A Clinical Radiomics Nomogram Was Developed by Integrating Radiomics Signatures and Clinical Variables to Distinguish High-Grade ccRCC from Type 2 pRCC

<div>Decision curve analysis (DCA) for the clinical factors model (blue line), radiomics signature (yellow line), and clinical radiomics nomogram (green line). The <i>Y</i> axis indicates the net benefit; the <i>X</i> axis indicates probability thresholds. The clinical radiomics nomogram and radiomics signature outperformed the clinical factors model in distinguishing high-grade clear cell renal cell carcinoma (ccRCC) from type 2 papillary renal cell carcinoma (pRCC).</div>

Journal of Oncology

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Figure 7: A Clinical Radiomics Nomogram Was Developed by Integrating Radiomics Signatures and Clinical Variables to Distinguish High-Grade ccRCC from Type 2 pRCC 

Figure 7 | A Clinical Radiomics Nomogram Was Developed by Integrating Radiomics Signatures and Clinical Variables to Distinguish High-Grade ccRCC from Type 2 pRCC 