Li Yan, Zhu Zhikai, Chen Jason J, Jing Joseph C, Sun Chung-Ho, Kim Sehwan, Chung Phil-Sang, Chen Zhongping
Beckman Laser Institute, University of California, Irvine, Irvine, CA 92617, USA.
Department of Biomedical Engineering, University of California, Irvine, 5200 Engineering Hall, Irvine, CA 92697, USA.
Biomed Opt Express. 2019 Apr 15;10(5):2419-2429. doi: 10.1364/BOE.10.002419. eCollection 2019 May 1.
While colonoscopy is the gold standard for diagnosis and classification of colorectal cancer (CRC), its sensitivity and specificity are operator-dependent and are especially poor for small and flat lesions. Contemporary imaging modalities, such as optical coherence tomography (OCT) and near-infrared (NIR) fluorescence, have been investigated to visualize microvasculature and morphological changes for detecting early stage CRC in the gastrointestinal (GI) tract. In our study, we developed a multimodal endoscopic system with simultaneous co-registered OCT and NIR fluorescence imaging. By introducing a contrast agent into the vascular network, NIR fluorescence is able to highlight the cancer-suspected area based on significant change of tumor vascular density and morphology caused by angiogenesis. With the addition of co-registered OCT images to reveal subsurface tissue layer architecture, the suspected regions can be further investigated by the altered light scattering resulting from the morphological abnormality. Using this multimodal imaging system, an animal study was performed using a F344-ApcUwm rat, in which the layered architecture and microvasculature of the colorectal wall at different time points were demonstrated. The co-registered OCT and NIR fluorescence images allowed the identification and differentiation of normal colon, hyperplastic polyp, adenomatous polyp, and adenocarcinoma. This multimodal imaging strategy using a single imaging probe has demonstrated the enhanced capability of identification and classification of CRC compared to using any of these technologies alone, thus has the potential to provide a new clinical tool to advance gastroenterology practice.
虽然结肠镜检查是结直肠癌(CRC)诊断和分类的金标准,但其敏感性和特异性依赖于操作人员,对于小的扁平病变尤其不佳。当代成像方式,如光学相干断层扫描(OCT)和近红外(NIR)荧光成像,已被用于观察微血管系统和形态变化,以检测胃肠道(GI)早期结直肠癌。在我们的研究中,我们开发了一种同时具备共配准OCT和NIR荧光成像的多模态内镜系统。通过将一种造影剂引入血管网络,NIR荧光能够基于血管生成导致的肿瘤血管密度和形态的显著变化突出可疑癌症区域。加上共配准的OCT图像以揭示表层下组织层结构,可疑区域可通过形态异常导致的光散射改变进一步研究。使用这个多模态成像系统,我们用F344-ApcUwm大鼠进行了一项动物研究,展示了不同时间点结直肠壁的分层结构和微血管系统。共配准的OCT和NIR荧光图像能够识别和区分正常结肠、增生性息肉、腺瘤性息肉和腺癌。与单独使用这些技术中的任何一种相比,这种使用单个成像探头的多模态成像策略已证明在结直肠癌识别和分类方面能力增强,因此有潜力提供一种新的临床工具来推动胃肠病学实践。