Renal cancer management is challenging from diagnosis to treatment and follow-up. In
cases of small renal masses and cystic lesions the differential diagnosis of benign or …

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …

To date, diffusion weighted imaging (DWI) is included in routine magnetic resonance
imaging (MRI) protocols for several cancers. The real additive role of DWI lies in the …

Simple Summary Radiomics may answer questions where the conventional interpretation of
medical imaging has limitations. The aim of our systematic review and meta-analysis was to …

The wide availability of cross-sectional imaging is responsible for the increased detection of
small, usually asymptomatic renal masses. More than 50% of renal cell carcinomas (RCCs) …

Objectives To explore whether clear cell renal cell carcinoma (ccRCC), papillary renal cell
carcinoma (pRCC), and chromophobe renal cell carcinoma (cRCC) can be distinguished …

Simple Summary This Part II is an overview of the main applications of Radiomics in
oncologic imaging with a focus on diagnosis, prognosis prediction and assessment of …

Radiomics texture analysis offers objective image information that could otherwise not be
obtained by radiologists′ subjective radiological interpretation. We investigated radiomics …

Artificial intelligence (AI) applications in medicine continue to expand and involve virtually
every aspect of oncologic care. AI can be generally defined as a field in which computers …

Purpose To assess the diagnostic value of magnetic resonance imaging (MRI)-based
radiomics features using machine learning (ML) models in characterizing solid renal …