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 …

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 …

Background Differentiating benign from malignant renal tumors is important for selection of
the most effective treatment. Purpose To develop magnetic resonance imaging (MRI)‐based …

Early intervention in kidney cancer helps to improve survival rates. Abdominal computed
tomography (CT) is often used to diagnose renal masses. In clinical practice, the manual …

Solid renal masses (SRMs) are increasingly detected and encompass both benign and
malignant masses, with renal cell carcinoma (RCC) being the most common malignant …

Context The epidemiological signature of renal cell carcinoma (RCC) during the past
decades is explained by overdetection and overtreatment of indolent cancers; furthermore, a …

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 …

Objectives Standard magnetic resonance imaging (MRI) techniques are different to
distinguish minimal fat angiomyolipoma (mf-AML) with minimal fat from renal cell carcinoma …

Objective: Pre-operative differentiation between renal oncocytoma (RO) and chromophobe
renal cell carcinoma (chRCC) is critical due to their different clinical behavior and different …