Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …

Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Background In endometrial cancer (EC), preoperative pelvic MRI is recommended for local
staging, while final tumor stage and grade are established by surgery and pathology. MRI …

Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient
information directly from images that are decoded into handcrafted features, comprising …

Locally advanced rectal cancer (LARC) response to neoadjuvant chemoradiotherapy
(nCRT) is very heterogeneous and up to 30% of patients are considered non-responders …

Identifying MRI-based radiomics features capable to assess response to systemic treatment
in multiple myeloma (MM) patients. Retrospective analysis of whole-body MR-image data in …

Simple Summary In this study, we created a novel MRI-based machine learning model to
differentiate skull base chordoma and chondrosarcoma with multiparametric signatures …

Radiomics is an emerging field of research that aims to find associations between
quantitative information extracted from imaging examinations and clinical data to support the …