Calcified plaque in coronary arteries is one major cause and prediction of future coronary artery disease risk. Therefore, the detection of calcified plaque in coronary arteries is exceptionally significant in clinical for slowing coronary artery disease progression. At present, the Convolutional Neural Network (CNN) is exceedingly popular in natural images’ object detection field. Therefore, CNN in the object detection field of medical images also has a wide range of applications. However, many current calcified plaque detection methods in medical images are based on improving the CNN model algorithm, not on the characteristics of medical images. In response, we propose an automatic calcified plaque detection method in non-contrast-enhanced cardiac CT by adding medical prior knowledge. The training data merging with medical prior knowledge through data augmentation makes the object detection algorithm achieve a better detection result. In terms of algorithm, we employ a deep learning tool knows as Faster R-CNN in our method for locating calcified plaque in coronary arteries. To reduce the generation of redundant anchor boxes, Region Proposal Networks is replaced with guided anchoring. Experimental results show that the proposed method achieved a decent detection performance.

What is known and objective: Prior to nasotracheal intubation (NTI), topical nasal vasoconstrictors are used to prevent NTI-related epistaxis (NTIRE). Since we learned that there is no significant increase in NTIRE among hypertensive patients undergoing NTI with adequate lubrication but without vasoconstrictors, we initiated this randomized controlled study to assess the necessity of vasoconstrictor use in reducing NTIRE. Methods: Patients with the American Society of Anesthesiologists Physical StatusClassification 1 and normal coagulation function, planned to undergo maxillofacial surgery with NTI were enrolled. Patients were randomly (1:1) assigned to each of the treatment groups: nasal treatment using pure oxybuprocaine gel with adequate lubrication (group G) or 1% ephedrine in addition to oxybuprocaine gel with adequate lubrication (group EG). In addition, the incidence and severity of NTIRE and intubation adjustments were studied.Results: A total of 844 patients, 429 and 415 (groups G and EG, respectively), were included in the analysis. No significant differences were observed in the NTIRE incidence rates in groups G (28%) and EG (27%; p = 0.75, relative risk [RR] = 0.95, 95% confidence interval [CI] 0.70-1.29). No significant differences in the NTIRE incidence rates between the two nostrils were observed in both groups (group G: left, 27.9% vs. right, 28% [p = 0.98, RR = 1.01, 95% CI 0.67-1.51]; group EG: left, 25.8% vs. right, 27.9% [p = 0.63, RR = 1.12, 95% CI 0.72-1.73]. No significant difference was observed in the severity of NTIRE (p = 0.74). In case of difficult advancement of the endotracheal tube, NTIRE incidence was 71% vs. 12% with smooth intubation (p < 0.01,

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