Background: Primary headaches (PH) are a group of disorders greatly impairing quality of life, highly prevalent in growing population. Previous studies suggested a rhinogenic involvement in PH episodes. Modifications of nasal cavities and septum take place during rapid maxillary expansion (RME).
View Article and Find Full Text PDFBackground: Differentiated thyroid carcinoma (DTC) has an excellent prognosis; however, advanced disease is associated with a worse prognosis and is relatively common. Surgery followed by RAI treatment remains the mainstream treatment for a large majority of patients with high- and intermediate-risk DTC, but its benefits should be carefully weighed against the potential for harm. The aim of this paper is to critically review the experience in treating advanced DTC at two tertiary referral centers in Italy.
View Article and Find Full Text PDFObjective: Intestinal inflammation with contradictory data on faecal calprotectin (fCP) levels is documented in patients with cystic fibrosis (CF). The aim of this study was to longitudinally evaluate fCP in a cohort of children with CF and their relationship with clinical variables.
Design: Prospective observational study to assess evolution of fCP levels, primary aimed at improving fat absorption.
(1) Background: The aim of our study is to investigate the main oral lesion patterns in patients with oral graft-versus-host disease and to describe and validate the use of endoscopy enhanced with narrow-band imaging (NBI) as a personalized, reliable and user-friendly tool for the early detection of oral potentially diseases. (2) Methods: We retrospectively evaluated the medical records of 20 patients with chronic GVHD and with oral manifestations, who were referred to our "Interdisciplinary Center for Oropharyngeal Pathology (CIPO)" from January 2017 to July 2022. (3) Results: Data on GVHD, oral localization and NBI endoscopic evaluation are collected.
View Article and Find Full Text PDFPurpose: This PRISMA-compliant systematic review aims to analyze the existing applications of artificial intelligence (AI), machine learning, and deep learning for rhinological purposes and compare works in terms of data pool size, AI systems, input and outputs, and model reliability.
Methods: MEDLINE, Embase, Web of Science, Cochrane Library, and ClinicalTrials.gov databases.