Two‐site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN‐1000 body fluid analyzer. (12th March 2020)

• Record Type: Journal Article
• Authors: Favresse, Julien; Boland, Lidvine; Schellen, Marie; Fervaille, Caroline; Wuestenberghs, Fabien; Camboni, Alessandra; Chatelain, Bernard; Mullier, François; Defour, Jean‐Philippe; Jacqmin, Hugues
• Is Part Of: International journal of laboratory hematology. Volume 42:Number 5(2020:Oct.)
• Page Start: 544
• Page End: 551
• Publication Date: 2020-03-12
• Subjects: body fluids -- cell count -- malignant cell detection -- reflex testing rules -- Sysmex XN‐1000; Hematology -- Periodicals; Blood -- Diseases -- Periodicals; Hematology -- Periodicals; 616.15005
• DOI: 10.1111/ijlh.13187
• Languages: English
• ISSNs: 1751-5521

Abstract

Abstract: Introduction: The presence of high fluorescent cells (HF‐BF) on the Sysmex XN‐1000 hematology analyzers has gained interest regarding the prediction of malignant cells in body fluids, but lacks sensitivity. We aimed to increase this sensitivity by combining HF‐BF value, automated results, and clinical information. Methods: We evaluated a new workflow for the management of body fluids in the hematology laboratory, including the HF‐BF criterion and clinical information. In two laboratories, 1623 serous fluids were retrospectively analyzed on the XN‐1000 BF mode. All samples were morphologically screened for malignant cells. Optimal HF‐BF cutoffs were determined to predict their presence. Thereafter, the added value of clinical information was evaluated. Other reflex testing rules (eosinophilic count >5% and presence of the WBC Abnormal Scattergram flag) were also used to refine our workflow. Results: Optimal HF‐BF cutoffs in the two hematology centers were 108 and 45 cells/µL, yielding a sensitivity/specificity of 66.7/93.6% and 86.8/66.6% for malignant cell detection. When adding clinical information, sensitivity/specificity evolved to 100.0/68.9% and 100.0%/not determined. Of 104 samples containing malignant cells, 97 had positive clinical information; the remainder had a HF‐BF > cutoff. Conclusion: Combining clinical information and HF‐BF reached 100% sensitivity for malignant cell detection in body fluid analysis. Lack of robustness of the optimal HF‐BF cutoff deserves the use of local cutoffs. Rapid automated results reporting from the XN‐1000 BF mode are also feasible in clinical practice. Prospective evaluation of the workflow is needed before its implementation in clinical practice.