King's Institute of Therapeutic Endoscopy, King's College Hospital NHS Foundation Trust, London, UK.
Department of Medicine, University Hospital Mainz, Mainz, Germany.
Dig Endosc. 2020 May;32(4):512-522. doi: 10.1111/den.13481. Epub 2019 Aug 22.
The latest state of the art technological innovations have led to a palpable progression in endoscopic imaging and may facilitate standardisation of practice. One of the most rapidly evolving modalities is artificial intelligence with recent studies providing real-time diagnoses and encouraging results in the first randomised trials to conventional endoscopic imaging. Advances in functional hypoxia imaging offer novel opportunities to be used to detect neoplasia and the assessment of colitis. Three-dimensional volumetric imaging provides spatial information and has shown promise in the increased detection of small polyps. Studies to date of self-propelling colonoscopes demonstrate an increased caecal intubation rate and possibly offer patients a more comfortable procedure. Further development in robotic technology has introduced ex vivo automated locomotor upper gastrointestinal and small bowel capsule devices. Eye-tracking has the potential to revolutionise endoscopic training through the identification of differences in experts and non-expert endoscopist as trainable parameters. In this review, we discuss the latest innovations of all these technologies and provide perspective into the exciting future of diagnostic luminal endoscopy.
最新的先进技术创新带来了内镜成像的明显进步,并可能促进实践的标准化。发展最快的模式之一是人工智能,最近的研究提供了实时诊断,并在传统内镜成像的首次随机试验中取得了令人鼓舞的结果。功能缺氧成像的进步为检测肿瘤和评估结肠炎提供了新的机会。三维容积成像提供了空间信息,并在增加小息肉的检测方面显示出了希望。迄今为止,对自推进结肠镜的研究表明,盲肠插管率有所提高,并且可能为患者提供更舒适的手术。机器人技术的进一步发展引入了离体自动运动上消化道和小肠胶囊设备。眼球追踪技术有可能通过识别专家和非专家内镜医生之间的差异作为可训练参数来彻底改变内镜培训。在这篇综述中,我们讨论了所有这些技术的最新创新,并展望了诊断腔内镜的令人兴奋的未来。