结肠镜检查
内窥镜
高光谱成像
医学
内窥镜检查
结直肠癌
息肉切除术
腺瘤性息肉
内科学
临床实习
粘膜切除术
放射科
胃肠病学
癌症
人工智能
计算机科学
家庭医学
作者
Jonghee Yoon,James Joseph,Dale J. Waterhouse,Charlie Borzy,Kyla N. Siemens,Sarah Diamond,Vassiliki L. Tsikitis,Sarah E. Bohndiek
标识
DOI:10.1002/jbio.202100078
摘要
Abstract 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI