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Value of nuclear morphometry for differentiating localized from metastatic renal cell carcinoma
Objective:
To evaluate the feasibility of using nuclear morphometry of primary renal cell carcinoma to differentiate cases with localized tumors from those with metastases.
Methods:
Using an interactive image analysis system, nuclear morphometry was performed on hematoxylin- and eosin-stained slides of 40 primary renal tumors. There were 18 cases with organ-confined disease and 22 with advanced stage.
Results:
The most significant shape descriptor to differentiate between the two groups was mean nuclear regularity factor (889.5 +/- 24.4 vs. 701.1 +/- 157.3, p = 0.00015). The combination of mean nuclear area and mean nuclear regularity factor enabled accurate prediction of metastatic potential in 36 (85%) cases.
Conclusion:
Nuclear morphometry measured by image analysis provides prognostic information on patients with renal cell carcinoma.