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The role of nuclear morphometry for predicting disease outcome in patients with localized renal cell carcinoma
Background:
More than one-third of patients with localized renal cell carcinoma (RCC) will have disease progression after nephrectomy. Present histopathologic variables cannot accurately predict the outcome of individual patients.
Methods:
Nuclear morphometry was performed by an image analyzer on histologic sections from 39 specimens of pathologic T1 and T2 classification RCC. All patients underwent radical nephrectomy and were followed for a mean of 7.6 years. A univariate analysis and then a multivariate stepwise regression method were used to correlate results with patients' outcome.
Results:
The best predictors of disease free interval were mean nuclear elongation factor (MNEF) (P = 0.023), mean nuclear regularity factor (MNRF) (P = 0.034), and mean nuclear area (MNA) (N = 0.038). Univariate analysis identified a significant correlation between patient survival and MNEF (P = 0.009), MNRF (P = 0.020) and MNA (P = 0.023). Combination of MNEF and MNA was even more strongly associated with survival (P = 0.0013). Multivariate analysis revealed that MNA (P = 0.044) and MNEF (P = 0.045) correlated independently with survival.
Conclusion:
These results suggest that nuclear morphometry provides objective independent prognostic information for patients with localized RCC.