使用不同涂片制备方法对基于人工智能的自动白细胞形态分析系统进行鲁棒性评估。

IF 2.2 4区 医学 Q3 HEMATOLOGY International Journal of Laboratory Hematology Pub Date : 2024-07-25 DOI:10.1111/ijlh.14350
Mendamar Ravzanaadii, Yuki Horiuchi, Yosuke Iwasaki, Akihiko Matsuzaki, Kimiko Kaniyu, Jing Bai, Aya Konishi, Jun Ando, Miki Ando, Yoko Tabe
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引用次数: 0

摘要

导言:目前正在开发许多基于人工智能的系统来评估外周血(PB)涂片,但这些系统在不同涂片制备方法上的可行性尚未得到充分了解。在本研究中,我们评估了不同涂片制备方法对深度学习系统(DLS)稳健性的影响:我们从患者身上采集了 193 份 PB 样本,使用两种系统为每个样本制备了一对涂片:(1)SP50 涂片,由 DLS 推荐的全自动玻片制备双风扇干燥和染色(May-Grunwald Giemsa,M-G)系统使用 SP50(Sysmex)制备;(2)SP1000i 涂片,由 SP1000i(Sysmex)自动涂片制备单风扇干燥和手动 M-G 染色制备。使用 DI-60(Sysmex)捕捉 PB 细胞的数字图像,并用 DLS 进行细胞分类。灵敏度、特异性、阳性预测值(PPV)和阴性预测值(NPV)用于评估 DLS 的性能:两组涂片中所有细胞类型的特异性和 NPV 均为 97.4%-100%。SP50涂片的平均灵敏度和预测值分别为88.9%和90.1%,SP1000i涂片的平均灵敏度和预测值分别为87.0%和83.2%。SP1000i涂片的性能较低的原因是中性粒细胞前体的行内分类错误和淋巴细胞的行间分类错误:DLS在特异性和NPV方面的表现与推荐方法不同的系统制备的涂片一致。我们的结果表明,应用针对 DLS 系统优化的自动涂片制备系统可能非常重要。
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Robustness assessment of an automated AI-based white blood cell morphometric analysis system using different smear preparation methods

Introduction

Numerous AI-based systems are being developed to evaluate peripheral blood (PB) smears, but the feasibility of these systems on different smear preparation methods has not been fully understood. In this study, we assessed the impact of different smear preparation methods on the robustness of the deep learning system (DLS).

Methods

We collected 193 PB samples from patients, preparing a pair of smears for each sample using two systems: (1) SP50 smears, prepared by the DLS recommended fully automated slide preparation with double fan drying and staining (May–Grunwald Giemsa, M–G) system using SP50 (Sysmex) and (2) SP1000i smears, prepared by automated smear preparation with single fan drying by SP1000i (Sysmex) and manually stained with M–G. Digital images of PB cells were captured using DI-60 (Sysmex), and the DLS performed cell classification. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were used to evaluate the performance of the DLS.

Results

The specificity and NPV for all cell types were 97.4%–100% in both smear sets. The average sensitivity and PPV were 88.9% and 90.1% on SP50 smears, and 87.0% and 83.2% on SP1000i smears, respectively. The lower performance on SP1000i smears was attributed to the intra-lineage misclassification of neutrophil precursors and inter-lineage misclassification of lymphocytes.

Conclusion

The DLS demonstrated consistent performance in specificity and NPV for smears prepared by a system different from the recommended method. Our results suggest that applying an automated smear preparation system optimized for the DLS system may be important.

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来源期刊
CiteScore
4.50
自引率
6.70%
发文量
211
审稿时长
6-12 weeks
期刊介绍: The International Journal of Laboratory Hematology provides a forum for the communication of new developments, research topics and the practice of laboratory haematology. The journal publishes invited reviews, full length original articles, and correspondence. The International Journal of Laboratory Hematology is the official journal of the International Society for Laboratory Hematology, which addresses the following sub-disciplines: cellular analysis, flow cytometry, haemostasis and thrombosis, molecular diagnostics, haematology informatics, haemoglobinopathies, point of care testing, standards and guidelines. The journal was launched in 2006 as the successor to Clinical and Laboratory Hematology, which was first published in 1979. An active and positive editorial policy ensures that work of a high scientific standard is reported, in order to bridge the gap between practical and academic aspects of laboratory haematology.
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