Men treated for prostate cancer often have unexpected outcomes despite predictive models based on stage, grade and prostate-specific antigen (PSA). Previous results have indicated that nuclear morphometry can predict patient outcome in urologic malignancies. Application of this analytical method in
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The role of nuclear morphometry for predicting disease outcome in patients with localized renal cell carcinoma
โ Scribed by Ofer Nativ; Edmond Sabo; Gil Raviv; Ora Medalia; Boaz Moskovitz; Benad Goldwasser
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 414 KB
- Volume
- 76
- Category
- Article
- ISSN
- 0008-543X
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## BACKGROUND. Greater than 20% of patients with apparently localized renal cell carcinoma (RCC) present with disease progression after surgery. The objective of the current study was to improve the ability of clinicians to predict prognosis in patients with localized RCC. ## METHODS. The authors
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