Promotor: B. van Ginneken and C. M. Schaefer-Prokop Copromotor: C. Jacobs Radboud University, Nijmegen 2018
Subsolid nodules represent a spectrum from pre-invasive to invasive adenocarcinomas. To make the differentiation, management guidelines advise long-term follow-up for many years to determine longitudinal changes. Risk prediction models would help in guiding the process. In this thesis we address a few issues with respect to human and computer-enhanced characterization and risk prediction of subsolid nodules that give more insight in optimizing and ideally individualizing management of this subset of lesions. Since subsolid nodules are seen less frequent than solid nodules, we took the advantage of the largest publicly available screening data base of the NLST for our studies.