scholarly journals Decision Tree Analysis of Traditional Risk Factors of Carotid Atherosclerosis and a Cutpoint-Based Prevention Strategy

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e111769 ◽  
Author(s):  
Guangming Qin ◽  
Laisheng Luo ◽  
Lihong Lv ◽  
Yufei Xiao ◽  
Jiangfeng Tu ◽  
...  
2010 ◽  
Vol 46 (4) ◽  
pp. 492-510 ◽  
Author(s):  
Megan E. Piper ◽  
Wei-Yin Loh ◽  
Stevens S. Smith ◽  
Sandra J. Japuntich ◽  
Timothy B. Baker

2016 ◽  
Vol 129 (10) ◽  
pp. 1193-1199 ◽  
Author(s):  
Fang Ye ◽  
Zhi-Hua Chen ◽  
Jie Chen ◽  
Fang Liu ◽  
Yong Zhang ◽  
...  

2019 ◽  
Vol 46 ◽  
pp. e15-e23 ◽  
Author(s):  
Insook Lee ◽  
Kyung-Sook Bang ◽  
Hyojeong Moon ◽  
Jieun Kim

2020 ◽  
Vol 61 (11) ◽  
pp. 1484-1493
Author(s):  
Sun Hwa Lee ◽  
Jae Min Lee ◽  
Na Yeon Han ◽  
Min Ju Kim ◽  
Beom Jin Park ◽  
...  

Background Difficult cannulation during endoscopic retrograde cholangiopancreatography (ERCP) is associated with increased complications; therefore, its prediction is important. Purpose To identify radiologic risk factors of difficult cannulation during ERCP based on computed tomography (CT) findings and to develop a predictive model for a difficult cannulation. Material and Methods A total of 171 patients with native papilla who underwent both enhanced CT and ERCP were recruited. Two radiologists independently measured the distal common bile duct (CBD) diameter and choledochoduodenal (CD) angle and analyzed CT images for presence of CBD stone and papilla bulging, size and type of periampullary diverticulum (PAD), and duodenal segment in which major papilla was located. Multivariate logistic regression analysis and decision-tree analysis were performed to identify risk factors for difficult cannulation. Results Thirty-nine patients underwent a difficult cannulation. The multivariate logistic regression analysis revealed that a smaller CBD diameter, presence of papilla bulging, location of the major papilla other than the descending duodenum, a smaller CD angle, and a higher worrisome PAD score were statistically relevant factors for difficult cannulation ( P < 0.049). In the decision-tree analysis, a higher worrisome PAD score was the strongest predictor of difficult cannulation, followed by the presence of papilla bulging, smaller CD angle, and a smaller CBD diameter. The predictive model had an 82.5% overall predictive accuracy. Conclusion The CT findings-based decision-tree analysis model showed a high accuracy in predicting cannulation difficulty and may be helpful for making pre-ERCP strategy.


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