0000000000306527

AUTHOR

Laura Tofanelli

showing 2 related works from this author

Body composition with dual energy X-ray absorptiometry: from basics to new tools

2020

Dual-energy X-ray absorptiometry (DXA) in nowadays considered one of the most versatile imaging techniques for the evaluation of metabolic bone disorders such as osteoporosis, sarcopenia and obesity. The advantages of DXA over other imaging techniques are the very low radiation dose, its accuracy and simplicity of use. In addition, fat mass (FM) and lean mass (LM) values by DXA shows very good accuracy compared to that of computed tomography and magnetic resonance imaging. In this review we will explain the technical working principles of body composition with DXA, together with the possible limitations and pitfalls that should be avoided in daily routine to produce high-quality DXA examina…

medicine.diagnostic_testIntra-Abdominal Fatbusiness.industryOsteoporosis030209 endocrinology & metabolismMagnetic resonance imagingReview Articlemedicine.diseasemusculoskeletal systemFat mass03 medical and health sciences0302 clinical medicineSarcopeniamedicineLean body massRadiology Nuclear Medicine and imaging030212 general & internal medicineLipodystrophyNuclear medicinebusinesshuman activitiesDual-energy X-ray absorptiometry
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Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors

2021

AbstractThis study aims to investigate the influence of interobserver manual segmentation variability on the reproducibility of 2D and 3D unenhanced computed tomography (CT)- and magnetic resonance imaging (MRI)-based texture analysis. Thirty patients with cartilaginous bone tumors (10 enchondromas, 10 atypical cartilaginous tumors, 10 chondrosarcomas) were retrospectively included. Three radiologists independently performed manual contour-focused segmentation on unenhanced CT and T1-weighted and T2-weighted MRI by drawing both a 2D region of interest (ROI) on the slice showing the largest tumor area and a 3D ROI including the whole tumor volume. Additionally, a marginal erosion was applied…

Artificial intelligenceFuture studiesIntraclass correlationChondrosarcomaBone NeoplasmsArticleRegion of interestNeoplasmsArtificial intelligence Chondroma Chondrosarcoma Neoplasms Radiomics Texture analysisHumansMedicineRadiology Nuclear Medicine and imagingSegmentationTexture featureRetrospective StudiesObserver VariationReproducibilityRadiomicsRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryReproducibility of ResultsMagnetic resonance imagingmedicine.diseaseMagnetic Resonance ImagingComputer Science ApplicationsTexture analysisFeature (computer vision)ChondrosarcomaTomography X-Ray ComputedbusinessNuclear medicineChondromaChondromaJournal of Digital Imaging
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