Objective To evaluate the value of deep learning(DL)-based artificial intelligence(AI)automatic reconstruction for evaluation of grafts in patients who underwent coronary artery bypass grafting(CABG).Methods Coronary CT angiography data of 90 patients who underwent CABG with a total of 197 grafts were retrospectively analyzed.Taken manual evaluation results(manual group)as the standards,the efficacy of AI(AI group)for evaluating the degree of stenosis of graft and distal autologous blood vessels were assessed.The consistency between calculating unprotected coronary territory(UCT)and the total time for image post-processing and diagnosis were compared between groups.Results AI group showed average consistency with manual group for evaluating the number of grafts([intra-class correlation coefficient,ICC]=0.743,P＜0.05),average to excellent for evaluating the maximum degree of graft stenosis(Kappa=0.310-1.000,all P＜0.05),also average to good consistency for evaluating the maximum degree of stenosis of the native vessel distal to the graft insertion(Kappa=0.292-0.795,all P＜0.05).AI group had moderate consistency with manual group for UCT(ICC=0.469,P＜0.05),achieved an area under the curve of 0.811.The overall time of image post-processing and diagnosis in AI group were both significantly shorter than that in manual group(P＜0.05).Conclusion Having acceptable consistency with manual evaluation and ability for assistant,AI was efficient for automatic reconstructing coronary artery bypass graft and quantifying the degree of graft stenosis.

Objective To evaluate the value of deep learning(DL)-based artificial intelligence(AI)automatic reconstruction for evaluation of grafts in patients who underwent coronary artery bypass grafting(CABG).Methods Coronary CT angiography data of 90 patients who underwent CABG with a total of 197 grafts were retrospectively analyzed.Taken manual evaluation results(manual group)as the standards,the efficacy of AI(AI group)for evaluating the degree of stenosis of graft and distal autologous blood vessels were assessed.The consistency between calculating unprotected coronary territory(UCT)and the total time for image post-processing and diagnosis were compared between groups.Results AI group showed average consistency with manual group for evaluating the number of grafts([intra-class correlation coefficient,ICC]=0.743,P＜0.05),average to excellent for evaluating the maximum degree of graft stenosis(Kappa=0.310-1.000,all P＜0.05),also average to good consistency for evaluating the maximum degree of stenosis of the native vessel distal to the graft insertion(Kappa=0.292-0.795,all P＜0.05).AI group had moderate consistency with manual group for UCT(ICC=0.469,P＜0.05),achieved an area under the curve of 0.811.The overall time of image post-processing and diagnosis in AI group were both significantly shorter than that in manual group(P＜0.05).Conclusion Having acceptable consistency with manual evaluation and ability for assistant,AI was efficient for automatic reconstructing coronary artery bypass graft and quantifying the degree of graft stenosis.

ObjectiveTo understand the current status of primary healthcare workers’ knowledge of hepatitis B and their willingness to engage in non-discriminatory behaviors， to explore the factors influencing their willingness， and to provide a basis for health education on hepatitis B for primary healthcare workers in Qinghai Province. MethodsA questionnaire survey was conducted among primary healthcare institutions in eight cities （prefectures） of Qinghai Province using a combination of random sampling and convenience sampling. The questionnaire included demographic information， knowledge related to hepatitis B， and willingness to engage in non-discriminatory behaviors. ResultsA total of 393 subjects were included in the survey. The accurate awareness rate of hepatitis B transmission route among primary healthcare workers in Qinghai Province was 36.89%. Of the respondents， 46.31% were unwilling to live with family members infected with HBV or carriers， and 50.13% were unwilling to dine with friends infected with HBV or carriers. The willingness of primary healthcare workers to engage in non-discriminatory behaviors related to hepatitis B varied by different places of residence， gender， marital status and per capita household income （P<0.05）. Regarding different dimensions of HBV-related knowledge， there were significant differences in age， education level， and per capita household income for transmission route （P<0.05）. Vaccination showed significant differences based on marital status and per capita family income （P<0.05）. There were significant differences in treatment and outcome among different gender， education level， and per capita family income. Anti-discrimination policies varied significantly by place of residence， age， ethnicity， and per capita income. Multivariate logistic regression analysis showed that primary healthcare workers’ knowledge of hepatitis B transmission route was a significant factor influencing their willingness to engage in non-discriminatory behaviors （OR=0.49， 95%CI：0.29‒0.84）. ConclusionIt is essential to continuously strengthen hepatitis B health education for primary healthcare workers in western China to reduce the willingness to engage in non-discriminatory behaviors towards hepatitis B and protect the rights of HBV-infected individuals.