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Reliability of the DI-60 Digital Image Analyzer for Detecting Platelet Clumping and Obtaining Accurate Platelet Counts

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Abstract
Pseudothrombocytopenia caused by platelet clumping (PC) can lead to unnecessary platelet transfusions or underdiagnosis of hematologic neoplasms. To overcome these limitations, we assessed the capacity of the Sysmex DI-60 digital morphology analyzer (Sysmex, Kobe, Japan) for detecting PC and determining an accurate platelet count in the presence of PC. For this purpose, 135 samples with or without PC (groups Y and N, respectively) were processed by an examiner (a hematologic specialist) using both the Sysmex XN-9000 and DI-60 analyzers. Although the platelet aggregate (PA) and giant platelet (GP) counts reported by the DI-60 and the examiner exhibited strong correlations, they proved inadequate as effective indicators for screening samples containing PC. Between the PA and GP counts and four platelet indices (the platelet distribution width [PDW], mean platelet volume [MPV], platelet large cell ratio [P_LCR], and plateletcrit [PCT]) reported by the XN-9000, we observed statistically significant correlations (both overall and with group Y), but they were relatively weak. The platelet counts determined using the DI-60 and light microscopy in group Y showed substantial variations. Although the performance of the DI-60 was reliable for detecting PA and GP in smear images, such fixed areas are not representative of whole samples. Further, in the presence of PC, the resulting platelet counts determined using the DI-60 were not sufficiently accurate to be accepted as the final count.
All Author(s)
Suhyeon Woo ; Bohyun Kim ; Nam Hun Heo ; Min-Sun Kim ; Young Ahn Yoon ; Young-Jin Choi
Issued Date
2024
Type
Article
Keyword
Digital image analyzerHematologic neoplasmLight microscopyPlatelet aggregationPseudothrombocytopenia
Publisher
대한진단검사의학회
Korean Society for Laboratory Medicine
ISSN
2234-3806 ; 2234-3814
Citation Title
Annals of laboratory medicine
Language(ISO)
eng
DOI
10.3343/alm.2024.0003
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/3477
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