULTS: The TF fraction of image in runs, calculated for the 45° direction, was able to correctly identify CR with an accuracy of 75%, a sensitivity of 79.3%, and a specificity of 68.4%. Classical CT features achieved an accuracy of 75%, a sensitivity of 86.2%, and a specificity of 57.9%, whereas the combination of TF and CT imaging achieved an accuracy of 83.3%, a sensitivity of 86.2%, and a specificity of 78.9%. CONCLUSIONS: 3D TA of CE-CT images is potentially useful to identify nodal residual disease in HL, with a performance comparable to that of classical CT parameters. Best results are achieved when TA and classical CT features are combined.
29
Global Cancer Statistics, 2002
Donald Maxwell Parkin, Freddie Bray, Jacques Ferlay et al. · CA A Cancer Journal for Clinicians · 2005 · 18.4K citations · Full text
Statistical and structural approaches to texture
R.M. Haralick · Proceedings of the IEEE · 1979 · 5.7K citations
Guy Jérusalem, Yves Béguin, Marie‐France Fassotte et al. · Blood · 1999 · 556 citations
Medicine, Nuclear Medicine, Oncology +16