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

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 relevant clinical information.

Source: Clinical Radiology - June 11, 2019 Category: Radiology Authors: J.A. Scott, S. McDermott, A. Kilcoyne, Y. Wang, E.F. Halpern, J.B. Ackman Source Type: research