Background: Artificial intelligence (AI)-based systems are transforming cytopathology practice. The aim of this study was to evaluate the sensitivity of high-grade squamous intraepithelial lesion (HSIL) Papanicolaou (Pap) diagnosis assisted by the Hologic Genius Digital Diagnostics System (GDDS).
Methods: A validation study was performed with 890 ThinPrep Pap tests with the GDDS independently.
Objective: Axillary lymph node (LN) sampling is important for breast cancer staging and can be performed using fine needle aspiration (FNA). The aim of this study is to review the axillary LN FNAs performed at our institution prior to treatment, and to correlate their results with the available LN histology in order to evaluate the diagnostic utility of FNA.
Study Design: A total of 130 cases were retrospectively identified over a 1-year period and reviewed.