Sikong Yinhe, Lin Xiangchun, Liu Kuiliang, Wu Jing, Lin Wu, Wei Nan, Jiang Guojun, Tai Weiping, Su Hui, Liu Hong, Meng Mingming
Department of Gastroenterology, Beijing Shijitan Hospital Capital Medical University, Beijing, China.
Department of Gastroenterology, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.
Dig Endosc. 2016 Jul;28(5):583-91. doi: 10.1111/den.12600. Epub 2016 Feb 16.
To evaluate the effectiveness of systematic training in the application of narrow-band imaging (NBI) International Colorectal Endoscopic (NICE) classification for the prediction of the histology of colorectal polyps.
This is a single-center study. In total, 260 still images of colorectal polyps from 225 patients were included. Two series of 130 images obtained using NBI and white light without magnification were distributed to 10 endoscopists-five highly experienced endoscopists (HEE group) and five less experienced endoscopists (LEE group)-for assessment using the NICE classification, before and after systematic training.
Before systematic training, accuracy in both groups was 79.54% and specificity was relatively poor (HEE: 62.46%, LEE: 69.23%, P = 0.297). After systematic training, specificity significantly improved (HEE: 96.61%, LEE: 97.54%, P = 0.000 and P = 0.013, respectively). Accuracy also significantly increased to 94.93% and 96.46% in the HEE and LEE groups, respectively. Sensitivity and negative predictive value did not significantly improve in the post-test; however, both were high in both the pre- and post-test. The κ-values in both groups were excellent (HEE: 0.93, LEE: 0.91). Among the components of the NICE classification, surface pattern yielded the highest performance, whereas color yielded the lowest.
Systematic, feedback-based, training programs can help achieve high accuracy and good interobserver agreement in the application of the NICE classification for the prediction of the histology of colorectal polyps by endoscopists with different levels of experience.
评估系统培训在应用窄带成像(NBI)国际结直肠内镜(NICE)分类预测结直肠息肉组织学类型方面的有效性。
这是一项单中心研究。共纳入来自225例患者的260张结直肠息肉静态图像。将使用NBI和无放大白光获得的两组各130张图像,在系统培训前后分发给10位内镜医师——5位经验丰富的内镜医师(HEE组)和5位经验较少的内镜医师(LEE组),以使用NICE分类进行评估。
在系统培训前,两组的准确率均为79.54%,特异性相对较差(HEE组:62.46%,LEE组:69.23%,P = 0.297)。系统培训后,特异性显著提高(HEE组:96.61%,LEE组:97.54%,P分别为0.000和0.013)。HEE组和LEE组的准确率也分别显著提高到94.93%和96.46%。测试后敏感性和阴性预测值没有显著提高;然而,在测试前和测试后两者均较高。两组的κ值都很好(HEE组:0.93,LEE组:0.91)。在NICE分类的各组成部分中,表面形态的表现最佳,而颜色的表现最差。
基于反馈的系统培训方案有助于不同经验水平的内镜医师在应用NICE分类预测结直肠息肉组织学类型时达到高准确率和良好的观察者间一致性。