Related Experiment Videos
Nuclear planimetry in renal-cell tumors
R González-Cámpora1, F J González de Chaves, J Mora-Marin
1Department of Pathology, University of Seville, Spain.
Analytical and Quantitative Cytology and Histology
|February 1, 1991
Summary
Objective nuclear measurements in renal tumors correlate with prognosis. Key factors like nuclear size and shape predict outcomes, aiding in understanding tumor aggressiveness and patient survival in renal cell carcinoma.
Area of Science:
- Urology
- Oncology
- Pathology
Background:
- Renal cell carcinoma (RCC) is a heterogeneous malignancy.
- Accurate prognostic markers are crucial for patient management.
- Morphometric analysis of nuclear features offers objective data.
Purpose of the Study:
- To correlate objective nuclear measurements with histologic and clinical prognostic factors in renal tumors.
- To investigate the utility of discriminant functions for differentiating renal adenomas and low-grade adenocarcinomas.
- To identify key nuclear parameters with predictive value for adverse outcomes.
Main Methods:
- Conventional planimetry was used for morphometric analysis.
- Study included 73 renal tumors (64 adenocarcinomas, 9 adenomas).
- Univariate and multivariate survival analyses (Cox models) were performed.
Main Results:
- Strong associations were found between nuclear grade and nuclear area, major diameter, and elongation.
- Adverse outcomes correlated with major nuclear diameter and nuclear elongation.
- Clinicopathologic stage, nuclear grade, pseudosarcomatous cells, major nuclear diameter, anaplastic cells, and nuclear area showed predictive value in survival analyses.
Conclusions:
- Objective nuclear measurements, particularly major diameter and area, are valuable prognostic indicators in renal cell carcinoma.
- While nuclear features show prognostic significance, a discriminant function to reliably separate adenomas from low-grade carcinomas could not be formulated.
- Morphometric analysis provides objective data that complements traditional prognostic factors in renal tumor evaluation.