Objective The explore the feasibility of the left radial approach in treatment of patients with acute myocardial infarction by percutaneous coronary intervention.Methods A total of 114 patients with acute myocardial infarction were divided into right radial approach (right side group,n=54) and left radial approach (left side group,n=60).The time of puncture,catheteRin place of coronary artery originating,catheteRsuccess rate of first operation,the choice difference of guide wire,contrast agent dose,radioactive ray′s volume,the success rate and complications of intervention therapy were compared between two groups.Results There were no significant differences in the time of puncture,contrast agent dose,the success rate and complications of intervention therapy between two groups,but there was no significant difference in the choice of guide wire between two groups.The contrast catheteRtime and success rate of catheteRplacement in the left radial artery group were higheRthan the right radial artery group.There were no significant differences in the total amount of contrast agent,the success rate of interventional treatment and complications between the two groups,but the total amount of radiation exposure in the left radial artery group was less than the right radial artery group.Conclusion The left radial approach is a safe and effective way in treatment of patients with acute myocardial infarction underwent percutaneous coronary intervention.

Objective The explore the feasibility of the left radial approach in treatment of patients with acute myocardial infarction by percutaneous coronary intervention.Methods A total of 114 patients with acute myocardial infarction were divided into right radial approach (right side group,n=54) and left radial approach (left side group,n=60).The time of puncture,catheteRin place of coronary artery originating,catheteRsuccess rate of first operation,the choice difference of guide wire,contrast agent dose,radioactive ray′s volume,the success rate and complications of intervention therapy were compared between two groups.Results There were no significant differences in the time of puncture,contrast agent dose,the success rate and complications of intervention therapy between two groups,but there was no significant difference in the choice of guide wire between two groups.The contrast catheteRtime and success rate of catheteRplacement in the left radial artery group were higheRthan the right radial artery group.There were no significant differences in the total amount of contrast agent,the success rate of interventional treatment and complications between the two groups,but the total amount of radiation exposure in the left radial artery group was less than the right radial artery group.Conclusion The left radial approach is a safe and effective way in treatment of patients with acute myocardial infarction underwent percutaneous coronary intervention.

Objective:To observe the diagnostic value of six classification intelligent auxiliary diagnosis lightweight model for common fundus diseases based on fundus color photography.Methods:A applied research. A dataset of 2 400 color fundus images from Nanjing Medical University Eye Hospital and Zhejiang Mathematical Medical Society Smart Eye Database was collected, which was desensitized and labeled by a fundus specialist. Of these, 400 each were for diabetic retinopathy, glaucoma, retinal vein occlusion, high myopia, age-related macular degeneration, and normal fundus. The parameters obtained from the classical classification models VGGNet16, ResNet50, DenseNet121 and lightweight classification models MobileNet3, ShuffleNet2, GhostNet trained on the ImageNet dataset were migrated to the six-classified common fundus disease intelligent aid diagnostic model using a migration learning approach during training as initialization parameters for training to obtain the latest model. 1 315 color fundus images of clinical patients were used as the test set. Evaluation metrics included sensitivity, specificity, accuracy, F1-Score and agreement of diagnostic tests (Kappa value); comparison of subject working characteristic curves as well as area under the curve values for different models.Result:Compared with the classical classification model, the storage size and number of parameters of the three lightweight classification models were significantly reduced, with ShuffleNetV2 having an average recognition time per sheet 438.08 ms faster than the classical classification model VGGNet16. All 3 lightweight classification models had Accuracy > 80.0%; Kappa values > 70.0% with significant agreement; sensitivity, specificity, and F1-Score for the diagnosis of normal fundus images were ≥ 98.0%; Macro-F1 was 78.2%, 79.4%, and 81.5%, respectively.Conclusion:The intelligent assisted diagnosis of common fundus diseases based on fundus color photography is a lightweight model with high recognition accuracy and speed; the storage size and number of parameters are significantly reduced compared with the classical classification model.