Beckman Laser Institute, University of California Irvine, Irvine, 92612, California, USA.
Department of Biomedical Engineering, University of California Irvine, Irvine, 92697, California, USA.
Sci Rep. 2018 Jun 7;8(1):8713. doi: 10.1038/s41598-018-26389-2.
Development of effective rescue countermeasures for toxic inhalational industrial chemicals, such as methyl isocyanate (MIC), has been an emerging interest. Nonetheless, current methods for studying toxin-induced airway injuries are limited by cost, labor time, or accuracy, and only provide indirect or localized information. Optical Coherence Tomography (OCT) endoscopic probes have previously been used to visualize the 3-D airway structure. However, gathering such information in small animal models, such as rat airways after toxic gas exposure, remains a challenge due to the required probe size necessary for accessing the small, narrow, and partially obstructed tracheas. In this study, we have designed a 0.4 mm miniature endoscopic probe and investigated the structural changes in rat trachea after MIC inhalation. An automated 3D segmentation algorithm was implemented so that anatomical changes, such as tracheal lumen volume and cross-sectional areas, could be quantified. The tracheal region of rats exposed to MIC by inhalation showed significant airway narrowing, especially within the upper trachea, as a result of epithelial detachment and extravascular coagulation within the airway. This imaging and automated reconstruction technique is capable of rapid and minimally-invasive identification of airway obstruction. This method can be applied to large-scale quantitative analysis of in vivo animal models.
开发有效的有毒吸入性工业化学品(如甲基异氰酸酯(MIC))救援对策已成为新兴关注点。然而,目前研究毒素引起的气道损伤的方法受到成本、劳动时间或准确性的限制,只能提供间接或局部信息。光学相干断层扫描(OCT)内窥镜探头以前曾用于可视化 3D 气道结构。然而,由于需要用于进入小、窄和部分阻塞的气管的探头尺寸,在毒气体暴露后的小动物模型(如大鼠气道)中收集此类信息仍然是一个挑战。在这项研究中,我们设计了一种 0.4 毫米的微型内窥镜探头,并研究了 MIC 吸入后大鼠气管的结构变化。实施了自动 3D 分割算法,以便能够定量评估解剖结构变化,例如气管腔容积和横截面积。吸入 MIC 的大鼠的气管区域显示出明显的气道狭窄,特别是在上部气管,这是由于气道上皮细胞脱落和血管外凝血引起的。这种成像和自动重建技术能够快速、微创地识别气道阻塞。这种方法可以应用于体内动物模型的大规模定量分析。