University of Arizona, College of Optical Sciences, Tucson, Arizona 85721-0240, USA.
J Biomed Opt. 2010 Jul-Aug;15(4):041512. doi: 10.1117/1.3446674.
Optical coherence tomography (OCT) can provide new insight into disease progression and therapy by enabling nondestructive, serial imaging of in vivo cancer models. In previous studies, we have shown the utility of endoscopic OCT for identifying adenomas in the azoxymethane-treated mouse model of colorectal cancer and tracking disease progression over time. Because of improved imaging speed made possible through Fourier domain imaging, three-dimensional imaging of the entire mouse colon is possible. Increased amounts of data can facilitate more accurate classification of tissue but require more time on the part of the researcher to sift through and identify relevant data. We present quantitative software for automatically identifying potentially diseased areas that can be used to create a two-dimensional "disease map" from a three-dimensional Fourier domain OCT data set. In addition to sensing inherent changes in tissue that occur during disease development, the algorithm is sensitive to exogeneous highly scattering gold nanoshells that can be targeted to disease biomarkers. The results of the algorithm were compared to histological diagnosis. The algorithm was then used to assess the ability of gold nanoshells targeted to epidermal growth factor receptor in vivo to enable functional OCT imaging.
光学相干断层扫描（OCT）可以通过对体内癌症模型进行非破坏性、连续成像，为疾病进展和治疗提供新的见解。在以前的研究中，我们已经证明了内窥镜 OCT 在识别氧化偶氮甲烷处理的结直肠癌小鼠模型中的腺瘤以及随时间跟踪疾病进展方面的效用。由于傅里叶域成像实现了更高的成像速度，现在可以对整个小鼠结肠进行三维成像。更多的数据量可以促进更准确的组织分类，但需要研究人员花费更多的时间来筛选和识别相关数据。我们提出了一种用于自动识别潜在疾病区域的定量软件，可以从三维傅里叶域 OCT 数据集创建二维“疾病图谱”。除了能够感知疾病发展过程中组织发生的固有变化外，该算法还能够检测到外源性高度散射的金纳米壳，这些纳米壳可以作为疾病生物标志物的靶向。将算法的结果与组织学诊断进行了比较。然后，该算法被用于评估靶向表皮生长因子受体的金纳米壳在体内进行功能 OCT 成像的能力。
