结直肠癌的光学诊断

Optical Diagnosis of Colorectal Cancer

摘要: 最近提出了小型结肠直肠息肉的光学诊断作为代替组织病理学诊断的方案。随着新分类系统的成像技术和人工智能的使用，增加了光学诊断的可行性。本综述提供了光学诊断建议，分类，结果和最新发展的最新概述。用于光学诊断小型息肉的质量基准。NICE分类已经过广泛研究并符合大多数成像技术的检测标准，但不能够诊断无柄锯齿状息肉(SSPs)。SIMPLE分类符合NBI和i-Scan的质量基准，可用于SSP的诊断。需要进一步研究其他分类系统以验证有效性。计算机辅助诊断结直肠息肉是一项非常重要的方法，患者实时结肠镜检查的质量基准正得到满足。限制包括不可忽略的诊断失败百分比，低特异性和低数量的实时诊断研究。需要进行更多研究以进一步了解人工智能的价值光学息肉诊断的一般性。总结小型结直肠息肉的光学诊断具有可行性，增强内窥镜检查并结合人工智能的诊断可以使光学诊断广泛适用，但目前处于早期发育阶段。

Abstract: An optical diagnosis of small colorectal polyps has recently been proposed as a replacement for histopathological diagnosis. With the use of imaging technology and artificial intelligence in the new classification system, the feasibility of optical diagnosis has increased. This review provides an up-to-date overview of optical diagnostic recommendations, classifications, results and recent developments. Benchmark is for optical diagnosis of small polyps. The NICE classification has been extensively studied and meets the quality requirements of most imaging techniques, but it is not possible to diagnose sessile serrated polyps (SSPs). The SIMPLE classification meets the quality benchmarks of NBI and i-Scan and can be used for the diagnosis of SSP. Further research on other classification systems is needed to verify validity. Computer-aided diagnosis of colorectal polyps is a very important method, and the quality benchmark for patients with real-time colonoscopy is being met. Limitations include non-negligible percentage of diagnostic failures, low specificity and low numbers of real-time diagnostic studies. More research is needed to further understand the generality of the value of optical optometry diagnostics for artificial intelligence. It is feasible to summarize the optical diagnosis of small colorectal polyps. Enhanced endoscopy and combined with artificial intelligence diagnosis can make optical diagnosis widely applicable, but it is currently in the early development stage.