Diagnostic application of computerised nuclear morphometric image analysis in fine needle aspirates of breast lesions

Abstract

Background: Alterations in nuclear structure are the indications of cancer diagnosis. This study has thus focused on variation in nuclear morphometry in breast lesions. Aim: The aim of the study is to compare morphometric characteristics of different types of breast lesions and evaluate its utility in differentiating benign against malignant. Study Design: Sixty fine needle aspiration cytology (FNAC) of ethanol fixed samples were obtained and stained with Papanicolou stain. All diagnoses reported were confirmed histopathologically. Nuclear morphometric parameters for free cells in smears were calculated using the ImageJ 1.47 morphometric computer software. Result: The nuclear morphometric parameters including mean nuclear area, perimeter, diameter, long axis, and short axis were found to be statistically significant (ANOVA, P < 0.0001) in differentiating benign and malignant breast aspirates. Conclusion: Nuclear morphometry has been found to be a valuable objective method in differentiating benign and malignant breast lesions, especially in the grey zones, when diagnostic dilemmas are encountered. This study results demonstrate that the size-related parameters (area, perimeter, diameter, long, and short axes) of the nucleus are the most appropriate nuclear morphometric parameters for differentiating between benign lesions and infiltrative ductal carcinoma of the breast.