Comparison of 18F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Part II: artificial neural network integration of the PET/CT characteristics of ground-glass opacities to predict their likelihood of malignancy.
Sign Up to like & getrecommendations! Published in 2019 at "Clinical radiology"
DOI: 10.1016/j.crad.2019.04.024
Abstract: AIM To assess the ability of artificial neural networks (ANNs) to predict the likelihood of malignancy of pure ground-glass opacities (GGOs), using observations from computed tomography (CT) and 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET) images and… read more here.
Keywords: likelihood malignancy; glass opacities; ground glass;
Likelihood of malignancy in thyroid nodules according to a proposed Thyroid Imaging Reporting and Data System (TI-RADS) classification merging suspicious and benign ultrasound features.
Sign Up to like & getrecommendations! Published in 2017 at "Archives of endocrinology and metabolism"
DOI: 10.1590/2359-3997000000262
Abstract: Objective The aim of this study was to describe the ultrasound features of benign and malignant thyroid nodules and evaluate the likelihood of malignancy associated with each feature according to the Bethesda System for Reporting… read more here.
Keywords: thyroid nodules; system; malignancy; likelihood malignancy ... See more keywords