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用于外周血异常淋巴细胞图像形态学分化的新定量特征。

New quantitative features for the morphological differentiation of abnormal lymphoid cell images from peripheral blood.

作者信息

Puigví Laura, Merino Anna, Alférez Santiago, Acevedo Andrea, Rodellar José

机构信息

Biomedical Diagnostic Center, Hospital Clínic of Barcelona, University of Barcelona, Barcelona, Spain.

CoDAlab, Polytechnic University of Catalonia, Barcelona, Spain.

出版信息

J Clin Pathol. 2017 Dec;70(12):1038-1048. doi: 10.1136/jclinpath-2017-204389. Epub 2017 Jun 13.

Abstract

AIMS

This work aims to propose a set of quantitative features through digital image analysis for significant morphological qualitative features of different cells for an objective discrimination among reactive, abnormal and blast lymphoid cells.

METHODS

Abnormal lymphoid cells circulating in peripheral blood in chronic lymphocytic leukaemia, B-prolymphocytic leukaemia, hairy cell leukaemia, splenic marginal zone lymphoma, mantle cell lymphoma, follicular lymphoma, T-prolymphocytic leukaemia, T large granular lymphocytic leukaemia and Sézary syndrome, normal, reactive and blast lymphoid cells were included. From 325 patients, 12 574 cell images were obtained and 2676 features (27 geometric and 2649 related to colour and texture) were extracted and analysed.

RESULTS

We analysed the 20 most relevant features for the morphological differentiation of the 12 lymphoid cell groups under study. Most of them showed significant differences: 19 comparing follicular and mantle cells, 18 for blast and reactive cells, 17 for Sézary cells and T prolymphocytes and 16 for B and T prolymphocytes and 16 for villous lymphocytes. Moreover, a total of five quantitative features were significant for the discrimination among reactive and the set of abnormal lymphoid cells included.

CONCLUSIONS

Image analysis may assist in quantifying cell morphology turning qualitative data into quantitative values. New cytological variables were established based on geometric and colour/texture features to contribute to a more accurate and objective morphological assessment of lymphoid cells and their association with flow cytometry methods may be interesting to explore in the next future.

摘要

目的

本研究旨在通过数字图像分析提出一组定量特征,以反映不同细胞的重要形态学定性特征,从而客观地区分反应性、异常和原始淋巴样细胞。

方法

纳入慢性淋巴细胞白血病、B 前淋巴细胞白血病、毛细胞白血病、脾边缘区淋巴瘤、套细胞淋巴瘤、滤泡性淋巴瘤、T 前淋巴细胞白血病、T 大颗粒淋巴细胞白血病和 Sézary 综合征患者外周血中循环的异常淋巴样细胞,以及正常、反应性和原始淋巴样细胞。从 325 名患者中获取了 12574 个细胞图像,并提取和分析了 2676 个特征(27 个几何特征以及 2649 个与颜色和纹理相关的特征)。

结果

我们分析了所研究的 12 个淋巴样细胞组形态分化的 20 个最相关特征。其中大多数特征显示出显著差异:19 个特征可区分滤泡细胞和套细胞,18 个特征可区分原始细胞和反应性细胞,17 个特征可区分 Sézary 细胞和 T 前淋巴细胞,16 个特征可区分 B 和 T 前淋巴细胞,16 个特征可区分绒毛淋巴细胞。此外,共有 5 个定量特征对于区分反应性细胞和所纳入的异常淋巴样细胞组具有显著意义。

结论

图像分析有助于量化细胞形态,将定性数据转化为定量值。基于几何和颜色/纹理特征建立了新的细胞学变量,以有助于更准确、客观地评估淋巴样细胞形态,并且在未来探索其与流式细胞术方法的关联可能会很有意义。

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