Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …

The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …

Purpose To assess the predictive power of pre-therapy 18 F-FDG PET/CT-based radiomic
features for epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …

Purpose Quantitative prostate-specific membrane antigen (PSMA) PET analysis may
provide for non-invasive and objective risk stratification of primary prostate cancer (PCa) …

In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Recently introduced long-axial field-of-view (LAFOV) PET/CT systems represent one of the
most significant advancements in nuclear medicine since the advent of multi-modality …

Purpose Pathological complete response (pCR) following neoadjuvant chemoradiotherapy
or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15 …

Artificial intelligence (AI) is currently regaining enormous interest due to the success of
machine learning (ML), and in particular deep learning (DL). Image analysis, and thus …

Featured Application The study proposes an analysis of the robustness of Positron Emission
Tomography (PET) radiomics features after PET image co-registration with two different …

First-order radiomic features, such as metabolic tumor volume (MTV) and total lesion
glycolysis (TLG), are associated with disease progression in early-stage classical Hodgkin …