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http://dx.doi.org/10.1056/NEJM199608153350715 | DOI Listing |
Rheumatology (Oxford)
January 2025
Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, UK.
Objectives: Peripheral Sensory Neuropathy (PSN) is an under-recognized feature in systemic sclerosis (SSc). Moreover, SSc foot involvement is frequent but poorly investigated. We aimed to provide a detailed characterization of foot PSN in a large cohort of SSc patients, describing its associations with disease-specific features, physical disability, and Quality of Life (QoL).
View Article and Find Full Text PDFQual Life Res
January 2025
Occupational Medicine Department, University Hospital Sahloul, Sousse, Tunisia.
Background: Since the COVID-19 pandemic, health care workers (HCWs) faced an enormous physical and mental burden, sometimes altering their quality of life due mainly to persistent challenges stemming from their frontline position.
Aims: Todetermine the prevalence of post-COVID-19 syndrome, and its impact on the Health-Related Quality of Life (HRQoL) among HCWs.
Methods: This is an exhaustive cross-sectional study with analytical scope, conducted among all HCWs of the University Hospital Sahloul of Sousse, Tunisia, who have contracted COVID-19 between September 2020 and 30 March 2021 (N=529 cases).
J Patient Rep Outcomes
January 2025
EuroQol Research Foundation, Rotterdam, The Netherlands.
Background: Multiple diseases, such as Adolescent Idiopathic Scoliosis (AIS), present at adolescent age and the impact on quality of life (QoL) prolongs into adulthood. For the EQ-5D, a commonly used instrument to measure QoL, the current guideline is ambiguous whether the youth or adult version is to be preferred at adolescent age. To assess which is most suitable, this study tested for equivalence along predefined criteria of the youth (EQ-5D-5L) and adult (EQ-5D-Y-5L) version in an adolescent population receiving bracing therapy for AIS.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Urological Surgical, JiangNan University Medical Center, Wuxi, China.
Objective: To conduct a meta-analysis assessing the diagnostic performance of the node reporting and data system (Node-RADS) for detecting lymph node (LN) invasion.
Method: We performed a systematic literature search of online scientific publication databases from inception up to July 31, 2024. We used the quality assessment of diagnostic accuracy studies-2 (QUADAS-2) to assess the study quality, and heterogeneity was determined by the Q-test and measured with I statistics.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
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