New computerized staging method to analyze mink testicular tissue in environmental research
New computerized staging method to analyze mink testicular tissue in environmental research
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DOI：
10.1002/etc.3517
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发表时间：
2017-01-01
影响因子：
4.1
通讯作者：
Hendriks, Cris L. Luengo
中科院分区：
文献类型：
--
作者：
Fakhrzadeh, Azadeh;Sporndly-Nees, Ellinor;Hendriks, Cris L. Luengo
睾丸组织的组织学被认为是检测对男性生殖不利影响的最敏感工具。当评估组织损伤时，生精上皮需要被分类为不同的阶段以检测某些细胞损伤;但是阶段识别是一项苛刻的任务。作者提出了一种鉴别水貂睾丸组织12期的方法。该分期系统使用加塔-4免疫组化来可视化顶体发育，并被证明是可重复的和观察者间可重复的，分别具有83.6%（kappa=0.81）和70.5%（kappa=0.67）的基本一致性。为了进一步推进和客观化这种方法，他们提出了一个计算机化的分期系统，可以识别这12个阶段。该方案与2名研究者的一致分期结果的一致性为52.8%（kappa 0.47）。作者建议根据形态学、阶段转换和毒理学重要终点将阶段合并为5组。计算机程序然后达到76.7%的实质性一致性（kappa=0.69）。计算机化的分期工具使用局部三元模式来描述小管的纹理，并使用支持向量机分类器来学习哪些纹理对应于哪些阶段。这些结果有可能使睾丸组织毒理学评价所需的繁琐分期过程现代化，特别是如果与全载玻片成像和自动管状分割相结合。环境毒理化学2017;36：156-164。(c)2016作者环境毒理学和化学出版的威利期刊，公司。关于SETAC
Histopathology of testicular tissue is considered to be the most sensitive tool to detect adverse effects on male reproduction. When assessing tissue damage, seminiferous epithelium needs to be classified into different stages to detect certain cell damages; but stage identification is a demanding task. The authors present a method to identify the 12 stages in mink testicular tissue. The staging system uses Gata-4 immunohistochemistry to visualize acrosome development and proved to be both intraobserver-reproducible and interobserver-reproducible with a substantial agreement of 83.6% (kappa=0.81) and 70.5% (kappa=0.67), respectively. To further advance and objectify this method, they present a computerized staging system that identifies these 12 stages. This program has an agreement of 52.8% (kappa 0.47) with the consensus staging by 2 investigators. The authors propose a pooling of the stages into 5 groups based on morphology, stage transition, and toxicologically important endpoints. The computerized program then reached a substantial agreement of 76.7% (kappa=0.69). The computerized staging tool uses local ternary patterns to describe the texture of the tubules and a support vector machine classifier to learn which textures correspond to which stages. The results have the potential to modernize the tedious staging process required in toxicological evaluation of testicular tissue, especially if combined with whole-slide imaging and automated tubular segmentation. Environ Toxicol Chem 2017;36:156-164. (c) 2016 The Authors. Environmental Toxicology and Chemistry Published by Wiley Periodicals, Inc. on behalf of SETAC.