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Updated: Mar 19, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
The Application Value of Flow Cytometry-Based Peripheral Blood Leukocyte Classification in Screening for Acute
Penghua Yan1,2, Lianfeng Wu1, Xiangyang Lin1
1Department of Clinical Laboratory, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Objective:
Assess the application value of flow cytometry (FCM) for peripheral blood leukocyte (PBL) classification in acute leukemia (AL) screening and monitoring.
Methods:
Analyzed EDTA-K2-anticoagulated blood from 100 nonhematological patients, 42 newly diagnosed AL patients, and 50 posttreatment leukemia patients using FCM, blood cell analyzers (BCA), and manual microscopy.
Results:
FCM and BCA showed significant positive correlations in classifying and counting neutrophils, eosinophils, basophils, lymphocytes, and monocytes (r = 0.994, 0.671, 0.946, 0.987, and 0.849, respectively; p < 0.01). A significant positive correlation was observed between FCM and manual methods in counting blast cells (r = 0.882, p < 0.01). Using microscopy as the reference standard and a cutoff value of ≥ 1% blast cells, FCM demonstrated 100% sensitivity, 85.7% specificity, and 97.8% accuracy in detecting blast cells. The type of peripheral blood blast cells provided by FCM showed good consistency with the clinical diagnosis of leukemia (Kappa value = 0.834). Additionally, a positive correlation was found between the detection rates of bone marrow and peripheral blood blast cells using FCM in posttreatment patients with leukemia (rs = 0.860, p < 0.01).
Conclusion:
FCM-based PBL classification is precise and efficient for detecting blasts, providing rapid subtype identification. Its strong correlation with marrow findings underscores its clinical utility in AL screening and monitoring.
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