1. Feasibility of using narrow band imaging international colorectal endoscopic classification for diagnosing colorectal neoplasia in China: A multicenter pilot observational study
- Author
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Zhi Zheng Ge, Qing Wei Zhang, Zhao Shen Li, Ai Ming Yang, Peng Jin, Li Ming Zhang, Yu Lan Liu, Qing Wei Jiang, Yun Jie Gao, Jing-Jing Zhang, Hai Ying Chen, Nan Feng, Jian Qiu Sheng, Hong Yu Fu, and Xiaobo Li
- Subjects
Male ,China ,medicine.medical_specialty ,education ,Colonic Polyps ,Nice ,Pilot Projects ,Logistic regression ,Sensitivity and Specificity ,Narrow Band Imaging ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Odds Ratio ,Humans ,Medicine ,Medical diagnosis ,computer.programming_language ,Observer Variation ,Narrow-band imaging ,business.industry ,Gastroenterology ,Colonoscopy ,Odds ratio ,Middle Aged ,Confidence interval ,Logistic Models ,030220 oncology & carcinogenesis ,Feasibility Studies ,Female ,030211 gastroenterology & hepatology ,Observational study ,Clinical Competence ,Radiology ,Colorectal Neoplasms ,business ,Training program ,computer - Abstract
OBJECTIVE We aimed to investigate whether Chinese endoscopists without narrow-band imaging (NBI) experiences could achieve high accuracy in the real-time diagnosis of colorectal polyps using NBI International Colorectal Endoscopic (NICE) classification after web-based training. METHODS Altogether 15 endoscopists from five centers with no NBI experiences followed a short, web-based training program on the NICE classification and took web-based test. Their performances were compared with 15 matched experienced endoscopists with no NBI experience who received no NBI training. These 15 trained endoscopists then made real-time diagnoses of colorectal neoplasia. A logistic regression was used to assess potential predictors of diagnostic performance. RESULTS Compared with those who received no training, trained endoscopists achieved comparable overall accuracy (85.3% vs 83.1%, P = 0.408) and accuracy at a high-confidence level (87.0% vs 86.0%, P = 0.670), but had a higher confidence rate (86.1% vs 83.7%, P = 0.004) for the diagnosis of neoplasia. Real-time diagnostic accuracy, sensitivity and specificity were 94.3% (95% confidence interval [CI] 91.5%-96.2%), 96.2% (95% CI 93.4%-97.9%) and 85.3% (95% CI 74.8%-92.1%) at high-confidence level. The high-confidence level was the strongest predictor of real-time diagnostic accuracy (odds ratio 12.66, P
- Published
- 2020