Publications by authors named "D Fornarelli"

Background: Distinguishing between Charcot Neuroarthropathy (CN), osteomyelitis (OM), and CN complicated with superimposed OM in diabetic patients is crucial for the treatment choice. Given that current diagnostic methods lack specificity, advanced techniques, e.g.

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Article Synopsis
  • This study investigates how chest CT scans can assess lung damage in older COVID-19 patients and explore the link between imaging results and certain circulating markers in the blood, specifically microRNAs.
  • A retrospective analysis of 73 patients aged 75 and above identified CT parameters like lung consolidation percentage and CT-score as significant predictors of mortality in these patients.
  • The findings suggest that higher levels of serum microRNA miR-483-5p relate to greater lung involvement, helping to predict outcomes in older adults with COVID-19 pneumonia.
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The use of radiomics and artificial intelligence applied for the diagnosis and monitoring of Alzheimer's disease has developed in recent years. However, this approach is not yet completely applicable in clinical practice. The aim of this paper is to provide a systematic analysis of the studies that have included the use of radiomics from different imaging techniques and artificial intelligence for the diagnosis and monitoring of Alzheimer's disease in order to improve the clinical outcomes and quality of life of older patients.

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Language disorders can be the first symptom of many neurodegenerative diseases, including Alzheimer's disease (AD) and primary progressive aphasia (PPA). The main variants of PPA are: the non-fluent/agrammatic variant, the semantic variant and the logopenic variant.Several additional variants of PPA, however, have been described and are considered as atypical presentations.

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We investigated the possible correlation between functional and anatomical imaging techniques and clinical exams in patients with Alzheimer's and vascular dementia. We examined 24 patients affected with dementia, 16 of them with Alzheimer's disease. 7 with multiinfarct and 1 with mixed dementia.

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