Clinical application of cytomorphological analysis based on artificial intelligence in leukocyte classification
- VernacularTitle:基于人工智能的细胞形态学分析在白细胞分类中的临床应用
- Author:
Shi QIU
1
;
Pengfei SONG
;
Zhihong CHANG
;
Yinglong XIA
;
Lixin ZHANG
;
Ran LI
;
Sibo LIAN
;
Yixin WANG
;
Jie LIU
Author Information
- Keywords: automatic cytomorphological analyzer; automatic blood cell analyzer; manual counting method; white blood cell classification; peripheral blood; artificial intelligence
- From: Journal of Clinical Medicine in Practice 2023;27(23):1-5,11
- CountryChina
- Language:Chinese
- Abstract: Objective To explore the application value of automatic cytomorphological analyzer in the morphological analysis of white blood cells(WBC)in peripheral blood.Methods A total of 306 venous blood samples from inpatients and outpatients were randomly selected and prepared with automatic cytomorphological analyzer for WBC pre-classification.The differences between automatic cytomorphological analyzer counting,automatic blood cell analyzer counting and manual counting were compared,and the correlation between automatic cytomorphological analyzer and manual counting method was analyzed.Results Compared with the other two methods,the automatic cytomorphologi-cal analyzer was able to detect more types of WBC,especially abnormal cells.There were no signifi-cant differences between automatic cytomorphological analyzer and manual counting method for 6 ma-ture WBC types(band neutrophils,segmented neutrophils,lymphocytes,monocytes,eosinophils,and basophils),immature cells at different stages and atypical lymphocyte counts(P＞0.05).Re-sults of the 6 mature WBC types counted by the automatic cytomorphological analyzer and manual counting had favorable correlations(r＞0.8).Conclusion The automatic cytomorphological analyzer can classify more types of WBC,provide WBC counting results that are highly consistent with manual microscopy,and the counting results of the two methods have a good correlation.
