Cristiana Fanciullo

TL;DR: The major issues regarding this multi-step process, focussing in particular on challenges of the extraction of radiomic features from data sets provided by computed tomography, positron emission tomographic, and magnetic resonance imaging are summarised.

TL;DR: Although no significant improvements were observed when applying the Combat harmonization method, both in-house and literature-based models were able to classify lung nodules with good generalization to an independent dataset, thus showing their potential as tools for clinical decision-making in lung cancer screening.

TL;DR: An overview of radiomics studies dealing with Magnetic Resonance Imaging (MRI)-based radiomics models of bone and soft-tissue sarcomas that could help distinguish different histotypes, low-grade from high-grade Sarcomas, predict response to multimodality therapy, and thus better tailor patients’ treatments and finally improve their survivals are offered.

TL;DR: Low-dose EOS has the same capability as CR to detect and measure en chondroma-like inserts on a phantom and may be considered to monitor patients with multiple enchondromas.