Department of Physics, University of Cambridge, Cambridge, UK.
Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
J Biophotonics. 2021 Sep;14(9):e202100078. doi: 10.1002/jbio.202100078. Epub 2021 Jun 21.
Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white-light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof-of-concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre- and post- resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.
早期发现和切除腺瘤性息肉可防止其发展为结直肠癌 (CRC)，显著改善患者的预后。息肉通常在白光结肠镜检查中被识别和切除。不幸的是，CRC 筛查事件之间发生的间期癌的发生率仍然很高，这与筛查期间息肉的可视化效果不佳以及息肉切除不完全有关。在这里，我们试图评估高光谱内窥镜 (HySE) 增强息肉检测和切除的鉴别能力的潜力。我们在概念验证临床研究中设计、构建和测试了一种新型紧凑型 HySE。我们成功地从 7 名接受常规结肠镜筛查的患者的三种组织类型中采集了光谱。对正常组织和息肉的采集光谱数据（包括切除前后）进行了光谱角制图和机器学习的定量分析，根据组织类型对数据进行了区分，这使得进一步研究 HySE 作为一种临床工具成为可能。
