Abstract
To evaluate mean nuclear major diameter (MNMjD) by using an image analysis system and to compare MNMjD-based nuclear morphometry with Fuhrman grading system in terms of correlation with clinicopathologic prognostic parameters in renal cell carcinoma (RCC). Ninety cases diagnosed as RCC were examined in terms of Furhman nuclear grade, histological subtype, renal capsular invasion, perinephric fat invasion, and renal vein and/or ureter invasion. MNMjD was assessed using a computer-assisted image analysis system on histological sections. In addition to the classic system, Fuhrman nuclear grades were examined by dividing into low grade and high grade groups. The correlation between parameters was evaluated statistically. Nuclear morphometry based on MNMjD has higher correlation with clinicopathologic prognostic parameters compared with the Fuhrman nuclear grading system, including individual grades and low grade and high grade groups. Nuclear morphometry is a valuable method in RCC grading and can be used as an alternative system considering its correlation with clinicopathologic prognostic parameters.
Highlights
Renal cell carcinoma (RCC), which ranks 3rd after prostate and bladder carcinomas among urinary system malignancies, constitutes 2-3 % of adult malignancies [1,2,3]
The quantitative assessment of nuclear morphometry is possible with computer imaging systems, providing a useful and reproducible method for predicting prognosis for many cancers [4]
We aimed to evaluate the mean nuclear major diameter (MNMjD), a nuclear morphometric method, by using an image analysis system and to compare MNMjD based nuclear morphometry with Fuhrman grading system in terms of correlation with clinicopathologic prognostic parameters in RCC
Summary
Renal cell carcinoma (RCC), which ranks 3rd after prostate and bladder carcinomas among urinary system malignancies, constitutes 2-3 % of adult malignancies [1,2,3]. Parameters of prognostic value are tumor stage, nuclear grade, histological subtype, clinical and laboratory findings of the patient and molecules defined in studies based on gene sequence examining variable expressions of thousands of genes. The relation of these parameters with prognosis has been discussed in many studies, and various results have been reported [69]. We aimed to evaluate the mean nuclear major diameter (MNMjD), a nuclear morphometric method, by using an image analysis system and to compare MNMjD based nuclear morphometry with Fuhrman grading system in terms of correlation with clinicopathologic prognostic parameters in RCC
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