Detection of Platelet Clumps on Peripheral Blood Smears by CellaVision DM96 System and Microscopic Review

Gulati, Gene; Uppal, Guldeep; Florea, Alina Dulau; Gong, Jerald Z.

doi:10.1309/lm604rqvkvlrfxor

Cited by 12 publications

(15 citation statements)

References 8 publications

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“…Viewing of only a small segment of the PBS, either manually or by an automated morphological analyzer may cause misinterpretation of such cases leading to potentially inappropriate treatment decisions 4,5 . Previous automated digital microscopes fail to identify many of the specimens containing platelet clumps due to their narrow field of view, rendering manual microscope reviewing of samples with CBC‐derived thrombocytopenia essential 6,7,13‐15 . Previous digital microscopy users report limitations with respect to both platelets and RBC analysis, 14 and manual PBS analysis is recommended in various conditions 15 .…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis

Katz

Feldman

Tessema

et al. 2021

Int J Lab Hematology

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Background Current digital cell imaging systems perform peripheral blood smear (PBS) analysis in limited regions of the PBS and require the support of manual microscopy without achieving full digital microscopy. We report a multicenter study that validated the Scopio Labs X100 Full Field PBS, a novel digital imaging system that utilizes a full field view approach for cell recognition and classification, in a decision support system mode. Methods We analyzed 335 normal and 310 abnormal PBS from patients with various clinical conditions and compared the performance of Scopio's Full Field PBS as the test method, with manual PBS analysis as the reference method. Deming regression analysis was utilized for comparisons of WBC and platelet estimates. Measurements of WBC and platelet estimation accuracy along with the agreement on RBC morphology evaluation were performed. Reproducibility and repeatability (R&R) of the system were also evaluated. Results Scopio's Full Field PBS WBC accuracy was evaluated with an efficiency of 96.29%, sensitivity of 87.86%, and specificity of 97.62%. The agreement between the test and reference method for RBC morphology reached 99.77%, and the accuracy for platelet estimation resulted in an efficiency of 94.89%, sensitivity of 90.00%, and specificity of 96.28%, with successful R&R tests. The system enabled a comprehensive review of full field PBS as shown in representative samples. Conclusions Scopio's Full Field PBS showed a high degree of correlation of all tested parameters with manual microscopy. The novel full field view of specimens facilitates the long‐expected disengagement between the digital application and the manual microscope.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis

Katz

Feldman

Tessema

et al. 2021

Int J Lab Hematology

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“…Gulati et al collected 102 blood samples from 79 patients, whose ages ranged from 0 days (newborn) to 82 years. They reported a failure of the CellaVision to detect platelet clumps.…”

Section: Determination Of the Strengths And Weaknesses Of Available Pmentioning

confidence: 99%

Digital morphology analyzers in hematology: ICSH review and recommendations

Kratz

Lee

Zini

et al. 2019

Int J Lab Hematology

114

148

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Introduction Morphological assessment of the blood smear has been performed by conventional manual microscopy for many decades. Recently, rapid progress in digital imaging and information technology has led to the development of automated methods of digital morphological analysis of blood smears. Methods A panel of experts in laboratory hematology reviewed the literature on the use of digital imaging and other strategies for the morphological analysis of blood smears. The strengths and weaknesses of digital imaging were determined, and recommendations on improvement were proposed. Results By preclassifying cells using artificial intelligence algorithms, digital image analysis automates the blood smear review process and enables faster slide reviews. Digital image analyzers also allow remote networked laboratories to transfer images rapidly to a central laboratory for review, and facilitate a variety of essential work functions in laboratory hematology such as consultations, digital image archival, libraries, quality assurance, competency assessment, education, and training. Different instruments from several manufacturers are available, but there is a lack of standardization of staining methods, optical magnifications, color and display characteristics, hardware, software, and file formats. Conclusion In order to realize the full potential of Digital Morphology Hematology Analyzers, pre‐analytic, analytic, and postanalytic parameters should be standardized. Manufacturers of new instruments should focus on improving the accuracy of cell preclassifications, and the automated recognition and classification of pathological cell types. Cutoffs for grading morphological abnormalities should depend on clinical significance. With all current devices, a skilled morphologist remains essential for cell reclassification and diagnostic interpretation of the blood smear.

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“…Another relatively recently published study reported sensitivity in the range of 40.4% to 82.8% for the detection of platelet clumps/fibrin strands in blood smears by the CellaVision DM96 (Siemens Healthcare GmbH), which is an automated image analysis system. 6 These 2 systems may not be considered completely comparable because one (the CellaVision DM96) is semiautomated and uses stained blood smears for performing DIFFs and platelet scans, and the other (the Sysmex XE-5000) is fully automated and uses whole blood to perform the same analyses.…”

Section: Many Fibrin Strandsmentioning

confidence: 99%

Assessment of the Reliability of the Sysmex XE-5000 Analyzer to Detect Platelet Clumps

Gulati

Uppal

Gong

2016

Lab Med

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Detection of Platelet Clumps on Peripheral Blood Smears by CellaVision DM96 System and Microscopic Review

Cited by 12 publications

References 8 publications

Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis

Evaluation of Scopio Labs X100 Full Field PBS: The first high‐resolution full field viewing of peripheral blood specimens combined with artificial intelligence‐based morphological analysis

Digital morphology analyzers in hematology: ICSH review and recommendations

Assessment of the Reliability of the Sysmex XE-5000 Analyzer to Detect Platelet Clumps

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