2 results match your criteria: "and IRCCS Azienda Ospedaliera Universitaria San Martino - IST Genoa[Affiliation]"
Classification of Healthy Subjects and Alzheimer's Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: A Study Using Artificial Neural Networks.
Front Neurosci
January 2017
Department of Physiology and Pharmacology "Vittorio Erspamer", University of Rome "La Sapienza"Rome, Italy; Department of Neuroscience, IRCCS San Raffaele PisanaRome, Italy.
Previous evidence showed a 75.5% best accuracy in the classification of 120 Alzheimer's disease (AD) patients with dementia and 100 matched normal elderly (Nold) subjects based on cortical source current density and linear lagged connectivity estimated by eLORETA freeware from resting state eyes-closed electroencephalographic (rsEEG) rhythms (Babiloni et al., 2016a).
View Article and Find Full Text PDFTherapeutic Strategies and Clinical Outcome in Papillary Thyroid Microcarcinoma: A Multicenter Observational Study.
Eur Thyroid J
September 2016
Endocrinology, Nuclear Medicine and Autoimmunity Laboratory, Department of Internal Medicine, and Department of Experimental Medicine, Genoa University, and IRCCS Azienda Ospedaliera Universitaria San Martino - IST Genoa, Italy.
Purpose: Papillary thyroid microcarcinoma (MPTC) has an excellent prognosis. We aimed to evaluate the evolution of therapeutic strategies over time and the clinical outcome of MPTC.
Methods: In this retrospective multicenter observational study in a northwest Italian region, patients with intrathyroidal, unifocal tumor ≤1 cm in size, incidentally found at histology or preoperative cytology diagnosis, were included.