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FNAC of the breast, although effective for the diagnosis of breast lesions is largely subjective and a minority of cases cannot be classified as benign or malignant due to the morphological overlap. This hinders a definite diagnosis which may sometimes lead to unnecessary surgical biopsy. Morphometry in combination with FNAC is one such method of improving the diagnosis. Aims & Objective: To study the nuclear morphology with regard to nuclear diameter; nuclear area; coefficient of variation of nuclear area; nuclear/cytoplasmic ratio and the ratio of largest to smallest nuclear diameter (L:S ratio) on all breast aspirates (after histopathology correlation) performed at the Department of Pathology, MVJ MC and RH in a two year period for distinguishing benign lesions from Grade I Carcinoma. Methods: Sixty consecutive FNAC breast aspirates ratified by histology were studied from patients referred for a breast lump evaluation to the Department of Pathology, MVJ Medical College & Research Hospital between Aug 2010 to July 2012. Morphometric analysis was done on Haematoxylin & Eosin stained aspirates using the Image J Morphometric Software for image processing and analysis developed by National Institutes of Health, USA. Results: Nuclear morphometry calculated showed all the nuclear parameters were higher in the Grade I (well differentiated) carcinoma as compared to benign lesions, the highest difference being the mean nuclear area. Conclusion: Nuclear morphometry does helps in distinguishing the benign from Grade I carcinoma which is responsible for equivocal diagnosis in cytology.

Role of Nuclear Morphometry in distinguishing gray areas of breast lesions