Novel image analysis approach quantifies morphological characteristics of 3D breast culture acini with varying metastatic potentials.
Novel image analysis approach quantifies morphological characteristics of 3D breast culture acini with varying metastatic potentials.
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DOI：
10.1155/2012/102036
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发表时间：
2012
影响因子：
--
通讯作者：
Plopper GE
中科院分区：
文献类型：
--
作者：
McKeen Polizzotti L;Oztan B;Bjornsson CS;Shubert KR;Yener B;Plopper GE
乳腺癌的预后主要是通过肿瘤的组织学分级来预测的，病理学家手动评估组织的显微特征。这一劳动密集型过程存在观察者内部和观察者之间的差异；因此，自动完成这种评估的计算机辅助系统需求量很大。我们通过开发一个图像分析框架来解决这个问题，该框架通过对腺泡结构形态的表征，在体外三维乳腺上皮腺泡中自动分级乳腺癌。一组具有统计学意义的腺泡形态学特征被用来对六种（MCF10系列）细胞系培养物进行自动分级，模拟乳腺癌转移级联的三个级别。除了捕获预期的和视觉上可区分的变化外，我们还量化了通过显微镜检查评估的细微差异。我们的方法在将腺泡结构划分为非恶性、非浸润性和浸润性癌的准确率达到89.0%。我们进一步证明，尽管有额外的限制，但所提出的方法可以成功地应用于体内组织样本的分级。这些结果表明，所提出的特征可以用来描述腺泡形态和转移级联细胞功能之间的关系。
Prognosis of breast cancer is primarily predicted by the histological grading of the tumor, where pathologists manually evaluate microscopic characteristics of the tissue. This labor intensive process suffers from intra- and inter-observer variations; thus, computer-aided systems that accomplish this assessment automatically are in high demand. We address this by developing an image analysis framework for the automated grading of breast cancer in in vitro three-dimensional breast epithelial acini through the characterization of acinar structure morphology. A set of statistically significant features for the characterization of acini morphology are exploited for the automated grading of six (MCF10 series) cell line cultures mimicking three grades of breast cancer along the metastatic cascade. In addition to capturing both expected and visually differentiable changes, we quantify subtle differences that pose a challenge to assess through microscopic inspection. Our method achieves 89.0% accuracy in grading the acinar structures as nonmalignant, noninvasive carcinoma, and invasive carcinoma grades. We further demonstrate that the proposed methodology can be successfully applied for the grading of in vivo tissue samples albeit with additional constraints. These results indicate that the proposed features can be used to describe the relationship between the acini morphology and cellular function along the metastatic cascade.
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平铺 3D 显微图像采集的全局最佳拼接。
DOI：
10.1093/bioinformatics/btp184
发表时间：
2009-06-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Preibisch S;Saalfeld S;Tomancak P
通讯作者：
Tomancak P
影响因子：
2.5
作者：
Miller, FR
通讯作者：
Miller, FR
影响因子：
10.6
作者：
Fernandez-Gonzalez, R;Barcellos-Hoff, MH;Ortiz-de-Solórzano, C
通讯作者：
Ortiz-de-Solórzano, C
影响因子：
4.4
作者：
MEYER, F
通讯作者：
MEYER, F
影响因子：
3
作者：
Jensen, Amariek J.;Naik, Arpana M.;Troxell, Megan L.
通讯作者：
Troxell, Megan L.