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多尺度血管参数的弥散和非线性成像用于临床前乳腺肿瘤的体内监测。

Diffuse and nonlinear imaging of multiscale vascular parameters for in vivo monitoring of preclinical mammary tumors.

机构信息

Department of Biomedical Engineering, Boston University, Boston, Massachusetts.

Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts.

出版信息

J Biophotonics. 2019 Jun;12(6):e201800379. doi: 10.1002/jbio.201800379. Epub 2019 Mar 11.

Abstract

Diffuse optical imaging (DOI) techniques provide a wide-field or macro assessment of the functional tumor state and have shown substantial promise for monitoring treatment efficacy in cancer. Conversely, intravital microscopy provides a high-resolution view of the tumor state and has played a key role in characterizing treatment response in the preclinical setting. There has been little prior work in investigating how the macro and micro spatial scales can be combined to develop a more comprehensive and translational view of treatment response. To address this, a new multiscale preclinical imaging technique called diffuse and nonlinear imaging (DNI) was developed. DNI combines multiphoton microscopy with spatial frequency domain imaging (SFDI) to provide multiscale data sets of tumor microvascular architecture coregistered within wide-field hemodynamic maps. A novel method was developed to match the imaging depths of both modalities by utilizing informed SFDI spatial frequency selection. An in vivo DNI study of murine mammary tumors revealed multiscale relationships between tumor oxygen saturation and microvessel diameter, and tumor oxygen saturation and microvessel length (|Pearson's ρ| ≥ 0.5, P < 0.05). Going forward, DNI will be uniquely enabling for the investigation of multiscale relationships in tumors during treatment.

摘要

弥散光学成像(DOI)技术可对肿瘤功能状态进行大视野或宏观评估,在癌症治疗效果监测方面具有广阔的应用前景。相反,活体显微镜可以提供肿瘤状态的高分辨率视图,在临床前环境中对治疗反应的特征起着关键作用。以前很少有研究探讨如何将宏观和微观空间尺度相结合,以更全面和更具转化意义的方式来观察治疗反应。为了解决这个问题,开发了一种称为弥散和非线性成像(DNI)的新的多尺度临床前成像技术。DNI 将多光子显微镜与空间频域成像(SFDI)相结合,提供了肿瘤微血管结构的多尺度数据集,并在大视野血流图中进行了配准。通过利用信息丰富的 SFDI 空间频率选择,开发了一种新方法来匹配两种模式的成像深度。对小鼠乳腺肿瘤的体内 DNI 研究揭示了肿瘤氧饱和度与微血管直径以及肿瘤氧饱和度与微血管长度之间的多尺度关系(|Pearson's ρ|≥0.5,P<0.05)。未来,DNI 将非常适合在治疗过程中研究肿瘤中的多尺度关系。

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