Institute of Translational Medicine and Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Department of Gastroenterology, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Dig Endosc. 2019 Sep;31(5):535-543. doi: 10.1111/den.13389. Epub 2019 Apr 8.
The aim of this randomized trial was to evaluate the performance of self-training versus didactic training in order to increase the diagnostic accuracy of diminutive/small colonic polyp histological prediction by trainees.
Sixteen trainees reviewed 78 videos (48 iSCAN-OE and 30 NBI) of diminutive/small polyps in a pretraining assessment. Trainees were randomized to receive computer-based self-learning (n = 8) or didactic training (n = 8) using identical teaching materials and videos. The same 78 videos, in a different randomized order, were assessed. The NICE (NBI International Colorectal Endoscopic) and SIMPLE (Simplified Identification Method for Polyp Labeling during Endoscopy) classification systems were used to classify diminutive/small polyps.
A higher proportion of high-confidence predictions of polyps was made by the self-training group versus the didactic group using both the SIMPLE classification (77.1% [95% CI 73.4-80.3] vs 69.9% [95% CI 66.1-73.5%] [P = 0.005]) and the NICE classification (77% [95% CI 73.2-80.4%] vs 69.8% [95% CI 66-73.4%] [P = 0.006]). When using NICE, sensitivity of the self-training group compared with the didactic group was 72% versus 83% (P = 0.0005), and the accuracy was 66.1% versus 69.1%. The training improved the confidence of participants and SIMPLE was preferred over NICE.
Self-learning for the prediction of diminutive/small polyp histology is a method of training that can achieve results similar to didactic training. Availability of adequate self-learning teaching modules could enable widespread implementation of optical diagnosis in clinical practice.
本随机试验旨在评估自我培训与讲授培训的效果,以提高受训者对微小/小结肠息肉组织学预测的诊断准确性。
16 名受训者在预培训评估中回顾了 78 个微小/小息肉的视频(48 个 iSCAN-OE 和 30 个 NBI)。受训者随机分为接受基于计算机的自我学习(n=8)或使用相同教学材料和视频的讲授培训(n=8)。以不同的随机顺序评估相同的 78 个视频。使用 NICE(NBI 国际结直肠内镜)和 SIMPLE(内镜下息肉标记简化识别方法)分类系统对微小/小息肉进行分类。
与讲授培训组相比,自我培训组使用 SIMPLE 分类(77.1%[95%CI 73.4-80.3] vs 69.9%[95%CI 66.1-73.5%] [P=0.005])和 NICE 分类(77%[95%CI 73.2-80.4%] vs 69.8%[95%CI 66-73.4%] [P=0.006])对息肉的高置信度预测比例更高。使用 NICE 时,与讲授培训组相比,自我培训组的敏感性为 72%比 83%(P=0.0005),准确性为 66.1%比 69.1%。培训提高了参与者的信心,SIMPLE 优于 NICE。
用于预测微小/小息肉组织学的自我学习是一种可以达到与讲授培训相似效果的培训方法。充足的自我学习教学模块的可用性可以使光学诊断在临床实践中得到广泛应用。