Objective This study aimed to explore the ability of ultrasonographic radiomics in predicting the occurrence of in-stent restenosis(ISR)after carotid artery stenting(CAS)by analyzing the correlation between radiomic features of responsible plaques in carotid artery stenosis and the incidence of ISR.Methods A retrospective collection was conducted on 206 cases that underwent CAS treatment at our hospital.The enrolled patients were randomly split into a training set(144 cases)and a test set(62 cases)at a 7∶3 ratio.We utilized the Darwin Intelligent Research Platform to extract radiomic features from each region of interest,and then screened 1125 ultrasonographic radiomic features.Different machine learning algorithms were employed to construct diagnostic models,and the best-performing classifier was selected.Various prediction models were established,including a clinical-ultrasonographic feature model,a radiomic model,and a combined clinical-ultrasonographic-radiomic model.Results Multivariate logistic regression analysis in the training set revealed that hypertension,hyperuricemia,triglycerides,and plaque location were independent risk factors for ISR after CAS.For the clinical-ultrasonographic model,the area under the curve(AUC)values for the training and validation sets were 0.896 and 0.644,respectively.The corresponding AUC values for the radiomic model were 0.961 and 0.715,while those for the combined model were 0.947 and 0.727.Conclusion The radiomic model demonstrates superior performance in predicting ISR compared to the traditional clinical-ultrasonographic model.The combined model exhibited an enhanced ability to predict ISR occurrence,thereby improving the diagnostic performance of traditional assessments.

Objective To analyze the risk factors of tracheal reintubation after total aortic arch replace-ment and to provide evidence for the prevention of tracheal reintubation after total aortic arch replacement.Methods From January 1,2019 to June 31,2020,162 patients who underwent total aortic arch replacement in the Department of Cardiac Surgery of a tertiary grade-A hospital in Guangdong Province were randomly selected and divided into reintubation group(n=27)and control group(n=135)based on the occurrence of tracheal reintubation.The risk factors were analyzed by univariate and multivariate logistic regression.Results Among the 162 patients,27 cases(16.7%)had tracheal reintubation.Compared with those in the control group,the length of ICU stay and hospitalization cost in the reintubation group were significantly increased(P<0.001).Univariate analysis indicated that there were significant differences in terms of age,glomerular filtration rate,diabetes mellitus,venti-lator time,pulmonary infection,liver insufficiency,hypoxemia,delirium and cerebrovascular accident(P<0.05).Multivariate analysis showed age(OR=1.069,P=0.038),pulmonary infection(OR=5.227,P=0.047),delirium(OR=7.079,P=0.011),and ventilator use time(OR=1.006,P=0.001)were independent risk factors for tracheal reintubation after total arch replacement.A regression equation was established as follows:[Logit(P)=-8.885+0.066×age+1.654×pulmonary infection+1.957×delirium+0.006×time]of first ventilator use.The area under the ROC curve of the subjects in this model was 0.931(95%CI:0.884～0.979),P<0.001;The results of Hosmer-Lemeshow test(χ2=4.76 and P=0.782)indicated that the model had high accuracy.Conclusion Age,pulmonary infection,delirium and ventilator use time are independent risk factors for tracheal reintubation after total aortic arch replacement.

Objective This study aimed to explore the ability of ultrasonographic radiomics in predicting the occurrence of in-stent restenosis(ISR)after carotid artery stenting(CAS)by analyzing the correlation between radiomic features of responsible plaques in carotid artery stenosis and the incidence of ISR.Methods A retrospective collection was conducted on 206 cases that underwent CAS treatment at our hospital.The enrolled patients were randomly split into a training set(144 cases)and a test set(62 cases)at a 7∶3 ratio.We utilized the Darwin Intelligent Research Platform to extract radiomic features from each region of interest,and then screened 1125 ultrasonographic radiomic features.Different machine learning algorithms were employed to construct diagnostic models,and the best-performing classifier was selected.Various prediction models were established,including a clinical-ultrasonographic feature model,a radiomic model,and a combined clinical-ultrasonographic-radiomic model.Results Multivariate logistic regression analysis in the training set revealed that hypertension,hyperuricemia,triglycerides,and plaque location were independent risk factors for ISR after CAS.For the clinical-ultrasonographic model,the area under the curve(AUC)values for the training and validation sets were 0.896 and 0.644,respectively.The corresponding AUC values for the radiomic model were 0.961 and 0.715,while those for the combined model were 0.947 and 0.727.Conclusion The radiomic model demonstrates superior performance in predicting ISR compared to the traditional clinical-ultrasonographic model.The combined model exhibited an enhanced ability to predict ISR occurrence,thereby improving the diagnostic performance of traditional assessments.

Objective To analyze the risk factors of tracheal reintubation after total aortic arch replace-ment and to provide evidence for the prevention of tracheal reintubation after total aortic arch replacement.Methods From January 1,2019 to June 31,2020,162 patients who underwent total aortic arch replacement in the Department of Cardiac Surgery of a tertiary grade-A hospital in Guangdong Province were randomly selected and divided into reintubation group(n=27)and control group(n=135)based on the occurrence of tracheal reintubation.The risk factors were analyzed by univariate and multivariate logistic regression.Results Among the 162 patients,27 cases(16.7%)had tracheal reintubation.Compared with those in the control group,the length of ICU stay and hospitalization cost in the reintubation group were significantly increased(P<0.001).Univariate analysis indicated that there were significant differences in terms of age,glomerular filtration rate,diabetes mellitus,venti-lator time,pulmonary infection,liver insufficiency,hypoxemia,delirium and cerebrovascular accident(P<0.05).Multivariate analysis showed age(OR=1.069,P=0.038),pulmonary infection(OR=5.227,P=0.047),delirium(OR=7.079,P=0.011),and ventilator use time(OR=1.006,P=0.001)were independent risk factors for tracheal reintubation after total arch replacement.A regression equation was established as follows:[Logit(P)=-8.885+0.066×age+1.654×pulmonary infection+1.957×delirium+0.006×time]of first ventilator use.The area under the ROC curve of the subjects in this model was 0.931(95%CI:0.884～0.979),P<0.001;The results of Hosmer-Lemeshow test(χ2=4.76 and P=0.782)indicated that the model had high accuracy.Conclusion Age,pulmonary infection,delirium and ventilator use time are independent risk factors for tracheal reintubation after total aortic arch replacement.

Objective:To investigate the effect and influencing factors of microwave ablation (MVA) in the treatment of benign thyroid nodules.Methods:The clinical data of ultrasound-guided microwave ablation for thyroid benign nodules in the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine from April 2017 to April 2019 were retrospectively analyzed. At 1, 3 and 6 months after operation, conventional ultrasound examination was performed to calculate the volume reduction rate of the nodules. The nodules were divided into groups according to gender, age, nodule blood supply, nodule size, nodule nature and Hashimoto′s thyroiditis background, and the related factors influencing microwave ablation were analyzed.Results:68 patients (106 nodules) with benign thyroid nodules were treated with microwave ablation. The volume of benign thyroid nodules after the MWA treatment was significantly reduced after 1, 3, 6 months, and their nodule volume reduction ratio (VRR) were (39.7±6.1)% (1 months), (56.2±5.9)% (3 months), (70.3±5.4)% (6 months), respectively. There were significant differences in the volume reduction ratio of nodules at 1, 3 and 6 months after operation among different nodule size, nodule nature and Hashimoto′s thyroiditis background, with statistically significant difference ( P<0.05). However, there was no significant difference in the reduction ratio of nodules in different gender, age and nodule blood supply at 1, 3 and 6 months after operation ( P>0.05). Pearson correlation analysis showed that VRR was negatively correlated with ablation time per unit volume, with statistically significant difference ( P<0.05). Logistic regression analysis indicated that only nodule nature and ablation time per unit volume entered the regression equation. Conclusions:The size and nature of the nodules, Hashimoto′s thyroiditis background and ablation time per unit volume will affect the postoperative volume reduction rate.