Cualing Hernani D, Zhong Eric, Moscinski Lynn
H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, Florida, USA.
Cytometry B Clin Cytom. 2007 Jan 15;72(1):63-76. doi: 10.1002/cyto.b.20148.
A method and approach is developed for fully automated measurements of immunostained lymphocytes in tissue sections by means of digital color microscopy and patent pending advanced cell analysis. The validation data for population statistic measurements of immunostained lymphocytes in tissue sections using tissue cytometry (TC) is presented. The report is the first to describe the conversion of immunohistochemistry (IHC) data to a flow cytometry-like two parameter dot-plot display, hence the technique is also a virtual flow cytometry. We believe this approach is a paradigm shift, as well as novel, and called the system iHCFlow TC. Seven issues related to technical obstacles to virtual flow cytometry (FC) are identified.
Segmentation of a 512 x 474 RGB image and tabular display of statistical results table took 12-15 s using proprietary developed algorithms. We used a panel of seven antibodies for validation on 14 cases of mantle cell lymphoma giving percentage positive, total lymphocytes, and staining density. A total of 2,027 image frames with 810,800 cell objects (COBs) were evaluated. Antibodies to CD3, CD4, CD8, Bcl-1, Ki-67, CD20, CD5 were subjected to virtual FC on tissue. The results of TC were compared with manual counts of expert observers and with the results of flow cytometric immunophenotyping of the same specimen.
The correlation coefficient and 95% confidence interval by linear regression analysis yielded a high concordance between manual human results (M), FC results, and TC results per antibody, (r = 0.9365 M vs. TC, r= 0.9537 FC vs. TC). The technical issues were resolved and the solutions and results were evaluated and presented.
These results suggest the new technology of TC by iHCFlow could be a clinically valid surrogate for both M and FC analysis when only tissue IHC is available for diagnosis and prognosis. The application for cancer diagnosis, monitoring, and prognosis is for objective, rapid, automated counting of immunostained cells in tissues with percentage results. We report a new paradigm in TC that converts IHC staining of lymphocytes to automated results and a flow cytometry-like report. The dot plot histogram display is familiar, intuitive, informative, and provides the pathologists with an automated tool to rapidly characterize the staining and size distribution of the immunoreactive as well as the negative cell population in the tissue. This systems tool is a major improvement over existing ones and satisfies fully the criteria to perform Cytomics (Ecker and Tarnok, Cytometry A 2005;65:1; Ecker and Steiner, Cytometry A 2004;59:182-190; Ecker et al., Cytometry A 2004;59:172-181).
开发了一种方法和途径,通过数字彩色显微镜和正在申请专利的先进细胞分析技术,对组织切片中的免疫染色淋巴细胞进行全自动测量。本文展示了使用组织细胞计数法(TC)对组织切片中免疫染色淋巴细胞进行群体统计测量的验证数据。该报告首次描述了将免疫组织化学(IHC)数据转换为类似流式细胞术的双参数点图显示,因此该技术也是一种虚拟流式细胞术。我们认为这种方法是一种范式转变,且具有创新性,将该系统称为iHCFlow TC。确定了与虚拟流式细胞术(FC)技术障碍相关的七个问题。
使用自主开发的算法,对512×474的RGB图像进行分割,并以表格形式显示统计结果表,耗时12 - 15秒。我们使用一组七种抗体,对14例套细胞淋巴瘤进行验证,得出阳性百分比、总淋巴细胞数和染色密度。共评估了2027个图像帧,包含810800个细胞对象(COB)。对组织进行针对CD3、CD4、CD8、Bcl - 1、Ki - 67、CD20、CD5的抗体虚拟FC分析。将TC结果与专家观察者的手动计数结果以及同一标本的流式细胞免疫表型分析结果进行比较。
通过线性回归分析得出的相关系数和95%置信区间显示,每种抗体的手动结果(M)、FC结果和TC结果之间具有高度一致性,(M与TC的r = 0.9365,FC与TC的r = 0.9537)。解决了技术问题,并对解决方案和结果进行了评估和展示。
这些结果表明,当仅可通过组织IHC进行诊断和预后评估时,iHCFlow的TC新技术可作为M和FC分析在临床上有效的替代方法。该技术在癌症诊断、监测和预后评估中的应用,是对组织中免疫染色细胞进行客观、快速、自动计数并给出百分比结果。我们报告了TC中的一种新范式,即将淋巴细胞的IHC染色转换为自动化结果和类似流式细胞术的报告。点图直方图显示熟悉、直观、信息丰富,为病理学家提供了一种自动化工具,可快速表征组织中免疫反应性细胞以及阴性细胞群体的染色和大小分布。该系统工具是对现有工具的重大改进,完全满足进行细胞组学的标准(Ecker和Tarnok,《细胞分析A》2005;65:1;Ecker和Steiner,《细胞分析A》2004;59:182 - 190;Ecker等人,《细胞分析A》2004;59:172 - 181)。