Literature DB >> 23930813

Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine.

Wanmao Ni1, Xiangmin Tong, Wenbin Qian, Jie Jin, Hongchan Zhao.   

Abstract

Malignant neutrophils of chronic myelogenous leukemia (CML) have similar antigen expression patterns compared to their normal counterparts, thus making the cells difficult to distinguish by clinical flow cytometry. In this study, we applied the support vector machine method to build a malignant neutrophil prediction model based on nine CML patients and nine healthy donors. This approach effectively differentiated between malignant and normal neutrophils with high specificity and sensitivity (≤95.80% and ≤95.30%, respectively). This approach may broaden the application of flow cytometry for differentiation between CML and normal neutrophils and become an important diagnostic tool in CML.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ABL; Abelson murine leukemia; BCR; CML; FCS; Flow cytometry; Immunophenotyping; LIBLINEAR; Mature neutrophils; PCR; ROC; SVM; Support vector machine; breakpoint cluster region; chronic myelogenous leukemia; flow cytometry standard; polymerase chain reaction; receiver operating characteristic; support vector machine

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Year:  2013        PMID: 23930813     DOI: 10.1016/j.compbiomed.2013.06.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

Review 1.  Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology.

Authors:  Hanadi El Achi; Joseph D Khoury
Journal:  Cancers (Basel)       Date:  2020-03-26       Impact factor: 6.639

  1 in total

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