Two-site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN-1000 body fluid analyzer.


Journal

International journal of laboratory hematology
ISSN: 1751-553X
Titre abrégé: Int J Lab Hematol
Pays: England
ID NLM: 101300213

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 29 12 2019
revised: 12 02 2020
accepted: 23 02 2020
pubmed: 13 3 2020
medline: 9 2 2021
entrez: 13 3 2020
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 32163671
doi: 10.1111/ijlh.13187
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

544-551

Informations de copyright

© 2020 John Wiley & Sons Ltd.

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Auteurs

Julien Favresse (J)

CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.

Lidvine Boland (L)

Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.

Marie Schellen (M)

Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.

Caroline Fervaille (C)

Pathology Department, CHU UCL Namur, Université catholique de Louvain, Yvoir, Belgium.

Fabien Wuestenberghs (F)

Department of Gastroenterology and Hepatology, CHU UCL Namur, Godinne University Hospital, UCLouvain, Yvoir, Belgium.

Alessandra Camboni (A)

Pathology Department, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.

Bernard Chatelain (B)

CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.

François Mullier (F)

CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.

Jean-Philippe Defour (JP)

Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.
Ludwig Cancer Research and de Duve Institute, Université catholique de Louvain, Brussels, Belgium.

Hugues Jacqmin (H)

CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.

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