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Clear cell likelihood score may improve diagnosis and management of renal masses

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Abstract

The detection of solid renal masses has increased over time due to incidental findings during imaging studies conducted for unrelated medical conditions. Approximately 20% of lesions measuring less than 4 cm are benign and 80% are malignant. Clear cell renal cell carcinoma (ccRCC) is the most frequent among renal carcinomas, responsible for 65–80% of cases. The increased detection of renal masses facilitates early diagnosis and treatment. However, it also leads to more invasive interventions, which result in higher morbidity and costs. Currently, only histological analysis can offer an accurate diagnosis. Surgical nephron loss significantly elevates morbidity and mortality rates. Active surveillance represents a conservative management approach for patients diagnosed with a solid renal mass that is endorsed by both American Urological Association and the European Society for Medical Oncology. However, active surveillance is used in a minority of patients and varies across institutions. The lack of clinical studies using a standardized approach to incidentally detected small renal masses precludes the widespread use of active surveillance. Hence, there is an urgent need for better patient selection, distinguishing those who require surgery from those suitable for active surveillance. The clear cell likelihood score (ccLS) represents a novel MRI tool for assessing the probability of a renal mass being a ccRCC. In this study, we present a comprehensive review of renal masses and their evaluation using the ccLS to facilitate shared decision between urologists and patients.

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Acknowledgements

We thank Carolina Braz Parente for English revision.

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Authors and Affiliations

  1. Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

    Eleonora Salles-Silva, Elissandra Melo Lima, Miguel Milito & Daniella Braz Parente

  2. Grupo Fleury, Rio de Janeiro, RJ, Brazil

    Eleonora Salles-Silva, Elissandra Melo Lima, Viviane Brandão Amorim & Daniella Braz Parente

  3. Brazilian National Cancer Institute, Rio de Janeiro, RJ, Brazil

    Viviane Brandão Amorim

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  1. Eleonora Salles-Silva
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Correspondence to Daniella Braz Parente.

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Salles-Silva, E., Lima, E.M., Amorim, V.B. et al. Clear cell likelihood score may improve diagnosis and management of renal masses. Abdom Radiol (2024). https://doi.org/10.1007/s00261-024-04415-4

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