The aim of this study was to determine the upgrade rate in diagnosis of biopsy-proven papillary breast lesions on core needle biopsy and their respective surgical excisions, and to assess for predictive factors associated with an upgrade at St. Luke’s Medical Center – Global City.

A retrospective review of our institution’s database identified 184 papillary breast lesions diagnosed by core needle biopsy. The study population consisted of 71 samples that met the inclusion criteria. The overall upgrade and concordance rates were determined and analyzed if there was any significant association with clinical demographics, radiologic findings, and core diameter on gross examination. Continuous variables were presented as mean and median, and Shapiro-Wilk test was used to assess normality of data. Categorical variables were expressed as frequencies and percentages. Simple logistic regression analysis with Firth’s bias correction was performed to determine the variables associated with a diagnostic upgrade. P values ≤0.05 were considered statistically significant.

A total 71 patients, all female, were included in the study. The overall upgrade rate was 8.45% (95% CI: 3.16-17.49%) in comparison with the diagnosis of the initial CNB and SE alone. This translated to 6/71 samples in this study. The overall concordance was 91.55% based on clinical significance, and an individual diagnosis concordance rate of 78.87%. None of the predictive factors (i.e., age, history of breast cancer, BI-RADS score, and gross core diameter) assessed showed an association with a diagnostic upgrade.

The computed overall upgrade rate is within range of currently published literature. The concordance rates for both clinical significance and individual diagnosis were quite high, suggesting good reproducibility of histopathologic diagnosis within our institution. This was also found to be consistent with other studies. Of the predictive factors, none showed an association to a diagnostic upgrade. Despite the latter, our findings may be of value within the medical center in further exploring and expanding the data set at hand, such that it may hopefully contribute to local guidelines in managing PBLs in the future.