The Application of Probabilistic Approach and its Diagnostic Accuracy in Reporting Breast Fine Needle Aspirates
Journal Title: Indian Journal of Pathology: Research and Practice - Year 2018, Vol 7, Issue 1
Abstract
Background: Breast cancer is 2nd most common malignancy in Indian women. FNAC is first line of investigation for breast lump. Aims: 1)To diagnose and classify breast lesions on cytology according to probabilistic approach. 2) To evaluate accuracy of probabilistic approach by correlating with Histopathological diagnosis wherever possible. Study Design: Prospective study of FNACs classified into positive, suspicious, proliferative with atypia, proliferative without atypia and unremarkable categories. Results: Total 237 cases were studied. The probability of finding carcinoma on histopathology from positive, suspicious and proliferative with atypia categories were 100%, 80% and 43.75% respectively. All the lesions from proliferative without atypia and unremarkable categories were benign on histology. There were no false positive cases. The specificity and sensitivity were 100% and 90.54%. Conclusion: The probabilistic approach with defined diagnostic criteria is an accurate, uniform and reduces inter-observer variability. It minimizes false positives without compromising sensitivity for detecting carcinoma. This scheme of reporting breast FNA provide the rational basis for guidelines for management of breast lesions.
Authors and Affiliations
Sarda S. D
Keywords
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- EP ID EP512470
- DOI 10.21088/ijprp.2278.148X.7118.14
- Views 59
- Downloads 0
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