Kolb Jennifer M, Wani Sachin
Division of Gastroenterology & Hepatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Transl Gastroenterol Hepatol. 2021 Jan 5;6:14. doi: 10.21037/tgh.2020.02.10. eCollection 2021.
Esophageal adenocarcinoma (EAC) continues to be one of the fastest rising incident cancers in the Western population with the majority of patients presenting with late stage disease and associated with a dismal 5-year survival rate. Barrett's esophagus (BE) is the only identifiable precursor lesion to EAC. Strategies to screen for and survey BE are critical to detect earlier cancers and reduce morbidity and mortality related to EAC. A high-quality endoscopic examination with careful inspection of the Barrett's segment and adherence to the Seattle protocol for tissue sampling are critical. Advanced imaging modalities offer the potential to improve dysplasia detection, predict histopathology in real time and guide endoscopic eradication therapy (EET). Several technologies have been studied and although most are not yet recommended for routine clinical practice, high definition white light endoscopy (HD-WLE) as well as chromoendoscopy (including virtual chromoendoscopy) improved dysplasia detection in numerous studies supporting their use. Future studies should evaluate the role of artificial intelligence in optimizing detection of dysplasia in BE patients.
食管腺癌(EAC)仍然是西方人群中发病率上升最快的癌症之一,大多数患者就诊时已处于疾病晚期,5年生存率极低。巴雷特食管(BE)是EAC唯一可识别的前驱病变。筛查和监测BE的策略对于早期发现癌症以及降低与EAC相关的发病率和死亡率至关重要。高质量的内镜检查并仔细检查巴雷特段,以及遵循西雅图组织采样方案至关重要。先进的成像方式有可能改善发育异常的检测,实时预测组织病理学并指导内镜根除治疗(EET)。已经对多种技术进行了研究,尽管大多数技术尚未被推荐用于常规临床实践,但在众多支持其应用的研究中,高清白光内镜(HD-WLE)以及色素内镜(包括虚拟色素内镜)改善了发育异常的检测。未来的研究应评估人工智能在优化BE患者发育异常检测中的作用。