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Exploring Optical Contrast in Ex-Vivo Breast Tissue Using Diffuse Reflectance Spectroscopy and Tissue Morphology.

机译:使用漫反射光谱法和组织形态学研究前体内乳腺组织的光学对比。

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摘要

In this research, ex-vivo breast tissue is evaluated to determine which sources of optical contrast have the potential to detect malignancy at the margins in women of differing breast composition. Then, H&E images of ex-vivo breast tissue sites are quantified to further deconstruct the relationship between optical scattering and the underlying tissue morphology.;H&E images were taken of the malignant and benign sites and quantified to describe the % adipose, % collagen and % glands. Adipose sites, images at 10x, were predominantly fatty and quantified according to adipocyte morphology. H&E-stained adipose tissue sections were analyzed with an automated image processing algorithm to extract average cell area and cell density. Non-adipose sites were imaged with a 2.5x objective. Grids of 200µm boxes corresponding to the 3mm x 2mm area were overlaid on each non-adipose image. The non-adipose images were classified as the following: adipose and collagen (fibroadipose); collagen and glands (fibroglandular); adipose, collagen and glands (mixed); and malignant sites. Correlations between <μs&feet;> and % collagen in were determined in benign sites. Age, BMI, and MBD were then correlated to <μs&feet;> in the adipose and non-adipose sites. Variability in <μs&feet;> was determined to be related to collagen and not adipose content. In order to further investigate this relationship, the importance of age, BMI and MBD was analyzed after adjusting for the % collagen. Lastly, the relationship between % collagen and % glands was analyzed to determine the relative contributions of % collagen and % glands <μ s&feet;>. Statistics were calculated using Wilcoxon rank-sum tests, Pearson correlation coefficients and linear fits in R.;Further deconstructing the relationship between optical scattering and tissue morphology resulted in a positive relationship between <μ s&feet;> and % collagen. Increased variability was observed in sites with a higher percentage of collagen. In adipose tissues MBD was negatively correlated with age, BMI and average cell area. but positively related to the log of the average cell density. In addition, BMI was positively correlated to average cell area and negatively related to log of the cell density. In non-adipose sites, age was negatively correlated to <μs&feet;> in benign and malignant sites and this correlation varied significantly by the collagen level. BMI was negatively correlated to <μs&feet;> in benign and malignant sites but this relationship did not vary by collagen level. MBD was positively correlated to <μs&feet;> in benign and malignant sites. Optical scattering was shown to be tied to patient demographics. Lastly, the analysis of collagen vs. glands was narrowed to investigate sites with glands between 0-40% (the dynamic range of the data), the linear model reflected an equivalent relationship to scattering from % glands and the % collagen in benign sites. In addition, the malignant sites showed a stronger positive relationship to <μs&feet;> compared to the benign sites.;The data indicate that the ability of an optical parameter to differentiate benign from malignant breast tissues is dictated by patient demographics. Scattering differentiated between malignant and adipose sites and would be most effective in post-menopausal women. [β-carotene] or [THb] may be more applicable in pre-menopausal women to differentiate malignant from fibrous sites. Patient demographics are therefore an important component to incorporate into optical characterization of breast specimens. Through the subsequent stepwise analysis of tissue morphology, <μs&feet;> was positively correlated to collagen and negatively correlated to age and BMI. Increased variability of <μs&feet;> with collagen level was not dependent on the adipose contribution. A stronger correlation between age and <μ s&feet;> was seen in high collagen sites compared to low collagen sites. Contributions from collagen and glands to <μs&feet;> were independent and equivalent in benign sites; glands showed a stronger correlation to <μs&feet;> in malignant sites than collagen. This information will help develop improved scattering models and additional technologies from separating fibroglandular sites from malignant sites and ultimately improve margin assessment. (Abstract shortened by UMI.).
机译:在这项研究中,对离体乳腺组织进行了评估,以确定哪些光学对比源有潜力在不同乳腺成分的女性边缘检测恶性肿瘤。然后,对离体乳腺组织部位的H&E图像进行量化,以进一步解构光学散射与基础组织形态之间的关系。;对恶性和良性部位进行H&E图像摄取并进行量化,以描述脂肪百分比,胶原百分比和%腺体。脂肪部位(10倍图像)主要是脂肪,并根据脂肪细胞的形态进行定量。使用自动图像处理算法对H&E染色的脂肪组织切片进行分析,以提取平均细胞面积和细胞密度。非脂肪部位以2.5倍物镜成像。每个非脂肪图像上都覆盖了200μm的网格,对应于3mm x 2mm的区域。非脂肪图像分为以下几类:脂肪和胶原蛋白(纤维脂肪);胶原蛋白和腺体(纤维腺);脂肪,胶原蛋白和腺体(混合);和恶性部位。在良性部位确定<μs&feet;>与胶原蛋白百分比之间的相关性。然后在脂肪和非脂肪部位将年龄,BMI和MBD与<μs&feet;>相关联。确定<μs&feet;>的变异性与胶原有关,与脂肪含量无关。为了进一步研究这种关系,调整了胶原蛋白百分比后,分析了年龄,BMI和MBD的重要性。最后,分析%胶原蛋白和%腺体之间的关系,以确定%胶原蛋白和%腺体的相对贡献。使用Wilcoxon秩和检验,Pearson相关系数和R中的线性拟合计算统计量;进一步解构光学散射与组织形态之间的关系导致<μs&feet>与胶原%之间呈正相关。在胶原蛋白百分比更高的部位观察到变异性增加。在脂肪组织中,MBD与年龄,BMI和平均细胞面积呈负相关。但与平均细胞密度的对数正相关。此外,BMI与平均细胞面积呈正相关,与细胞密度的对数呈负相关。在非脂肪位点,年龄与良性和恶性位点的<μs&feet;>呈负相关,并且这种相关性随胶原蛋白水平而显着变化。良性和恶性部位的BMI与<μs&feet;>呈负相关,但这种关系并未因胶原蛋白水平而变化。在良性和恶性部位,MBD与<μs&feet;>正相关。光学散射被证明与患者的人口统计有关。最后,将胶原蛋白与腺体的分析范围缩小,以研究腺体在0-40%(数据的动态范围)之间的部位,线性模型反映了与良性部位的%腺体和%胶原蛋白的散射具有同等关系。此外,与良性位点相比,恶性位点与<μs&feet;>表现出更强的正相关性。数据表明,光学参数区分良性和恶性乳腺组织的能力由患者人口统计学决定。散布可区分恶性和脂肪部位,对绝经后妇女最有效。 [β-胡萝卜素]或[THb]可能更适用于绝经前妇女,以区分恶性和纤维性部位。因此,患者人口统计数据是纳入乳腺标本光学特性的重要组成部分。通过随后的组织形态逐步分析,<μs&feet;>与胶原蛋白呈正相关,与年龄和BMI呈负相关。 <μs&feet;>随胶原蛋白水平增加的变异性不取决于脂肪的贡献。与低胶原蛋白位点相比,高胶原蛋白位点的年龄与<μs&feet;>之间具有更强的相关性。胶原蛋白和腺体对<μs&feet;>的贡献在良性部位是独立且相等的;腺体在恶性部位与<μs&feet;>的相关性比胶原蛋白强。这些信息将有助于开发改进的散射模型和将纤维腺部位与恶性部位分开的其他技术,并最终改善边缘评估。 (摘要由UMI缩短。)。

著录项

  • 作者

    Kennedy, Stephanie Ann.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Engineering Biomedical.;Health Sciences Radiology.;Physics Optics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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