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使用定量相位成像技术定量检测乳腺癌中的胶原纤维取向。

Quantifying collagen fiber orientation in breast cancer using quantitative phase imaging.

机构信息

University of Illinois at Urbana Champaign, Quantitative Light Imaging (QLI) Lab, Department of Bioengineering, Beckman Institute of Advanced Science and Technology, Urbana, Illinois, United States.

University of Illinois at Urbana Champaign, Photonics Research of Bio/Nano Environments (PROBE) Lab, Department of Electrical and Computer Engineering, Mechanical Engineering Lab, Urbana, Illinois, United States.

出版信息

J Biomed Opt. 2017 Apr 1;22(4):46004. doi: 10.1117/1.JBO.22.4.046004.

DOI:10.1117/1.JBO.22.4.046004
PMID:28388706
Abstract

Tumor progression in breast cancer is significantly influenced by its interaction with the surrounding stromal tissue. Specifically, the composition, orientation, and alignment of collagen fibers in tumor-adjacent stroma affect tumor growth and metastasis. Most of the work done on measuring this prognostic marker has involved imaging of collagen fibers using second-harmonic generation microscopy (SHGM), which provides label-free specificity. Here, we show that spatial light interference microscopy (SLIM), a label-free quantitative phase imaging technique, is able to provide information on collagen-fiber orientation that is comparable to that provided by SHGM. Due to its wide-field geometry, the throughput of the SLIM system is much higher than that of SHGM and, because of the linear imaging, the equipment is simpler and significantly less expensive. Our results indicate that SLIM images can be used to extract important prognostic information from collagen fibers in breast tissue, potentially providing a convenient high throughput clinical tool for assessing patient prognosis.

摘要

乳腺癌的肿瘤进展受到其与周围基质组织相互作用的显著影响。具体来说,肿瘤邻近基质中胶原纤维的组成、方向和排列方式会影响肿瘤的生长和转移。在用于测量这种预后标志物的大多数工作中,都涉及到使用二次谐波产生显微镜 (SHGM) 对胶原纤维进行成像,该技术提供了无标记的特异性。在这里,我们表明,无标记定量相位成像技术空间光干涉显微镜 (SLIM) 能够提供与 SHGM 相当的胶原纤维方向信息。由于其宽场几何形状,SLIM 系统的吞吐量比 SHGM 高得多,并且由于线性成像,设备更简单,成本也大大降低。我们的结果表明,SLIM 图像可用于从乳腺组织中的胶原纤维中提取重要的预后信息,有可能为评估患者预后提供一种便捷的高通量临床工具。

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