Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging

Objectives Solid renal masses have unknown malignant potential with commonly utilized imaging. Biopsy can offer a diagnosis of cancer but has a high non-diagnostic rate and complications. Reported use of multiparametric magnetic resonance imaging (mpMRI) to diagnose aggressive histology (i.e., clear cell renal cell carcinoma (ccRCC)) via a clear cell likelihood score (ccLS) was based on retrospective review of cT1a tumors. We aim to retrospectively assess the diagnostic performance of ccLS prospectively assigned to renal masses of all stages evaluated with mpMRI prior to histopathologic evaluation. Methods In this retrospective cohort study from June 2016 to November 2019, 434 patients with 454 renal masses from 2 institutions with heterogenous patient populations underwent mpMRI with prospective ccLS assignment and had pathologic diagnosis. ccLS performance was assessed by contingency table analysis. The association between ccLS and ccRCC was assessed with logistic regression. Results Mean age and tumor size were 60 +/- 13 years and 5.4 +/- 3.8 cm. Characteristics were similar between institutions except for patient age and race (bothp < 0.001) and lesion laterality and histology (bothp = 0.04). The PPV of ccLS increased with each increment in ccLS (ccLS1 5% [3/55], ccLS2 6% [3/47], ccLS3 35% [20/57], ccLS4 78% [85/109], ccLS5 93% [173/186]). Pooled analysis for ccRCC diagnosis revealed sensitivity 91% (258/284), PPV 87% (258/295) for ccLS >= 4, and specificity 56% (96/170), NPV 94% (96/102) for ccLS <= 2. Diagnostic performance was similar between institutions. Conclusions We confirm the optimal diagnostic performance of mpMRI to identify ccRCC in all clinical stages. High PPV and NPV of ccLS can help inform clinical management decision-making.

Automated summary

The study aimed to retrospectively evaluate the diagnostic performance of ccLS assigned to renal masses of all stages using mpMRI before histopathologic evaluation. The results confirm the optimal diagnostic performance of mpMRI in identifying ccRCC across all clinical stages. Pooled analysis showed high PPV and NPV of ccLS, supporting its use in clinical management decision-making.