OBJECTIVE: To determine whether nuclear morphometry can confirm or add useful information to classic clinicopathological prognosticators to identify the subpopulation of breast carcinoma patients with node-negative (N-) disease, at high risk of disease relapse. STUDY DESIGN: On the basis of results obtained by clinicopathologic evaluation of a group of patients with N- breast cancer, on a test group of 56 cases (32 patients disease free and 24 with relapse), we performed a morphometric analytical study of nuclei using the Shape Analytical Morphometry (SAM) software system; 20 nuclei for each case and 17 morphometric parameters for each nucleus were analyzed. RESULTS: The SAM system allowed us to quantify shape differences in nuclei in terms of contour irregularities and asymmetries along with evaluation of nuclear dimensions. Dimensional and analytic parameters were subjected to univariate (Student's t test) and multivariate (Hotelling's test) analysis. Multivariate discriminant analysis showed that an exact forecast of disease relapse could be made in 77% of patients with N- breast cancer by using a set of six both analytic and dimensional parameters. CONCLUSION: These results confirm that nuclear pleomorphism is the result of both contour irregularities and shape asymmetries and that even though they should be considered preliminary results, they stress the importance of quantitative shape evaluation.
OBJECTIVE: To determine whether nuclear morphometry can confirm or add useful information to classic clinicopathological prognosticators to identify the subpopulation of breast carcinomapatients with node-negative (N-) disease, at high risk of disease relapse. STUDY DESIGN: On the basis of results obtained by clinicopathologic evaluation of a group of patients with N- breast cancer, on a test group of 56 cases (32 patients disease free and 24 with relapse), we performed a morphometric analytical study of nuclei using the Shape Analytical Morphometry (SAM) software system; 20 nuclei for each case and 17 morphometric parameters for each nucleus were analyzed. RESULTS: The SAM system allowed us to quantify shape differences in nuclei in terms of contour irregularities and asymmetries along with evaluation of nuclear dimensions. Dimensional and analytic parameters were subjected to univariate (Student's t test) and multivariate (Hotelling's test) analysis. Multivariate discriminant analysis showed that an exact forecast of disease relapse could be made in 77% of patients with N- breast cancer by using a set of six both analytic and dimensional parameters. CONCLUSION: These results confirm that nuclear pleomorphism is the result of both contour irregularities and shape asymmetries and that even though they should be considered preliminary results, they stress the importance of quantitative shape evaluation.
Authors: Vincent J Tocco; Yuan Li; Keith G Christopher; James H Matthews; Varun Aggarwal; Lauren Paschall; Hendrik Luesch; Jonathan D Licht; Richard B Dickinson; Tanmay P Lele Journal: J Cell Physiol Date: 2017-07-31 Impact factor: 6.384
Authors: Yan Cui; Esther A Koop; Paul J van Diest; Rita A Kandel; Thomas E Rohan Journal: Breast Cancer Res Treat Date: 2006-10-24 Impact factor: 4.872
Authors: Karen M Imbalzano; Nathalie Cohet; Qiong Wu; Jean M Underwood; Anthony N Imbalzano; Jeffrey A Nickerson Journal: PLoS One Date: 2013-02-06 Impact factor: 3.240
Authors: Judith-Anne W Chapman; Naomi A Miller; H Lavina A Lickley; Jin Qian; William A Christens-Barry; Yuejiao Fu; Yan Yuan; David E Axelrod Journal: BMC Cancer Date: 2007-09-10 Impact factor: 4.430