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Indian Journal of Pathology: Research and Practice

Volume  7, Issue 11, November 2018, Pages 1135-1140
 

Original Article

Nuclear Morphometric Analysis in Fine Needle Aspirates of Breast Neoplasms

Arunima Singhal1, Anjali Khare2, Sangeeta Sharma3, Rani Bansal4

1Junior Resident 2,3Professor 4Professor and Head, Department of Pathology, Subharti Medical College, Meerut, Uttar Pradesh 250005, India.

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DOI: http://dx.doi.org/10.21088/ijprp.2278.148X.71118.5

Abstract

Background: Fine needle aspiration cytology (FNAC) is applied as the primary tool for the diagnosis in breast masses because of its ease and rapidity. However, it is a largely subjective tool.
The morphological overlap among the sequential lesions from the precancerous group to frank carcinoma further cause “gray zone” in cytology, estimated to constitute 8.9%. Morphometry is the measurement of cell parameters microscopically by image analysis. The present study has been undertaken to evaluate role of nuclear morphometry in benign and malignant breast neoplasms. Aim: To classify breast lumps according to guidelines given by UK National Health Service Breast Screening Program (NHSBSP) and to compare the nuclear morphometry among those categories. Setting and design: A retrospective-prospective study. Material and Methods: Cases with palpable breast lumps were evaluated by FNAC and were cytologically classified according to UKNHSBSP guidelines. Nuclear Morphometric parameters: nuclear area, perimeter, long and short axis and diameter were studied and compared within the various categories. Statistical Analysis used: Student’s t test was used as the test of significance. Result: Mean age was 37.7 years. 47.3% cases belonged to Category C2 (benign), 6.8% cases to Category
C3 (atypia probably benign), 17.6% cases Category C4 (suspicious of malignancy) and 27% belonged to Category C5 (malignant). The nuclear morphometric parameters including nuclear area, perimeter, short axis, long axis and diameter were found to be statistically significant (p<0.05) in differentiating between benign and malignant categories. Conclusion: Nuclear morphometry serves as a valuable method in distinguishing benign and malignant breast aspirates and also correlates well with the cytological categories. 

 


Keywords : FNAC; UK NHSBSP Guidelines; Nuclear Morphometry. 
Corresponding Author : Anjali Khare, Professor, Department of Pathology, Subharti Medical College, Meerut, Uttar Pradesh 250005, India.