ccLS provides a new tool for the diagnosis and differential diagnosis of solid renal tumors and can be used to assist radiologists in their daily diagnosis. In this study, Six radiologists were trained in the ccLS algorithm and scored independently using ccLS v1.0 and ccLS v2.0, respectively. The results show that although the interobserver agreement between ccLS v1.0 and ccLS v2.0 is comparable, the diagnostic performance of ccLS v2.0 in ccRCC is better than that of ccLS v1.0 and ccLS v2.0 reduces the percentage of ccRCC in 1-3 scores. This finding is helpful to improve the clinical universality of ccLS.
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Hao et al. (2024) studied this question.
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