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Improving the diagnostic accuracy of small renal masses: Integration of radiomics and clear cell likelihood scores in multiparametric MRI

ABSTRACT

Accurate diagnosis of small renal masses is crucial for treatment planning. Combining radiomics analysis with the Clear Cell Likelihood Score (ccLS) in multiparametric MRI can effectively assess malignancy risk. This study aimed to evaluate the contribution of MRI-based radiomics analysis to the diagnostic performance of the ccLS in differentiating clear cell renal carcinoma (ccRCC).This retrospective study included patients with cT1a renal masses who underwent preoperative MRI and nephrectomy. Radiomic features were extracted from multiparametric MRI images, including T2-weighted imaging and contrast-enhanced T1-weighted imaging sequences. Qualitative assessment was performed using the ccLS version 2.0, based on multiparametric MRI findings. The diagnostic efficacies of the ccLS, radiomic analysis, and the combination of the two methods in differentiating ccRCCs were analyzed.

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Speciality

Radiology

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