Division of Surgery and Interventional Sciences, University College London, London, UK; Department of Gastroenterology, University College London Hospital, London, UK.
Division of Surgery and Interventional Sciences, University College London, London, UK.
Best Pract Res Clin Gastroenterol. 2021 Jun-Aug;52-53:101723. doi: 10.1016/j.bpg.2020.101723. Epub 2020 Dec 29.
Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognosis. Significant efforts are necessary to improve the detection of early squamous cell cancer such that curative endoscopic therapy can be offered. Studies have shown an overall miss rate of esophageal cancer of up to 6.4%. Human factors including fatigue and lack of attention may be a contributory factor. Computer aided detection and characterisation of early squamous cell cancer can be a second reader which potentially offsets these factors. Recent studies developing artificial intelligence systems show real promise in the detection of early squamous cell cancer and predicting depth of invasion to aid in the management of patients in the same endoscopic session. This has the potential to revolutionise this area of endoscopy.
食管癌是全球第八大常见癌症，预后较差。为了能够提供根治性内镜治疗，有必要提高对早期鳞状细胞癌的检出率。研究表明，食管癌的总体漏诊率高达 6.4%。人为因素，包括疲劳和注意力不集中，可能是一个促成因素。计算机辅助检测和早期鳞状细胞癌的特征描述可以作为第二个阅读者，潜在地抵消这些因素。最近开发人工智能系统的研究在早期鳞状细胞癌的检测和预测浸润深度方面显示出了真正的前景，有助于在同一次内镜检查中对患者进行管理。这有可能彻底改变内镜检查领域。
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