Scopio Labs X100HT数字形态学分析仪的性能评价及外周血涂片异常细胞检测。

Vincenzo De Iuliis, Sofia Chiatamone Ranieri
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引用次数: 0

摘要

Scopio Labs X100HT数字形态学系统设计用于自动分类白细胞(wbc)和识别病理元素,如原细胞,未成熟骨髓细胞和有核红细胞(nrbc)。本研究评估其诊断性能对手工显微镜,目前的金标准血液形态学。方法:分析来自Teramo“G. Mazzini医院”临床病理学常规工作量的400份外周血涂片样本:40份来自健康个体,360份来自根据国际血液学指南共识组内部标准选择的患者。在预分类和专家评审后,由两名经验丰富的病理学家使用手动显微镜和Scopio Labs X100HT全场PBS系统对每个样本进行评估。将数字系统预分类结果与人工计数和专家后分类进行比较。结果:Scopio Labs X100HT系统与人工显微镜检测中性粒细胞和淋巴细胞有很强的相关性(r = 0.93),与嗜酸性粒细胞有中等相关性(r = 0.80)。数字预分类与专家后分类之间的一致性在所有WBC分类中都很高(r范围为0.84至0.98)。受试者工作特征(ROC)分析显示,检测母细胞(AUC = 0.72)、未成熟髓样细胞(AUC = 0.79)和nrbc (AUC = 0.71)的诊断准确性中等,经专家评审后有所提高。结论:Scopio Labs X100HT全视野PBS系统在白细胞鉴别分析和异常细胞鉴定中表现可靠。专家后分类提高了诊断准确性,支持其在临床工作流程中与传统血液学分析仪一起使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of the Scopio Labs X100HT Digital Morphology Analyzer and Abnormal Cell Detection in Peripheral Blood Smears.

Introduction: The Scopio Labs X100HT digital morphology system has been designed to automate the classification of white blood cells (WBCs) and identify pathological elements such as blasts, immature myeloid cells, and nucleated red blood cells (NRBCs). This study evaluates its diagnostic performance against manual microscopy, the current gold standard for hematologic morphology.

Methods: A total of 400 peripheral blood smear samples from the routine workload of the Clinical Pathology of "G. Mazzini Hospital" in Teramo were analyzed: 40 from healthy individuals and 360 from patients selected according to internal criteria aligned with the International Consensus Group for Hematology guidelines. Each sample was evaluated using both manual microscopy and the Scopio Labs X100HT Full Field PBS system, in pre-classification and after expert review, by two experienced pathologists. The digital system pre-classified results were compared with manual counts and expert post-classification.

Results: The Scopio Labs X100HT system showed a strong correlation with manual microscopy for neutrophils and lymphocytes (r = 0.93), and a moderate correlation for eosinophils (r = 0.80). Agreement between digital pre-classification and expert post-classification was high across all WBC categories (r ranging from 0.84 to 0.98). Receiver operating characteristic (ROC) analysis demonstrated moderate diagnostic accuracy for detecting blasts (AUC = 0.72), immature myeloid cells (AUC = 0.79), and NRBCs (AUC = 0.71), which improved with expert review.

Conclusion: The Scopio Labs X100HT Full Field PBS system demonstrated reliable performance in WBC differential analysis and identification of abnormal cells. Expert post-classification enhances diagnostic accuracy, supporting its use in clinical workflows alongside traditional hematology analyzers.

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