Predicting post-surgical complications using renal scoring systems.

Current surgical approaches for renal malignancies primarily rely on qualitative factors such as patient preferences, surgeon experience, and hospital capabilities. Applying a quantitative method for consistent and reliable assessment of renal lesions would significantly enhance surgical decision-making and facilitate data comparison. Nephrometry scoring (NS) systems systematically evaluate and describe renal tumors based on their anatomical features. These scoring systems, including R.E.N.A.L., PADUA, MAP scores, C-index, CSA, and T-index, aim to predict surgical complications by evaluating anatomical and patient-specific factors. In this review paper, we explore the components and methodologies of these scoring systems, compare their effectiveness and limitations, and discuss their application in advancing patient care and optimizing surgical outcomes.

Abdominal radiology (New York). 2024 Oct 12 [Epub ahead of print]

Mahshid Golagha, Charles Hesswani, Shiva Singh, Fatemeh Dehghani Firouzabadi, Ali Sheikhy, Christopher Koller, W Marston Linehan, Mark W Ball, Ashkan A Malayeri

National Cancer Institute, Bethesda, USA., National Institutes of Health, Bethesda, USA., National Institutes of Health, Bethesda, USA. .