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- W1976016826 abstract "Inflammatory rheumatic diseases are leading causes of disability and constitute a frequent medical disorder, leading toinability to work, high comorbidity and increased mortality. The gold-standard for diagnosing and differentiating arthritis isbased on patient conditions and radiographic findings, as joint erosions or decalcification. However, early signs of arthritis arejoint effusion, hypervascularization and synovial hypertrophy. In particular, vascularization has been shown to correlate witharthritis’ destructive behavior, more than clinical assessment.Contrast Enhanced Ultrasound (CEUS) examination of the small joints is emerging as a sensitive tool for assessingvascularization and disease activity. The evaluation of perfusion pattern rely on subjective semi-quantitative scales, that areable to capture the macroscopic degree of vascularization, but are unable to detect the subtler differences in kinetics perfusionparameters that might lead to a deeper understanding of disease progression and a better management of patients.Quantitative assessment is mostly performed by means of the Qontrast software package, that requires the user to define aregion of interest, whose mean intensity curve is fitted with an exponential function. We show that using a morephysiologically motivated perfusion curve, and by estimating the kinetics parameters separately pixel per pixel, thequantitative information gathered is able to differentiate more effectively different perfusion patterns.In particular, we will show that a pixel-based analysis is able to provide significant markers differentiating rheumatoidarthritis from simil-rheumatoid psoriatic arthritis, that have non-significant differences in clinical evaluation (DAS28),serological markers, or region-based parameters." @default.
- W1976016826 created "2016-06-24" @default.
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- W1976016826 date "2014-03-20" @default.
- W1976016826 modified "2023-10-16" @default.
- W1976016826 title "A comparison of region-based and pixel-based CEUS kinetics parameters in the assessment of arthritis" @default.
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- W1976016826 doi "https://doi.org/10.1117/12.2042801" @default.
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