Your browser doesn't support javascript.
loading
Two-site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN-1000 body fluid analyzer.
Favresse, Julien; Boland, Lidvine; Schellen, Marie; Fervaille, Caroline; Wuestenberghs, Fabien; Camboni, Alessandra; Chatelain, Bernard; Mullier, François; Defour, Jean-Philippe; Jacqmin, Hugues.
Afiliação
  • Favresse J; CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.
  • Boland L; Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.
  • Schellen M; Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.
  • Fervaille C; Pathology Department, CHU UCL Namur, Université catholique de Louvain, Yvoir, Belgium.
  • Wuestenberghs F; Department of Gastroenterology and Hepatology, CHU UCL Namur, Godinne University Hospital, UCLouvain, Yvoir, Belgium.
  • Camboni A; Pathology Department, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.
  • Chatelain B; CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.
  • Mullier F; CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Université catholique de Louvain, Yvoir, Belgium.
  • Defour JP; Hematology Laboratory, Department of Laboratory Medicine, St-Luc University Hospital and catholic University of Louvain, Brussels, Belgium.
  • Jacqmin H; Ludwig Cancer Research and de Duve Institute, Université catholique de Louvain, Brussels, Belgium.
Int J Lab Hematol ; 42(5): 544-551, 2020 Oct.
Article em En | MEDLINE | ID: mdl-32163671
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Citodiagnóstico / Biópsia Líquida / Células Neoplásicas Circulantes / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Citodiagnóstico / Biópsia Líquida / Células Neoplásicas Circulantes / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article