Department of Gastroenterology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan.
Department of Molecular-Targeting Cancer Prevention, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Endoscopy. 2017 Oct;49(10):957-967. doi: 10.1055/s-0043-111888. Epub 2017 Jun 21.
Magnifying narrow-band imaging (M-NBI) is useful for the accurate diagnosis of early gastric cancer (EGC). However, acquiring skill at M-NBI diagnosis takes substantial effort. An Internet-based e-learning system to teach endoscopic diagnosis of EGC using M-NBI has been developed. This study evaluated its effectiveness. This study was designed as a multicenter randomized controlled trial. We recruited endoscopists as participants from all over Japan. After completing Test 1, which consisted of M-NBI images of 40 gastric lesions, participants were randomly assigned to the e-learning or non-e-learning groups. Only the e-learning group was allowed to access the e-learning system. After the e-learning period, both groups received Test 2. The analysis set was participants who scored < 80 % accuracy on Test 1. The primary end point was the difference in accuracy between Test 1 and Test 2 for the two groups. A total of 395 participants from 77 institutions completed Test 1 (198 in the e-learning group and 197 in the non-e-learning group). After the e-learning period, all 395 completed Test 2. The analysis sets were e-learning group: n = 184; and non-e-learning group: n = 184. The mean Test 1 score was 59.9 % for the e-learning group and 61.7 % for the non-e-learning group. The change in accuracy in Test 2 was significantly higher in the e-learning group than in the non-e-learning group (7.4 points vs. 0.14 points, respectively; < 0.001). This study clearly demonstrated the efficacy of the e-learning system in improving practitioners' capabilities to diagnose EGC using M-NBI.Trial registered at University Hospital Medical Information Network Clinical Trials Registry (UMIN000008569).
窄带成像放大技术(M-NBI)有助于准确诊断早期胃癌(EGC)。然而,要掌握 M-NBI 诊断技术需要付出大量努力。我们开发了一种基于互联网的电子学习系统,用于教授使用 M-NBI 进行 EGC 内镜诊断。本研究评估了其效果。
本研究设计为多中心随机对照试验。我们从日本各地招募内镜医生作为参与者。在完成包含 40 个胃部病变的 M-NBI 图像的测试 1 后,参与者被随机分配到电子学习组或非电子学习组。只有电子学习组可以访问电子学习系统。电子学习期结束后,两组均接受测试 2。分析集为在测试 1 中准确率<80%的参与者。主要终点是两组在测试 1 和测试 2 之间的准确性差异。来自 77 家机构的 395 名参与者完成了测试 1(电子学习组 198 名,非电子学习组 197 名)。电子学习期结束后,所有 395 名参与者均完成了测试 2。分析集为电子学习组:n=184;非电子学习组:n=184。电子学习组测试 1 的平均得分为 59.9%,非电子学习组为 61.7%。在测试 2 中,电子学习组的准确性提高幅度明显高于非电子学习组(分别为 7.4 分和 0.14 分;<0.001)。
本研究清楚地表明,该电子学习系统在提高医生使用 M-NBI 诊断 EGC 的能力方面具有明显的效果。
试验在大学医院医学信息网临床试验注册中心(UMIN000008569)注册。