Objective:To construct a porcine model of ischemia with non-obstructive coronary artery (INOCA) and explore the diagnostic value of a one-stop noninvasive method including CT myocardial perfusion imaging (CT-MPI) and coronary CT angiography (CCTA).Methods:Twelve swines were divided into the experimental group (9) and the normal group (3). Coronary microvascular dysfunction (CMD) porcine model was constructed in the experimental group by inducing diabetes mellitus, chronic kidney disease, and hypercholesterolemia. Invasive coronary angiography (ICA) and functional examination were performed on all 7+3 trial swines to clarify the INOCA diagnosis after completion of the modeling. Then, CT-MPI and CCTA were performed on all individuals to explore the CT-MPI and CCTA characteristics of INOCA porcine models. CT-MPI parameters, including myocardial blood flow (MBF), and myocardial blood volume (MBV) in rest and stress conditions, and CCTA parameters, including severity of stenosis and CAD-RADS, were analyzed.Results:ICA and functional tests showed that all swines in the experimental group met the diagnostic criteria for INOCA, which meant that INOCA porcine model was constructed successfully. CCTA results confirmed that there was no obstructive coronary stenosis in all 10 swines which were examined, which was consistent with ICA findings. CT-MPI results demonstrated that the mean MBF values, as well as the mean MBV values, in the rest and stress condition of each swines in the experimental group were lower than those of the control group. In contrast to the control group, the mean MBF and MBV values of swines in the experimental group in stress condition were generally lower than those in resting condition.Conclusions:In this study, a porcine model of CMD is successfully constructed by inducing hypercholesterolemia+diabetes mellitus+chronic kidney disease. ICA and invasive functional tests show that this CMD model meet the diagnostic criteria for INOCA. It has been confirmed that one-stop CT multimodality examination including CT-MPI and CCTA can be used for the diagnosis of INOCA as a noninvasive diagnostic method.

Objective:To explore the difference of the vessel and plaque characteristics, myocardial perfusion and cardiac function between patients with ischemia with non-obstructive coronary artery disease (INOCA) and obstructive coronary artery disease (CAD).Methods:From July 2021 to June 2022, 101 patients with angina were referred to dynamic computed tomography myocardial perfusion (CTP) and coronary computed tomography angiography (CCTA) and retrospectively included in our hospital. Based on the results of CTP and CCTA, patients were divided into INOCA (27 cases), moderate obstructive CAD (26 cases) and severe obstructive CAD (48 cases). The anatomical coronary artery stenosis, plaque characteristics and myocardial perfusion features of all patients were analyzed. Furthermore, left ventricular global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were obtained on full-phase reconstruction CCTA image by using Medis Suite 3.2 postprocessing software. Multigroup analysis used one way ANOVA or Kruskal Wallis H test. Results:Patients with INOCA were younger than patients with moderate and severe obstructive CAD ( P<0.001). INOCA patients (7.4%, 2/27) had lower rate of positive remodeling than both moderate (57.7%, 15/26, P<0.001) and severe obstructive CAD patients (33.3%, 16/48, P=0.017). The percentage of ischemic myocardium volume in patients with INOCA were similar with those in patients with severe CAD (all P>0.05), but significantly higher than those in patients with moderate CAD (all P<0.05). No significant difference in terms of GLS was detected between patients with INOCA [-17.4% (-21.6%, -11.6%)] and severe CAD [-17.6% (-21.9%, -14.8%), P=0.536], however, patients both with INOCA and severe CAD also had higher GLS than patients with moderate obstructive CAD [-22.3% (-29.8%, -19.0%), all P<0.05]. Conclusions:Based on"one-stop-shop"CTP combined with CCTA imaging, early cardiac functional changes including abnormal myocardial perfusion and myocardial strain in INOCA patients were similar to those in patients with severe obstructive CAD and more severe than those in patients with moderate obstructive CAD.

Objective:To assess the value of coronary CT angiography(CCTA) based vessel characteristics and plaque features in diagnosing ischemic stenosis.Methods:From April 2014 to June 2021, 129 patients (including a total of 158 coronary arteries) who underwent CCTA, then completed invasive coronary angiography (ICA) as well as fractional flow reserve(FFR) within 30 days were retrospectively enrolled. All coronary arteries were divided into ischemic group (FFR≤0.80, n=77) and non-ischemic group (FFR>0.80, n=81). Vascular characteristics, high-risk plaque features, quantitative parameters and the morphology of plaque were obtained from CCTA images. Independent samples t-test, Wilcoxon rank sum test and χ 2 test were used to compare afore-mentioned variables between the ischemic group and the non-ischemic group. The logistic regression model was used to analyze the risk predictors for ischemic stenosis. Results:Compared with non-ischemic group, the stenosis degree of coronary arteries in ischemic group was more serious(72.09%±8.55% vs. 63.52%±13.49%; t=4.765, P<0.001). The proportion of left anterior descending artery(LAD) lesions in ischemic group was higher than that of non-ischemic group [88.31%(68/77)vs. 55.56%(45/81); χ 2=20.793, P<0.001]. In terms of CCTA plaque characteristics, the ischemic group demonstrated longer plaque length, smaller minimum lumen area, larger plaque burden, increased percent plaque diffuseness, and diffuse lesions were more common. As for morphological characteristics of plaque, the proportions of plaques with rectangle shape, proximal longitudinal eccentric shape and distal longitudinal eccentric shape were higher than those of non-ischemic group, whereas cosine eccentric plaques were more common in the non-ischemic group( P<0.001). Multivariate logistic regression analysis showed that the stenosis severity(OR =1.09, 95 %CI 1.04-1.14, P<0.001), LAD involvement(OR =4.23,95 %CI 1.01-17.72, P=0.049), diffuse lesion(OR =6.71,95 %CI 1.43-31.52, P=0.016), proximal longitudinal eccentric shape (OR =3.77,95 %CI 1.27-11.16, P=0.017), and distal longitudinal eccentric shape (OR =3.91,95 %CI 1.19-12.85, P=0.025) were the independent influence factors for ischemic stenosis. Conclusion:The CCTA-based stenosis degree of coronary artery, LAD involvement, diffuse lesion, proximal longitudinal eccentric shape, distal longitudinal eccentric shape were important influence factors for ischemic stenosis.

Objective: To explore the effect of breastfeeding duration on age at adiposity rebound, and provide a scientific theoretical basis for identifying early life factors of obesity in children and adolescents, while promoting early intervention. Methods: In September 2019, first graders from a primary school in Minhang District, Shanghai, were selected to participate in this study, and their growth information was retrospectively collected. The natural cubic spline function was used to fit the body mass index trajectory of the subjects from 1 to 80 months, and age at adiposity rebound was calculated. A total of 6 148 subjects were selected, and complete data of adiposity rebound timing and breastfeeding duration were obtained. A multiple linear regression model was used to analyze the relationship between these two variables. Results: The average breastfeeding duration of all children included in the study was (3.71±3.28) months, and most of the subjects (69.63% for male and 70.45% for female) were breastfed for less than 4 months. A positive linear relationship was found between them [male, B =0.16(0.02-0.30), female, B =0.34(0.18- 0.51 ), total, B =0.23(0.12-0.34), P <0.05]. The linear relationship was determined using the multivariate model. Conclusion Breastfeeding duration independently affected age at adiposity rebound. Prolonging the duration of breastfeeding within 24 months of age may help to delay the timing of adiposity rebound,and thus reduce later risks of overweight and obesity.

Objective: To explore the influence of birth weight and growth patterns during infancy on overweight and obesity among first grade primary school pupils, so as to provide a theoretical basis for the formulation of early life prevention and intervention policies. Methods: In 2019, data related to routine physical examinations were collected for primary school pupils in the Minhang District of Shanghai, and information regarding birth and follow ups was collected retrospectively. Physical examination data of 4 434 pupils at 12 months of age were obtained. A multiple linear regression model was used to analyze the relationship between growth patterns during infancy and body mass index (BMI) in the first grade of primary school. A generalized linear model was employed to analyze the relationship between birth weight and growth patterns during infancy and overweight and obesity in the first grade of primary school. A hierarchical analysis was conducted. Results: A linear relationship was observed between growth patterns during infancy and BMI and the BMI Z score of first grade primary school pupils [ β(β 95%CI)=0.30(0.24-0.35),0.12(0.10- 0.15 ), P <0.01]. In addition to subjects classified as small for gestational age (SGA), catch up growth during infancy was identified among subjects who were classified as appropriate for gestational age (AGA) and large for gestational age (LGA). LGA at birth and catch up growth during infancy were independent risk factors for overweight and obesity among first grade primary school children ( RR =1.31-1.55, P <0.05). The hierarchical analysis showed that catch up growth increased the risk of overweight and obesity among first grade primary school pupils classified as AGA [ RR(RR 95%CI )=1.74(1.42-2.14),1.87(1.56-2.26)], and increased the risk of obesity among first grade primary school pupils classified as SGA and LGA [ RR(RR 95%CI )=3.74(1.04-13.49),3.24(1.62-6.46)]( P <0.05). Among those who exhibited catch up growth during infancy, LGA increased the risk of obesity among first grade primary school pupils ( RR= 2.60 , 95%CI=1.35-5.02, P <0.01), but not the risk of being overweight ( P =0.13). Conclusion Birth weight and growth patterns during infancy have an impact on overweight and obesity among children in the first grade of primary school. It is suggested that attention should be paid to growth and physical development in early life for those classified as LGA and AGA, and catch up growth in children should be closely monitored.

Objective: To explore the characteristics of the adiposity peak and rebound in early life among first year primary school students with different body weight measures, so as to provide scientific evidence for the development of prevention interventions to manage childhood overweight and obesity. Methods: A total of 2 330 first year primary school students who received routine physical examinations from September to December in 2019 were selected. According to body mass index (BMI) status, participants were divided into three categories:healthy weight, overweight, and obese. The BMI growth trajectories of the three groups were fitted by gender using the generalized additive mixed model from 1 to 80 months, retrospectively. Each subject s age at the adiposity peak and rebound, and associated BMI values, were calculated. Results: The prevalence of overweight and obesity was 16.31 % (380/ 2 330 ) and 16.09% (375/2 330), respectively. For first year students with obesity, the BMI value continued to be higher than their overweight or healthy weight counterparts during the first 80 months of life. The age at the adiposity peak for these students, whose BMI status varied, was about nine months. However, the BMI of children with overweight or obesity was much higher than that of healthy weight subjects. Age at adiposity rebound was 72 months for healthy weight children, 52 to 55 months in children defined as overweight, and 22 to 23 months in children with obesity. For healthy weight children, the fitted value of BMI at the adiposity rebound was less than that of overweight and obese children. Conclusion Age at the adiposity peak was largely similar among first year students with different BMI patterns; however, age at adiposity rebound was different. Age at adiposity rebound among children with obesity was much earlier than that of other subjects, and their BMI values were much higher.

Objective To investigate the methods of screening specific aptamers for (EpCAM)Gpositive prostate cancer (PCa)cells by cellGSELEX technique.Methods A random DNA library was designed to screen EpCAMGspecific DNA aptamers from human prostate cancer cells expressing EpCAM molecule by cellGSELEX technique.After 12 rounds of in vitro screening,DNA products were cloned and sequenced.Flow cytometry and cellular immunofluorescence were used to detect the specific binding ability of aptamers to target cells.Results Two aptamers of Ep1 and Ep2 were selected.Both of them could specifically bind to EpCAMGpositive cancer cells LNCap,PCG3 ,DU1 45 , and HEK293T cells transfected with target molecule.The binding rates of Ep1 were 61.0%,74.3%,5 9.1% and 60.3%.The binding rates of Ep2 were 65.1%,77.8%,54.2% and 58.3%.Neither of them could bind to HEK293T cells transfected with empty vector with the binding rate of 5.4% in Ep1 and 3.3% in Ep2,respectively.Flow cytometry analysis and confocal images indicated that the EpCAM aptamers could specifically recognize human PCa cells expressing EpCAM,but could not bind to EpCAMGnegative cells.Conclusion EpCAM aptamers derived from cellGSELEX technology can recognize and bind to EpCAMGpositive PCa cells specifically,which may provide new ideas for the specific diagnosis and targeted therapy of prostate cancer,and lay an experimental basis for the other specific diagnosis and treatment schemes of malignant tumors.

Objective To analyze preoperative CT angiography (CTA)imaging features of cervical arteries in patients with acute type A aortic dissection followed by postoperative neurological dysfunction (ND),and the correlations between risk factors and ND.Methods Clinical and imaging data of 110 patients who underwent repair of acute type A aortic dissection were analyzed retrospectively.The samples were categorized into two groups based on the presence or absence of ND.The clinical,perioperative and imaging data were compared between the ND group and the non ND (NND)group.Univariate and multivariate analyses were performed to identify predictors related with ND.Results A total of 100 patients were finally included in this study,and 18 patients(18%)developed with ND after aortic surgery.No significant differences in clinical and perioperative variables were observed between the ND group and the NND group (P＞0.05).However,on preoperative CT images,a dissection entry localized in the aortic arch (94.4% in the ND group), common carotid artery tear (83.3% in the ND group)and unilateral internal carotid artery density decrease (44.4% in the ND group) were all significantly higer than those in th NND group (P＜0.05 ).No significant difference were observed in true lumen stenosis of ascending aorta (P=0.053),retrograde dissection (P=0.913)and intimal tear (P=0.267)between ND group and NND group.The Logistic regression analysis revealed that a dissection entry localized in aortic arch (OR=21.325,P=0.008),common carotid artery tear (OR=14.441,P=0.022)and unilateral internal carotid artery density decrease (OR=9.141,P=0.024)were independent determinants of postoperative ND.Conclusion Preoperative CTA of cervical arteries can provide more imaging features,that may be indicative of postoperative ND.

Objective To explore the application value of monoexponential, biexponential models multiple b values diffusion weighted imaging(DWI) in distinguishing pancreatic cancer from non-tumorous pancreas.Methods Subjects comprised 37 pancreatic cancers confirmed by clinical or surgery.Pancreas multiple b values DWI was performed using 3.0T scanner.Standard apparent diffusion coefficient (ADCstandard) was calculated using monoexponential diffusion model.Pure diffusion coefficient (ADCslow), pseudodiffusion coefficient (ADCfast) and perfusion fraction (f) were calculated using intravoxel incoherent motion(IVIM) diffusion model.Parameters of pancreatic cancers and non-tumorous pancreas were compared using independent samples t test.Results Mean ADCslow value of pancreatic cancer was higher than that of non-tumorous pancreas (0.611×10-3 mm2/s vs 0.521×10-3 mm2/s,P=0.037).Mean ADCfast and f values of pancreatic cancer were lower than that of non-tumorous pancreas (5.066×10-3 mm2/s vs 7.188×10-3 mm2/s,P=0.035;55.8% vs 64.0%,P=0.016;respectively).ADCslow of pancreatic cancer was positively correlated to ADCstandard (r=0.824,P=0.000).ADCfast of pancreatic cancer was negatively correlated to f(r=-0.558,P=0.000).Conclusion ADCslow, ADCfast and f derived from IVIM-DWI model can distinguish pancreatic cancer from non-tumorous pancreas.IVIM-DWI may be a promising and non-invasive tool for early diagnosing and differentiating pancreatic carcinoma from non-tumorous pancreas.

Purpose To explore the application of intra voxel incoherent motion diffusionweighted imaging (IVIM-DWI) quantitative parameters in evaluating the pathological stage of pancreatic cancer by comparing the manifestations of IVIM-DWI in patients with pancreatic cancer in different differentiaed degrees as there lacked effective screening instrument for the early diagnosis of pancreatic cancer.Materials and Methods Sixteen patients with pathologically proved pancreatic cancer (10 with high-moderation differentiation while 6 with low differentiation) were enrolled,and 3.0T MRI was used to conduct pancreatic DWI with multiple b values.IVIM double-exponential model was used to analyze the measurement parameters of DWI with multiple b values,so as to measure the slow apparent diffusion coefficient (ADCslow),fast apparent diffusion coefficient (ADCfast) and filling fraction (f).Results The ADCslow value was evidently lower in patients with high-moderate differentiated pancreatic cancer than those with low differentiated pancreatic cancer [(0.546± 0.041)× 10-3 mm2/s vs.(0.677± 0.120)× 10-3 mm2/s,P＜0.05],and f value was notably higher in patients with high-moderate differentiated pancreatic cancer than those with low differentiated pancreatic cancer [(59.3 ± 8.8)％ vs.(41.7±22.4)％,P＜0.05].The area under the curve of ADCslow was higher than that of f when distinguishing high-moderate differentiated and low differentiated pancreatic cancer (0.850＞0.750).The sensitivity and specificity were 100.00％ and 83.33％ when ADCslow ≤ 0.599×10-3 mm2/s,and were 100.00％ and 66.67％ when f＞44.7％ in distinguishing high-moderate differentiated and low differentiated pancreatic cancer,respectively.Conclusion ADCslow and f,as the quantitative parameters for IVIM-DWI,can distinguish high-moderate differentiated and low differentiated pancreatic cancer,and predict the pathological stage of pancreatic cancer before operation.Moreover,they also have high diagnostic efficacy in distinguishing high-moderate differentiated and low differentiated pancreatic cancer.