ArticleWorld journal of urology2025
Development and validation of a nomogram combined pre-operative quantitative MR parameters for the prediction of pathological WHO/ISUP grade in clear cell renal cell carcinoma.
Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of Machine Learning Models Based on Medical Imaging in Predicting Pathological Grade of Clear Cell Renal Cell Carcinoma.Cancer medicine · 2026Pooled it
- MRI-based habitat radiomics for assessing synchronous metastatic risk in renal cell carcinoma: a multicenter study.Abdominal radiology (New York) · 2026Article
- Identification of risk factors for the development and prognosis of bone metastases in renal cell carcinoma: development and validation of a predictive model.American journal of cancer research · 2026Article
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4 authors.
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Abstract
purposeTo assess the predictive value of quantitative parameters derived from conventional MRI for determining the pathological WHO/ISUP grade in patients with clear cell renal cell carcinoma (ccRCC) before surgery, and to construct a nomogram based on these parameters.
methodsThis study analyzed ccRCC patients who underwent preoperative abdominal multi-sequence MRI, dynamic contrast-enhanced MRI, and nephrectomy at our hospital. Patients were pathologically classified into low-grade (WHO/ISUP 1/2) and high-grade (WHO/ISUP 3/4) groups. Information on clinical characteristics and quantitative MR parameters was collected. Multivariate logistic regression analyses were performed to create a nomogram incorporating the quantitative MR parameters with statistical significance to preoperatively predict the pathological grade of ccRCC. The area under the curve (AUC) was used to assess the nomogram's predictive performance.
resultsBinary univariate and multivariate logistic regression analyses identified maximum tumor diameter, ADC value, and corticomedullary enhancement as independent predictors of high-grade ccRCC. The quantitative MRI-based nomogram demonstrated high predictive performance, with an AUC of 0.936 (95% confidence interval [CI]: 0.901-0.972). What's more, we found an ADC value of 1.47 × 10
conclusionThe quantitative MR-based nomogram demonstrated excellent performance in the preoperative prediction of pathological WHO/ISUP grade in ccRCC.
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