Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.

Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.
复制标题

免疫组织化学自动定量评分中多光谱成像的效用。

DOI:
10.1136/jclinpath-2012-200734
复制
发表时间:
2012-06
影响因子:
3.4
通讯作者:
Flavin R
Flavin R
中科院分区:
医学3区
文献类型:
--
作者:
Fiore C;Bailey D;Conlon N;Wu X;Martin N;Fiorentino M;Finn S;Fall K;Andersson SO;Andren O;Loda M;Flavin R

文献摘要

参考文献

被引文献

相似文献

自动扫描设备和图像分析软件提供了一种手段,以克服手动半定量评分的免疫组织化学的局限性。自动成像系统的常见缺点包括不能对组织类型进行分类以及不能分离细胞质和细胞核染色。在福尔马林固定的石蜡包埋组织的组织微阵列(TMA)上对膜标志物α-连环蛋白、胞质标志物stathmin和核标志物Ki-67进行免疫组织化学,所述组织微阵列包括471例(α-连环蛋白和stathmin)和511例(Ki-67)前列腺癌病例。使用两种市售自动图像分析仪,Ariol SL-50系统和来自CRi的Nuance系统,对这些TMA进行定量分析。这两种系统都使用明场显微镜进行免疫组织化学的自动化、无偏和标准化定量,而Nuance系统具有光谱去卷积功能。两个系统评分之间的总体一致性极佳(r=0.90; 0.83-0.95)。与多光谱成像仪相关的软件允许将组织类型准确自动分类为上皮腺体结构和间质,并将染色单步分割为细胞质或细胞核隔室,从而允许对这些区域进行独立评估。然而,Nuance系统无法可靠地区分肿瘤和非肿瘤组织。此外,还注意到两个系统之间分析所需的人力和时间存在差异。尽管有局限性,这项研究表明,使用多光谱成像系统在免疫组织化学的自动化分析一些有益的作用。
Automated scanning devices and image analysis software provide a means to overcome the limitations of manual semiquantitative scoring of immunohistochemistry. Common drawbacks to automated imaging systems include an inability to classify tissue type and an inability to segregate cytoplasmic and nuclear staining. Immunohistochemistry for the membranous marker α-catenin, the cytoplasmic marker stathmin and the nuclear marker Ki-67 was performed on tissue microarrays (TMA) of archival formalin-fixed paraffin-embedded tissue comprising 471 (α-catenin and stathmin) and 511 (Ki-67) cases of prostate adenocarcinoma. These TMA were quantitatively analysed using two commercially available automated image analysers, the Ariol SL-50 system and the Nuance system from CRi. Both systems use brightfield microscopy for automated, unbiased and standardised quantification of immunohistochemistry, while the Nuance system has spectral deconvolution capabilities. Overall concordance between scores from both systems was excellent (r=0.90; 0.83–0.95). The software associated with the multispectral imager allowed accurate automated classification of tissue type into epithelial glandular structures and stroma, and a single-step segmentation of staining into cytoplasmic or nuclear compartments allowing independent evaluation of these areas. The Nuance system, however, was not able to distinguish reliably between tumour and non-tumour tissue. In addition, variance in the labour and time required for analysis between the two systems was also noted. Despite limitations, this study suggests some beneficial role for the use of a multispectral imaging system in automated analysis of immunohistochemistry.
DOI: 10.1038/labinvest.2008.97
发表时间: 2008-12
期刊: Laboratory investigation; a journal of technical methods and pathology
影响因子: --
作者:
通讯作者: --
DOI: 10.1002/path.2564
发表时间: 2009-07-01
影响因子: 7.3
作者:
Snyder, Eric L.;Sandstrom, Deborah J.;Fletcher, Christopher D. M.
通讯作者: Fletcher, Christopher D. M.
DOI: 10.1111/j.1365-2559.2006.02513.x
发表时间: 2006-10-01
期刊: HISTOPATHOLOGY
影响因子: 6.4
作者:
Taylor, C. R.;Levenson, R. M.
通讯作者: Levenson, R. M.
DOI: 10.1111/j.1365-2559.2009.03419.x
发表时间: 2009-11-01
期刊: HISTOPATHOLOGY
影响因子: 6.4
作者:
Faratian, Dana;Kay, Charlene;Bartlett, John M. S.
通讯作者: Bartlett, John M. S.
DOI: 10.1002/cncr.23252
发表时间: 2008-02-25
影响因子: 3.4
作者:
Mansoor, Ibrahim;Zalles, Carola;Rimm, David L.
通讯作者: Rimm, David L.