一项关于人工智能诊断溃疡性结肠炎内镜缓解情况的系统评价和荟萃分析。

A systematic review and meta-analysis of artificial intelligence-diagnosed endoscopic remission in ulcerative colitis.

作者信息

Lv Bing, Ma Lihong, Shi Yanping, Tao Tao, Shi Yanting

机构信息

School of Computer Science and Technology, Shandong University of Technology, NO.266, Xincunxi Road, Zibo, Shandong 255000, China.

Department of Gastroenterology, Zibo Central Hospital, No.10 Shanghai Road, Zibo, Shandong 255000, China.

出版信息

iScience. 2023 Oct 5;26(11):108120. doi: 10.1016/j.isci.2023.108120. eCollection 2023 Nov 17.

Endoscopic remission is an important therapeutic goal in ulcerative colitis (UC). The Ulcerative Colitis Endoscopic Index of Severity (UCEIS) and Mayo Endoscopic Score (MES) are the commonly used endoscopic scoring criteria. This systematic review and meta-analysis aimed to evaluate the accuracy of artificial intelligence (AI) in diagnosing endoscopic remission in UC. We also performed a meta-analysis of each of the four endoscopic remission criteria (UCEIS = 0, MES = 0, UCEIS = <1, MES = <1). Eighteen studies involving 13,687 patients were included. The combined sensitivity and specificity of AI for diagnosing endoscopic remission in UC was 87% (95% confidence interval [CI]:81-92%) and 92% (95% CI: 89-94%), respectively. The area under the curve (AUC) was 0.96 (95% CI: 0.94-0.97). The results showed that the AI model performed well regardless of which criteria were used to define endoscopic remission of UC.

内镜缓解是溃疡性结肠炎（UC）的一个重要治疗目标。溃疡性结肠炎内镜严重程度指数（UCEIS）和梅奥内镜评分（MES）是常用的内镜评分标准。本系统评价和荟萃分析旨在评估人工智能（AI）诊断UC内镜缓解的准确性。我们还对四个内镜缓解标准（UCEIS = 0、MES = 0、UCEIS = <1、MES = <1）分别进行了荟萃分析。纳入了18项研究，涉及13687例患者。AI诊断UC内镜缓解的合并敏感性和特异性分别为87%（95%置信区间[CI]：81-92%）和92%（95%CI：89-94%）。曲线下面积（AUC）为0.96（95%CI：0.94-0.97）。结果表明，无论使用何种标准来定义UC的内镜缓解，AI模型都表现良好。