Publications by authors named "L Rivoli"

Purpose: To evaluate the sentinel lymph node (SLN) protocol for staging endometrial carcinomas, assessing its impact on surgical management, and determining indications for adjuvant therapies. The study also examines factors that may influence SNL mapping, particularly focusing on the failure of the technique due to obesity.

Methods: A retrospective analysis was conducted on the medical records of patients with a histological diagnosis of endometrial carcinoma, who underwent surgical staging with SLN biopsy.

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Introduction And Importance: The most common complication of pelvic organ prolapse is stress urinary incontinence, whereas hydronephrosis or stasis ulcers are quite rare and typical of severe stages. The best treatment for this unusual presentation is still controversial. Here we present our approach.

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The resistance index (RI) and the blood flow volume (Q) are the most used Doppler ultrasound (DUS) parameters to identify the presence of stenosis in arteriovenous fistula (AVF). However, the reliability of these indexes is now matter of concern, particularly in predicting subsequent thrombosis. In this study, we aimed at testing the diagnostic capacity of the Q/RI ratio (Q) for the early identification of AVF stenosis and for thrombosis risk stratification.

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Vascular and kidney dysfunction commonly co-exist. There is a need for biomarkers of vascular health. Circulating microRNAs are biomarkers; miR-126 is endothelial cell-enriched.

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Objective: Available biomarkers for monitoring primary glomerulonephritides (GNs), often lack the ability to assess longitudinal changes and have great variability with poor sensitivity. Accruing evidence has demonstrated that Neutrophil Gelatinase-Associated Lipocalin (NGAL), holds promising capacities in predicting renal function worsening in various renal diseases. We aimed at analyzing urinary NGAL (uNGAL) levels in a cohort of individuals with biopsy-proven GNs in order to evaluate its ability to reflect the entity of renal damage and to predict disease evolution overtime.

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