Evaluation and comparison of automated hematology analyzer, flow cytometry, and digital morphology analyzer for monocyte counting

被引:15
作者
Buoro, S. [1 ]
Moioli, V. [1 ]
Seghezzi, M. [1 ]
Previtali, G. [1 ]
Alessio, M. G. [1 ]
Lopez, R. Simon [2 ]
Ortolani, C. [3 ]
Ottomano, C. [4 ]
Lippi, G. [5 ]
机构
[1] Papa Giovanni XXIII Hosp, Clin Chem Lab, Bergamo, Italy
[2] Sysmex Corp, Kobe, Hyogo, Japan
[3] Univ Urbino, Biomol Sci, Urbino, Italy
[4] Synlab, Castenedolo, Italy
[5] Univ Verona, Clin Biochem Sect, Verona, Italy
关键词
digital morphology; flow cytometry; monocyte count; optical microscopy; Sysmex XN; CELLAVISION DM96; LABORATORY DIAGNOSIS; BLOOD; CLASSIFICATION; DIFFERENTIALS; NOMENCLATURE;
D O I
10.1111/ijlh.12868
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionThis study was aimed to evaluate monocyte counts on Sysmex XN-9000, Sysmex CyFlow Space System, and Sysmex DI60 and compare the performance of these systems with the reference optical microscopy (OM) assessment. MethodsIn all, 55 peripheral blood samples, collected in K(3)EDTA tubes, were analyzed with XN-9000, CyFlow System (FlowDiff1 and 2), DI60, and OM. Within-run imprecision was carried out using normal samples. Data comparison was performed with Passing-Bablok regression and Bland-Altman plots. ResultsThe within-run imprecision of monocyte count on XN, FlowDiff, OM, and DI60 ranged between 1.9% for FlowDiff 2 and 22.1% for DI60. The Passing-Bablok regression analysis of absolute count yielded slopes comprised between 0.93 (FlowDiff2 vs DI60) and 1.21 (DI60 vs OM), whereas the intercepts ranged between -0.002 (FlowDiff 1 vs FlowDiff 2) and 0.13 (FlowDiff1 and 2 vs DI60). Bland-Altman plots in absolute values yielded absolute bias comprised between -0.01x10(9)/L (FlowDiff 1 vs FlowDiff 2; DI60 vs OM) and 0.15x10(9) (XN-module vs DI60). ConclusionThe results of this analytical evaluation suggest that flow cytometry generates monocyte counts suitable for routine clinical use. OM or DI60 analysis may be useful for identifying morphologic abnormalities, but does not achieve a satisfactory level of accuracy for enumerating blood cells types such as monocytes, which are usually very low in peripheral blood.
引用
收藏
页码:577 / 585
页数:9
相关论文
共 32 条
[1]   Molecular characterization of a novel immune receptor restricted to the monocytic lineage [J].
Aguilar, H ;
Alvarez-Errico, D ;
García-Montero, AC ;
Orfao, A ;
Sayós, J ;
López-Botet, M .
JOURNAL OF IMMUNOLOGY, 2004, 173 (11) :6703-6711
[2]  
[Anonymous], LAB HEMATOL
[3]  
[Anonymous], ISH NEWS LETT
[4]  
[Anonymous], 2010, H20A2 CLSI
[5]   The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia [J].
Arber, Daniel A. ;
Orazi, Attilio ;
Hasserjian, Robert ;
Thiele, Jurgen ;
Borowitz, Michael J. ;
Le Beau, Michelle M. ;
Bloomfield, Clara D. ;
Cazzola, Mario ;
Vardiman, James W. .
BLOOD, 2016, 127 (20) :2391-2405
[6]   ICSH guidelines for the evaluation of blood cell analysers including those used for differential leucocyte and reticulocyte counting [J].
Briggs, C. ;
Culp, N. ;
Davis, B. ;
d'Onofrio, G. ;
Zini, G. ;
Machin, S. J. .
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2014, 36 (06) :613-627
[7]   Can automated blood film analysis replace the manual differential? An evaluation of the CellaVision DM96 automated image analysis system [J].
Briggs, C. ;
Longair, I. ;
Slavik, M. ;
Thwaite, K. ;
Mills, R. ;
Thavaraja, V. ;
Foster, A. ;
Romanin, D. ;
Machin, S. J. .
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2009, 31 (01) :48-60
[8]   Analytical comparison between two hematological analyzer systems: CAL-8000 vs. XN-9000 [J].
Buoro, S. ;
Mecca, T. ;
Seghezzi, M. ;
Manenti, B. ;
Azzara, G. ;
Dominoni, P. ;
Crippa, A. ;
Ottomano, C. ;
Lippi, G. .
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2017, 39 (02) :147-162
[9]   Short- and medium-term biological variation estimates of leukocytes extended to differential count and morphology-structural parameters (cell population data) in blood samples obtained from healthy people [J].
Buoro, Sabrina ;
Carobene, Anna ;
Seghezzi, Michela ;
Manenti, Barbara ;
Pacioni, Aurelio ;
Ceriotti, Ferruccio ;
Ottomano, Cosimo ;
Lippi, Giuseppe .
CLINICA CHIMICA ACTA, 2017, 473 :147-156
[10]   Laboratory diagnosis of anemia: are the old and new red cell parameters useful in classification and treatment, how? [J].
Buttarello, M. .
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2016, 38 :123-132