Label-Free, Longitudinal Visualization of PDT Response In Vitro with Optical Coherence Tomography.
Label-Free, Longitudinal Visualization of PDT Response In Vitro with Optical Coherence Tomography.
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DOI：
10.1002/ijch.201200009
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发表时间：
2012-09
影响因子：
3.2
通讯作者：
Evans, Conor L.
中科院分区：
文献类型：
--
作者：
Jung, Yookyung;Nichols, Alexander J.;Klein, Oliver J.;Roussakis, Emmanuel;Evans, Conor L.
在创建和优化治疗癌症的斗争中的一个主要挑战是可视化和理解患者中发生的微尺度时空治疗反应动力学。这对于光动力疗法（PDT）尤其如此，其中治疗优化依赖于理解除了光剂量和递送速率之外的因素之间的相互作用，诸如光敏剂定位和摄取。体外3D培养系统概括了人类疾病的许多生物学特征，是对PDT反应和抗性进行详细研究的强大平台。然而，目前的技术可视化这些模型，往往缺乏准确性，由于扰动性质的样品制备，与光衰减复杂的研究完整的模型。光学相干断层扫描（OCT）是一种理想的方法，用于长期，非微扰研究体外模型及其对PDT的反应。通过延时OCT方法监测3D模型对PDT的反应有望提供新的视角，并为可转化为临床的癌症治疗方法开辟道路。
A major challenge in creating and optimizing therapeutics in the fight against cancer is visualizing and understanding the microscale spatiotemporal treatment response dynamics that occur in patients. This is especially true for photodynamic therapy (PDT), where therapeutic optimization relies on understanding the interplay between factors such as photosensitizer localization and uptake, in addition to light dose and delivery rate. In vitro 3D culture systems that recapitulate many of the biological features of human disease are powerful platforms for carrying out detailed studies on PDT response and resistance. Current techniques for visualizing these models, however, often lack accuracy due to the perturbative nature of the sample preparation, with light attenuation complicating the study of intact models. Optical coherence tomography (OCT) is an ideal method for the long-term, non-perturbative study of in vitro models and their response to PDT. Monitoring the response of 3D models to PDT by time-lapse OCT methods promises to provide new perspectives and open the way to cancer treatment methodologies that can be translated towards the clinic.
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DOI：
10.3322/caac.20114
发表时间：
2011-07
期刊：
CA: a cancer journal for clinicians
影响因子：
--
作者：
Agostinis P;Berg K;Cengel KA;Foster TH;Girotti AW;Gollnick SO;Hahn SM;Hamblin MR;Juzeniene A;Kessel D;Korbelik M;Moan J;Mroz P;Nowis D;Piette J;Wilson BC;Golab J
通讯作者：
Golab J
影响因子：
9.7
作者：
CANTI, G;LATTUADA, D;VALENTINI, G
通讯作者：
VALENTINI, G
影响因子：
15
作者：
Alderden, Rebecca A.;Mellor, Howard R.;Hambley, Trevor W.
通讯作者：
Hambley, Trevor W.
影响因子：
3.8
作者：
Akkin, T;Davé, DP;Rylander, HG
通讯作者：
Rylander, HG
影响因子：
64.8
作者：
Backman, V;Wallace, MB;Feld, MS
通讯作者：
Feld, MS