Spatial frequency analysis of anisotropic drug transport in tumor samples.
Spatial frequency analysis of anisotropic drug transport in tumor samples.
复制标题
肿瘤样品中各向异性药物转运的空间频率分析。
DOI：
10.1117/1.jbo.19.1.015005
复制
发表时间：
2014
影响因子：
3.5
通讯作者：
Pogue,BrianW
中科院分区：
文献类型：
--
作者：
Russell,Stewart;Samkoe,KimberleyS;Gunn,JasonR;Hoopes,PJack;Nguyen,ThienanA;Russell,MiloJ;Alfano,RobertR;Pogue,BrianW
在标准的组织切片上使用定向傅立叶空间频率分析来识别肿瘤组织中间质和上皮模式的空间频率的显著方向偏差。这种方向性偏差被证明与荧光示踪剂运输减少的途径有关。肿瘤标本的光学图像包含用于肿瘤分级的随机定向的非周期性特征的复杂分布，该特征随肿瘤类型、大小和形态而变化。这些模式在频率空间中的内部组织被证明提供了细胞外基质复杂性的准确指纹，众所周知，这与药物和纳米颗粒进入实质的运动有关，从而识别抑制药物运输的区域的特征空间频率。本文提出的创新的计算方法和组织验证技术为未来研究药物和粒子在肿瘤组织中的传输提供了一种工具，并有可能被用于识别传输障碍和分析与治疗干预相关的传输的实时监测。
Directional Fourier spatial frequency analysis was used on standard histological sections to identify salient directional bias in the spatial frequencies of stromal and epithelial patterns within tumor tissue. This directional bias is shown to be correlated to the pathway of reduced fluorescent tracer transport. Optical images of tumor specimens contain a complex distribution of randomly oriented aperiodic features used for neoplastic grading that varies with tumor type, size, and morphology. The internal organization of these patterns in frequency space is shown to provide a precise fingerprint of the extracellular matrix complexity, which is well known to be related to the movement of drugs and nanoparticles into the parenchyma, thereby identifying the characteristic spatial frequencies of regions that inhibit drug transport. The innovative computational methodology and tissue validation techniques presented here provide a tool for future investigation of drug and particle transport in tumor tissues, and could potentially be useda priorito identify barriers to transport, and to analyze real-time monitoring of transport with respect to therapeutic intervention.