0000000001177909

AUTHOR

Annalaura Salerno

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Texture analysis in susceptibility-weighted imaging may be useful to differentiate acute from chronic multiple sclerosis lesions.

2020

To evaluate the diagnostic performance of texture analysis (TA) applied on non-contrast-enhanced susceptibility-weighted imaging (SWI) to differentiate acute (enhancing) from chronic (non-enhancing) multiple sclerosis (MS) lesions. We analyzed 175 lesions from 58 patients with relapsing-remitting MS imaged on a 3.0 T MRI scanner and applied TA on T2-w and SWI images to extract texture features. We evaluated the presence or absence of lesion enhancement on T1-w post-contrast images and performed a computational statistical analysis to assess if there was any significant correlation between the texture features and the presence of lesion activity. ROC curves and leave-one-out cross-validation…

AdultMalemedicine.medical_specialtyAdolescentContrast Media030218 nuclear medicine & medical imagingLesion03 medical and health sciencesYoung Adult0302 clinical medicineMultiple Sclerosis Relapsing-RemittingImage Processing Computer-AssistedMedicineHumansMultiple sclerosiRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedLeast-Squares AnalysisNeuroradiologyAgedRetrospective Studiesmedicine.diagnostic_testReceiver operating characteristicbusiness.industryMultiple sclerosisUltrasoundReproducibility of ResultsMagnetic resonance imagingGeneral MedicineMiddle Agedmedicine.diseaseMagnetic Resonance ImagingRegressionLogistic modelsContrast agentROC Curve030220 oncology & carcinogenesisArea Under CurveSusceptibility weighted imagingAcute DiseaseChronic DiseaseRegression AnalysisFemaleRadiologymedicine.symptomSettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessEuropean radiology
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