Small renal masses (SRM) are aheterogeneous group of tumors with varying metastatic potential. The increasing use and improvement in the quality of abdominal imaging have led to an increasingly earlier diagnosis of incidental SRM, which are asymptomatic and confined to the organ. Despite these advances in imaging and the growing use of renal tumor biopsies, preoperative diagnosis of malignancy remains difficult. The treatment of SRM has shifted away from radical nephrectomy and now primarily includes organ-sparing surgery or active surveillance. The optimal strategy for treating SRM is continuously evolving as studies from prospective data registries can identify factors that influence both short- and long-term patient outcomes. Recent research on biomarkers, imaging techniques, and machine learning offer promising approaches to adeeper understanding of tumor biology and treatment options for this patient population.
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