Computational Flow Cytometry Accurately Identifies Sezary Cells Based on Simplified Aberrancy and Clonality Features

Flow cytometric identification of circulating neoplastic cells (Sezary cells) in patients with mycosis fungoides (MF) and Sezary syndrome (SS) is essential for diagnosis, staging and prognosis. While recent advances have improved the performance of this laboratory assay, the complex immunophenotype of Sezary cells and overlap with reactive T cells demand a high level of analytic expertise. We utilized machine learning to simplify this analysis using only 2 pre-defined Sezary cell-gating plots. We studied 114 samples from 59 patients with SS/MF, and 66 samples from unique patients with inflammatory dermatoses.
Source: Journal of Investigative Dermatology - Category: Dermatology Authors: Tags: Original Article Source Type: research