McGill University, Biomedical Engineering, Montreal, H4A 3J1, Canada.
McGill University Health Center, Medical Physics, Montreal, H4A 3J1, Canada.
Sci Rep. 2017 Dec 19;7(1):17829. doi: 10.1038/s41598-017-18070-x.
Radiation-induced pulmonary fibrosis (RIPF) is a debilitating side effect of radiation therapy (RT) of several cancers including lung and breast cancers. Current clinical methods to assess and monitor RIPF involve diagnostic computed tomography (CT) imaging, which is restricted to anatomical macroscopic changes. Confocal laser endomicroscopy (CLE) or fluorescence endomicroscopy (FE) in combination with a fibrosis-targeted fluorescent probe allows to visualize RIPF in real-time at the microscopic level. However, a major limitation of FE imaging is the lack of anatomical localization of the endomicroscope within the lung. In this work, we proposed and validated the use of x-ray fluoroscopy-guidance in a rat model of RIPF to pinpoint the location of the endomicroscope during FE imaging and map it back to its anatomical location in the corresponding CT image. For varying endomicroscope positions, we observed a positive correlation between CT and FE imaging as indicated by the significant association between increased lung density on CT and the presence of fluorescent fiber structures with FE in RT cases compared to Control. Combining multimodality imaging allows visualization and quantification of molecular processes at specific locations within the injured lung. The proposed image-guided FE method can be extended to other disease models and is amenable to clinical translation for assessing and monitoring fibrotic damage.
放射性肺纤维化(RIPF)是放射治疗(RT)多种癌症(包括肺癌和乳腺癌)的一种使人虚弱的副作用。目前评估和监测 RIPF 的临床方法包括诊断计算机断层扫描(CT)成像,其仅限于解剖学宏观变化。共聚焦激光内窥镜检查(CLE)或荧光内窥镜检查(FE)与纤维化靶向荧光探针结合使用,可实时在微观水平上可视化 RIPF。然而,FE 成像的一个主要局限性是缺乏内窥镜在肺部内的解剖定位。在这项工作中,我们提出并验证了在 RIPF 大鼠模型中使用 X 射线透视引导来精确定位 FE 成像期间内窥镜的位置,并将其映射回相应 CT 图像中的解剖位置。对于不同的内窥镜位置,我们观察到 CT 和 FE 成像之间存在正相关,这表明与对照相比,RT 病例中 CT 上肺密度增加与 FE 中荧光纤维结构的存在之间存在显著关联。结合多模态成像,可以在受损肺的特定位置可视化和量化分子过程。所提出的图像引导 FE 方法可以扩展到其他疾病模型,并适合于评估和监测纤维化损伤的临床转化。