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Performance Evaluation of Alarms and Parameters Generated by Hematology Analyzer during Detection of Circulating Sezary Cells of Peripheral Blood Smears / 现代检验医学杂志
Journal of Modern Laboratory Medicine ; (4): 92-96, 2017.
Article in Chinese | WPRIM | ID: wpr-613428
ABSTRACT
Objective To evaluate the performance alarms and parameters generated by hematology analyzer during detection of circulating sezary cells of peripheral blood smears.Methods Blood samples from patients with Sezary syndrome (n=21) were studied with Sysmex XN-9000 analyzer,and compared to patients with benign or tumoral skin lesions (n=48) and patients with chronic lymphoproliferative B-cell diseases (n=55) and normal person (n=45) used as control.Results In present series,the value of structural lymphoid parameters (ly-x and ly-z) and the alarm Blast/Abn Lympho were statistically higher in Sezary cases than in control cases (U=37,40,44,55,38,41,all P<0.05).Screening Sezary cells critical values of ly-x and ly-z determined by ROC curve were greater than or equal to 86 and was more than or equal to 68.The combination of above three indexes up (i.e.alarm Blast/Abn Lympho> 100,ly-x=86 and ly-z>68) sensitivity and specificity respectively for 100 % and 92.1 %,in order to get the best screening Sezary cells diagnostic efficiency.In addition,the value of ly-x was associated to the count of circulating Sezary cells and value of ly-z to the presence of large Sezary cells,both parameters described as prognostic factors.Conclusion The combination of alarm Blast/Abn Lympho and structural parameters (ly-x/ ly-z/ly-y) may allow to define rule of blood slide review to screen circulating Sezary cells.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Modern Laboratory Medicine Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Modern Laboratory Medicine Year: 2017 Type: Article