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Anatomic Features of Enhancing Renal Masses Predict Malignant and High-Grade Pathology: A Preoperative Nomogram Using the RENAL Nephrometry Score
- Source :
- European Urology. 60:241-248
- Publication Year :
- 2011
- Publisher :
- Elsevier BV, 2011.
-
Abstract
- Counseling patients with enhancing renal mass currently occurs in the context of significant uncertainty regarding tumor pathology.We evaluated whether radiographic features of renal masses could predict tumor pathology and developed a comprehensive nomogram to quantitate the likelihood of malignancy and high-grade pathology based on these features.We retrospectively queried Fox Chase Cancer Center's prospectively maintained database for consecutive renal masses where a Nephrometry score was available.All patients in the cohort underwent either partial or radical nephrectomy.The individual components of Nephrometry were compared with histology and grade of resected tumors. We used multiple logistic regression to develop nomograms predicting the malignancy of tumors and likelihood of high-grade disease among malignant tumors.Nephrometry score was available for 525 of 1750 renal masses. Nephrometry score correlated with both tumor grade (p0.0001) and histology (p0.0001), such that small endophytic nonhilar tumors were more likely to represent benign pathology. Conversely, large interpolar and hilar tumors more often represented high-grade cancers. The resulting nomogram from these data offers a useful tool for the preoperative prediction of tumor histology (area under the curve [AUC]: 0.76) and grade (AUC: 0.73). The model was subjected to out-of-sample cross-validation; however, lack of external validation is a limitation of the study.The current study is the first to objectify the relationship between tumor anatomy and pathology. Using the Nephrometry score, we developed a tool to quantitate the preoperative likelihood of malignant and high-grade pathology of an enhancing renal mass.
- Subjects :
- Adult
Male
Nephrology
medicine.medical_specialty
Pathology
Biopsy
Urology
Urinary system
Context (language use)
Risk Assessment
Decision Support Techniques
Predictive Value of Tests
Risk Factors
Internal medicine
Odds Ratio
medicine
Health Status Indicators
Humans
Aged
Neoplasm Staging
Retrospective Studies
Aged, 80 and over
Philadelphia
Kidney
business.industry
Patient Selection
Anatomical pathology
Middle Aged
Nomogram
Prognosis
Tumor Pathology
Kidney Neoplasms
Radiography
Nomograms
Logistic Models
medicine.anatomical_structure
Predictive value of tests
Female
business
Subjects
Details
- ISSN :
- 03022838
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- European Urology
- Accession number :
- edsair.doi.dedup.....63ba5519a815ef4658547676dcd986ca
- Full Text :
- https://doi.org/10.1016/j.eururo.2011.03.029