The prognostic value of nuclear morphometric analysis in serous ovarian carcinoma

The objective of this study was to determine whether nuclear morphometric data can predict survival, disease progression, and chemotherapeutic response in ovarian serous carcinoma. Nuclear morphometric parameters were determined from archival hematoxylin and eosin sections of 132 serous tumors. Clinicopathologic and morphometric parameters were evaluated as to their individual and independent prognostic value and prediction of chemotherapy response. Nuclear parameters were found to strongly correlate with extent of disease residuum, tumor grade, and FIGO stage. Univariate analysis revealed stage, grade, preoperative CA125, presence of ascites, extent of disease residuum, standard deviation of nuclear area (SDNA), nuclear perimeter (NP), SDNP, nuclear length (NL), nuclear breadth (NB), orthoferet, and equivalent diameter (ED) to be significant predictors of overall survival (OS) and disease-free survival (DFS). Grade, stage, extent of disease residuum, presence of ascites, SDNA, NP, NL, NB, and orthoferet were found to be significant predictors of chemotherapy response. Multivariate analysis revealed extent of disease residuum (P