Objective:To analyze the association between visceral fat area (VFA) and fatty liver based on quantitative CT (QCT) in people receiving health examination with normal body mass index (BMI).Methods:A cross-sectional study. A total of 1 305 physical examiners who underwent chest CT and QCT examination in the Department of Health Management of Henan Provincial People′s Hospital from January to December 2021 were retrospectively selected as subjects. The physical components at the central level of the lumbar two cone were measured with QCT, including subcutaneous fat area (SFA), VFA and liver fat content (LFC). And the metabolic indexes, such as blood lipids and blood glucose, were collected. The t-test and χ2 test were used to analyze the correlation between the detection rate of fatty live and LFCr and age and gender. According to level of VFA (<100 cm 2, 100-150 cm 2 and≥150 cm 2), the subjects were divided into three groups, and one-way ANOVA and χ2 test were used in comparison between groups. Multiple linear regression was used to analyze the correlation between VFA and metabolic indexes and LFC. Results:Of the 1 305 subjects, there were 634 males and 671 females. The detection rate of fatty liver in normal BMI population was 65.67%, and it was 72.71% and 59.02% respectively in men and women ( χ2=27.12, P<0.001), and the detection rate of fatty liver and LFC increased with age (both P<0.05). With the increase of VFA, the age, BMI, SFA, LFC, total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), alanine aminotransferase (ALT), blood uric acid and prevalence of fatty liver increased (all P<0.05), and the low-density lipoprotein cholesterol (HDL-C) decreased ( P<0.001). Multiple linear regression analysis showed that after adjustment for age factors, regardless of male or female, LFC was independently positively related with VFA, BMI, and ALT (male β=0.206, 0.145, 0.174, female β=0.194, 0.150, 0.184; all P<0.05). FBG was positively correlated with male independently ( β=0.134; P<0.001). The indicators related to female independently were TC, TG, and blood uric acid ( β=-0.121, 0.145, 0.141, all P<0.05) Conclusion:In the population receiving health examination with normal BMI, the VFA measured by QCT technique is closely related to fatty liver.

Objective To investigate the impact of anti-reflux modified duodenal exclusion surgery on glucose metabolism in rats with type 2 diabetes mellitus (T2DM), and to elucidate the role of the duodenum in maintaining glucose homeostasis. MethodsForty male Sprague-Dawley rats aged 5 weeks were fed a high-fat diet and induced with T2DM using low-dose streptozotocin. Thirty-six rats that met the T2DM model criteria were randomly divided into three groups: the simple duodenal exclusion surgery group (DE group), the anti-reflux modified duodenal exclusion group (MDE group), and the sham operation group (SO group), with 12 rats in each group. Gastroenterography was performed 4 weeks after surgery, and the body weight, fasting blood glucose levels, and serum glucagon-like peptide-1 (GLP-1) concentrations were measured before surgery and at 1, 2, 4, and 8 weeks post-surgery. Eight weeks post-surgery, the rats were euthanized, and a 1 cm segment of the biliopancreatic loop was collected from each group for pathological sectioning and HE staining to observe the intestinal mucosal villus length under an optical microscope. Results Gastroenterography showed that there was significant reflux of the contrast agent into the duodenal lumen in the DE group, while no reflux was observed in the MDE group. At one week post-surgery, the body weights of rats in all three groups significantly decreased compared to before surgery (P<0.05), and then the body weights of all groups increased over time, with no significant differences between the groups (P>0.05). Compared with the SO group, the fasting blood glucose levels in the MDE and DE groups significantly decreased at all time points post-surgery (P<0.05), while GLP-1 concentrations significantly increased (P<0.05). The fasting blood glucose levels in the MDE group were lower than those in the DE group at all time points post-surgery (P<0.05), but there were no significant differences in serum GLP-1 concentrations between the MDE and DE groups (P>0.05). Regarding intestinal mucosal morphology, the villus lengths of the biliopancreatic loops in the MDE group were significantly shorter than those in the DE and SO groups (P<0.05). Conclusion Anti-reflux modified duodenal exclusion surgery effectively improves glucose metabolism in T2DM rats by preventing the reflux of chyme into the diverted duodenum, thereby enhancing its hypoglycemic effect.

Objective:To analyze the correlation between body fat distribution measured by quantitative CT (QCT) and body mass index in adults receiving physical examination.Methods:It was a cross-sectional study. From January to December 2021, 3 205 adults undergoing physical examination who met the inclusion criteria and underwent chest CT and QCT examination in the health management discipline of Henan Provincial People′s Hospital were selected as the research objects. The general data were collected; and the subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, abdominal obesity and fatty liver detection rate were measured by QCT. According to body mass index, the subjects were divided into normal group (18.5-<24.0 kg/m 2, 1 343 cases), overweight group (24.0-<28.0 kg/m 2, 1 427 cases) and obesity group (≥28.0 kg/m 2, 435 cases). One-way analysis of variance and χ2 test were used to compare the differences of QCT indexes among the three groups. Pearson and Spearman correlation analysis were used to evaluate the correlation between QCT indexes and body mass index. Receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic effect of QCT on obesity and fatty liver. Results:Subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, abdominal obesity and fatty liver detection rate in obese group were all significantly higher than those in overweight group and normal group [males, (147.60±46.44) vs (104.33±27.68), (73.46±22.65) cm 2; (297.46±54.70) vs (229.40±53.12), (159.57±49.68) cm 2; (445.06±70.24) vs (333.73±62.91), (233.02±61.87) cm 2; 11.30% (7.90%, 15.55%) vs 8.75% (6.50%, 11.70%), 6.60% (4.80%, 8.70%); 100.0% vs 96.0%, 64.0%; 92.9% vs 86.7%, 73.3%; females, (213.96±48.61) vs (155.85±35.31), (107.24±31.01) cm 2; (185.41±43.88) vs (142.48±41.75), (96.56±36.50) cm 2; (399.37±68.07) vs (298.33±56.86), (203.80±57.53) cm 2; 9.80% (6.90%, 13.30%) vs 7.30% (5.05%, 9.80%), 5.40%(3.50%, 7.20%); 96.4% vs 74.8%, 28.9%; 87.3% vs 75.6%, 56.5%], and were all positively correlated with body mass index (males, r/ rs=0.709, 0.738, 0.831, 0.402, 0.464, 0.225; females, r/ rs=0.798, 0.695, 0.841, 0.416, 0.605, 0.276) (all P<0.001). In both male and female subjects, the detection rates of obesity based on QCT were significantly higher than those based on body mass index (male, 86.9% vs 16.6%; female, 49.3% vs 8.9%), and the detection rates of fatty liver based on QCT were significantly higher than those based on ultrasound (male, 83.6% vs 57.1%; female, 65.2% vs 27.6%) (all P<0.001). ROC curve showed that when the visceral fat area of 142 cm 2 was used as the cut-off value for the diagnosis of obesity in male subjects, the sensitivity and specificity was 100% and 15.8%, respectively; and when the cut-off value of liver fat content 5.0% was used to diagnose fatty liver, the sensitivity and specificity was 88.9% and 25.1%, respectively. When the visceral fat area of 115 cm 2 was set as the cut-off value for the diagnosis of obesity in female subjects, the sensitivity and specificity was 96.4% and 55.3%, respectively; when the liver fat content of 5.0% was set as the cut-off value for the diagnosis of fatty liver, the sensitivity and specificity was 83.7% and 43.2%, respectively. Conclusions:The indexes of abdominal fat and liver fat measured by QCT in adults receiving physical examination are all positively correlated with body mass index. The effect of QCT in the diagnosis of obesity and fatty liver are both better than body mass index and ultrasound.

Objective:To analyze the distribution of body fat with quantitative computed tomography (QCT) in people with normal body mass index (BMI).Methods:A cross-sectional study was conducted in the physical examination population who underwent chest CT and QCT examination in the Department of Health Management, Henan Provincial People′s Hospital from January to December in 2021, and 1 395 physical examination subjects who met the inclusion criteria were selected as the research subjects. The subjects were divided into five groups according to their age. The general data of the subjects were collected. The total abdominal fat area (TFA), visceral fat area (VFA), subcutaneous fat area (SFA), total abdominal muscle area (TMA) and muscle fat content (MFC) in the subjects were measured by QCT. One-way analysis of variance, Welch test and Kruskal-Wallis test were used to compare the above QCT measurement indexes between the two genders among different age groups with normal BMI. Pearson correlation analysis was used to analyze the correlation between VFA and sarcopenia indexes. Multivariate linear regression was used to analyze the relationship between VFA and linear correlation variables in the related indicators of sarcopenia.Results:There were significant differences in TFA, VFA, TMA and SMI among different age groups in subjects with normal BMI (all P<0.05). Pearson correlation analysis showed that VFA was negatively correlated with TMA in some age groups (male: 18-39 years group: r=-0.351; 40-49 years group: r=-0.278; 60-69 years group: r=-0.245; female:40-49 years group: r=-0.251; 50-59 years group: r=-0.270;≥70 years group: r=-0.391; all P<0.01); it was negatively correlated with SMI (male: 18-39 years group: r=-0.352; 40-49 years group: r=-0.340; 50-59 years group: r=-0.266; 60-69 years group: r=-0.316; female: 40-49 years group: r=-0.240; 50-59 years group: r=-0.284; all P<0.001); it was positively correlated with MFC (male: 18-39 years group: r=0.342; 40-49 years group: r=0.291; female: 50-59 years group: r=0.133; 60-69 years group: r=0.284; all P<0.05). Multivariate linear regression analysis showed that VFA was independently and negatively correlated with SMI in both men and women after adjusting for age interference factors (male B=-1.881, t=-6.025, P<0.001; female B=-0.603, t=-2.887, P=0.004), and it was independently positively correlated with MFC (male B=1.230, t=4.271, P<0.001;female B=0.893, t=3.836, P<0.001). There was an independent negative correlation between VFA and TMA in male subjects ( B=0.263, t=2.478, P=0.013). Conclusions:VFA is correlated with TMA, SMI and MFC in people with normal BMI. Regardless of gender, SMI has a negative effect on VFA, and MFC has a positive effect on VFA.

Aim To reveal the mechanism of cross-species ischemic heart failure from the perspective of spatial and gene co-expression networks.Methods GSE210374 and GSE57338 high-throughput sequencing datas were re-trieved from the national center for biotechnology information gene expression database(NCBI-GEO),and R language soft-ware packages was used to analyze and screen differentially expressed genes(DEG)in different myocardial regions of myo-cardial infarction rats,as well as DEG of myocardial samples from patients with ischemic heart failure and healthy controls,and the regional expression of common genes was analyzed.Weighted gene co-expression network analysis(WGCNA)was used to screen the genes related to myocardial infarction and to carry out enrichment analysis,protein-protein interac-tion network(PPI)was constructed to screen core genes(HG).Results A total of 4 835 differentially expressed genes were screened out in myocardial infarction rats and normal controls,and 51 differentially expressed genes were screened out in ischemic heart failure patients and normal control samples,which revealed representative gene sets in the left ventricular myocardial infarction area(I area),border area(BZ area),and remote area(R area)after myocardial in-farction.Spatial expression analysis revealed that there were 20 co-expressed genes in each myocardial region,16 of which were expressed in all three regions,the number of genes specifically expressed in I,BZ and R regions were 2,0 and 2,respectively.Enrichment analysis showed that the functions of co-expressed genes were different in different region.The I and BZ regions were related to collagen fiber assembly,stress-induced cardiomyocyte hypertrophy,down-regulation of c-Jun amino terminal kinase(JNK signal)and cell proliferation,and complement signaling pathways;The I and R regions were enriched in the binding of Wnt and collagen;As a non-ischemic distal R region,the co-expressed genes were signifi-cantly enriched in the extracellular matrix for functions such as compressive resistance,cytolysis and inhibition of T cell proliferation.Furthermore,it was worth noting that the products of co-expressed genes in the three regions were mostly lo-cated in the extracellular space and extracellular matrix,suggesting that there may be active cellular secretion and interac-tion regulation.Further PPI analysis suggested that asporin(ASPN),osteoglycin(OGN)and collagentype ⅩⅥ alpha chain(COL14A1)gene might be the core genes of the mechanism mentioned above.Conclusions The common mechanism of ischemic heart failure in rats and human involves multiple signaling pathways such as complement and coagu-lation cascade signaling and Wnt;which may be closely related to cell apoptosis mediated by extracellular matrix and exo-somes;ASPN,OGN,and COL14A1 may be the core genes.This work is expected to provide spatial and pathway refer-ence for the selection of intervention targets and pathway in the transformation research related to ischemic heart failure.

Background: Hypothermia is a crucial environmental factor that elevates the risk of cardiovascular disease, but the underlying effect is unclear. Objectives: This study examined the role of cold stress (CS) in cardiac injury and its underlying mechanisms. Methods: In this study, a chronic CS-induced myocardial injury model was used; mice were subjected to chronic CS (4°C) for three hours per day for three weeks. Results: CS could result in myocardial injury by inducing the levels of heat shock proteins 70 (HSP70), enhancing the generation of creatine phosphokinase-isoenzyme (CKMB) and malondialdehyde (MDA), increasing the contents of tumor necrosis factor-α (TNF-α), high mobility group box 1 (HMGB1) interleukin1b (IL-1β), IL-18, IL-6, and triggering the depletion of superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH). Multiple signaling pathways were activated by cold exposure, including pyroptosis-associated NOD-like receptor 3 (NLRP3)-regulated caspase-1-dependent/Gasdermin D (GSDMD), inflammation-related toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)-mediated nuclear factor kappa B (NF-κB), and mitogen-activated protein kinase (MAPK), as well as oxidative stressinvolved thioredoxin-1/thioredoxin-interacting protein (Txnip) signaling pathways, which play a pivotal role in myocardial injury resulting from hypothermia. Conclusions These findings provide new insights into the increased risk of cardiovascular disease at extremely low temperatures.

Objective To evaluate the effect of chest low-dose spiral computed tomography (LDCT) scan for lung cancer screening among asymptomatic adults. Methods Asymptomatic adults at the age of 18 years and older receiving LDCT scans for lung cancer screening in Shanghai Pudong New Area People’s Hospital from January 2019 to December 2021 were recruited, and those with positive pulmonary nodules underwent percutaneous needle biopsy or bronchoscopic biopsy for pathological examination of pulmonary nodules. The effect of LDCT scan for lung cancer screening was compared between never-smokers and ever-smokers. Results A total of 9359 eligible individuals meeting inclusion and exclusion criteria were enrolled, including 4492 never-smokers and 4867 ever-smokers, and the overall detection rate of positive pulmonary nodules was 16.2%. There were significant differences between never-smokers and ever-smokers in terms of age at the first LDCT screening, gender composition, body mass index, and cumulative follow-up period (P < 0.05), and no significant differences were seen in terms of types of pulmonary nodules at the first LDCT screening and proportion of subjects with positive pulmonary nodules (P > 0.05). There were no significant differences between never-smokers and ever-smokers with positive pulmonary nodules in terms of proportion of subjects with positive pulmonary nodules at the first LDCT screening, proportion of subjects with positive pulmonary nodules during the follow-up, types of pulmonary nodules at the first LDCT screening, proportion of subjects with multiple pulmonary nodules, and mean size of pulmonary nodules at the first LDCT screening (P > 0.05); however, there was a significant difference in the nature of pulmonary nodules (χ² = 47.23, P < 0.01). In addition, the incidence rate of lung cancer was significantly lower among never-smokers with positive pulmonary nodules than among ever-smokers with positive pulmonary nodules (χ²=6.42, P < 0.01). Conclusion Chest LDCT scan may significantly improve the detection rate of pulmonary nodules among never-smokers. Although the detection rate of lung cancer is significantly lower among never-smokers with positive pulmonary nodules than among ever-smokers with positive pulmonary nodules, there is no significant difference between never-smokers and ever-smokers in the false-positive rate of lung cancer screening with chest LDCT scan. Chest LDCT scan is recommended for lung cancer screening among asymptomatic adults.

Objective:To investigate the effects of personalized intermittent energy restriction (IER) diet on sleep related gut microbiome in obese patients.Methods:In this single-arm clinical trial, a total of 35 obese patients who visited Henan Provincial People′s Hospital from April to November 2018 were recruited as research subjects. They underwent a strict 32-day IER diet intervention, divided into 4 stages of 8 days each. Nutritional recipes were formulated and nutritious meals were provided to each obese patient with timed meals, including 55% carbohydrates, 15% protein, and 30% fat per meal. In stages 1, 2, 3, and 4, patients were provided with 2/3, 1/2, 1/3, and 1/4 of their previous calorie intake every other day, respectively, with meals at 8:00 and 16:00. During the remaining time, patients were allowed unrestricted eating at home. Physiological indicators (weight, body mass index, body fat percentage, waist circumference, hip circumference, fasting blood glucose, glycosylated hemoglobin, blood pressure, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein and Pittsburgh Sleep Quality Index (PSQI) scores were observed before and after the intervention. Gut microbiota changes were analyzed using metagenomic sequencing technology, and Spearman′s correlation analysis was used to assess the correlation between significantly different bacterial species and PSQI scores.Results:After the intervention, the body weight, body mass index, and PSQI scores of obese patients were all significantly lower than before intervention [(89.92±14.98) vs (97.53±15.67) kg, (31.94±3.95) vs (34.64±4.05) kg/m 2, (3.43±1.16) vs (5.42±2.27)], the abundance of gut microbiota was significantly higher after the intervention (all P<0.05). There were 45 significantly different bacterial species before and after the intervention, of which 6 bacterial species ( Enterobacter cloacae, Escherichia coli, Odoribacter splanchnicus, Oribacterium sinus, Streptococcus gordonii, and Streptococcus parasanguinis) showed significantly positive correlations with PSQI scores ( r=0.476, 0.475, 0.369, 0.391, 0.401, 0.423) (all P<0.05), and they were mainly enriched in the glutamate and tryptophan synthesis pathways. Conclusions:The personalized IER diet intervention can improve the sleep of obese patients while reducing weight, possibly mediated by changes in gut microbiota through the glutamate and tryptophan pathways.

Objective:To analyze the correlation between quantified body fat distribution measured by computed tomography (CT) and blood lipids in overweight and obese individuals undergoing physical examinations.Methods:In this retrospective cohort study, a total of 3 463 physical examination subjects who underwent chest CT combined with quantified CT examination in the Department of Health Management at Henan Provincial People′s Hospital from January to December 2021 were selected using a comprehensive sampling method. The subjects were divided into three groups: normal group (1, 424 cases), overweight group (1, 531 cases), and obese group (508 cases) based on their body mass index: 18.5 to <24.0 kg/m 2, 24.0 to <28.0 kg/m 2, and≥28.0 kg/m 2, respectively. General information, blood lipid parameters, and different body fat distributions measured by quantified CT (subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, muscle fat content) were collected in the three groups. One-way analysis of variance was used to compare differences in body fat distribution and blood lipid parameters, and Pearson correlation analysis was performed to evaluate the correlation between body fat distribution and blood lipids. Results:In the obese group, compared to the normal and overweight groups, subcutaneous fat area, visceral fat area, total abdominal fat area, liver fat content, muscle fat content, total cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride levels were significantly higher [males: (152.80±49.27) vs (72.94±22.68), (103.79±28.30) cm 2; (287.95±57.55) vs (156.36±49.40), (224.67±53.10) cm 2; (440.75±72.44) vs (229.31±62.01), (328.46±62.77) cm 2; (12.92±8.61)% vs (6.82±3.31)%, (9.39±4.88)%; (9.06±9.34)% vs (4.55±5.06)%, (6.70±6.73)%; (6.52±0.94) vs (4.87±1.03), (6.27±0.96) mmol/L; (3.05±0.76) vs (2.92±0.86), (2.97±0.77) mmol/L; (2.34±1.42) vs (1.53±0.82), (1.99±1.28) mmol/L; females: (213.82±46.87) vs (104.69±30.62), (155.05±34.90) cm 2; (184.88±46.54) vs (90.67±34.09), (138.92±42.06) cm 2; (398.71±71.28) vs (195.37±55.32), (293.97±57.05) cm 2; (11.36±6.34)% vs (5.51±3.02)%, (7.98±4.77)%; (7.44±7.60)% vs (3.70±3.90)%, (5.56±5.94)%; (5.27±0.96) vs (5.04±0.86), (5.11±0.96) mmol/L; (3.26±0.84) vs (2.92±0.79), (3.01±0.74) mmol/L; (1.74±0.69) vs (1.27±0.65), (1.57±0.77) mmol/L], while high-density lipoprotein cholesterol (HDL-C) was significantly lower [males: (1.17±0.19) vs (1.38±0.28), (1.25±0.25) mmol/L; females: (1.36±0.22) vs (1.59±0.32), (1.42±0.27) mmol/L] (all P<0.001). In males, the visceral fat area and total abdominal fat area in the overweight group were positively correlated with triglycerides ( r=0.175, 0.113) and negatively correlated with HDL-C ( r=-0.125, -0.113), while liver fat content was positively correlated with total cholesterol, LDL-C, and triglycerides ( r=0.083, 0.075, 0.206) and negatively correlated with HDL-C ( r=-0.093) (all P<0.05). In the obese group, the liver fat content was positively correlated with triglycerides ( r=0.170) and negatively correlated with HDL-C ( r=-0.166) in males (both P<0.05). In females, the visceral fat area and total abdominal fat area in the overweight group were positively correlated with total cholesterol, LDL-C, and triglycerides (visceral fat area: r=0.129, 0.160, 0.348; total abdominal fat area: r=0.121, 0.130, 0.283) and negatively correlated with HDL-C ( r=-0.264, -0.173), while liver fat content was positively correlated with triglycerides ( r=0.352) and negatively correlated with HDL-C ( r=-0.195) (all P<0.05). In the obese group, the visceral fat area was positively correlated with triglycerides ( r=0.213) and negatively correlated with HDL-C ( r=-0.223) in females (both P<0.05). Conclusion:Blood lipids are correlated with body fat distribution in overweight and obese individuals undergoing physical examinations, and the degree of correlation varies between different genders and body regions, with triglycerides showing the strongest correlation with liver fat content.

Objective:To investigate the feasibility of reducing the radiation dose on coronary artery calcium score (CS) of virtual non-contrast (VNC) scanning in dual-layer spectral coronary CT angiography(CCTA).Methods:One hundred and twenty-two patients were examined on a dual-layer spectral detector CT scanner from March 2019 to August 2020. Volume CT dose index (CTDI vol), dose length product (DLP), effective dose ( E) were all evaluated for each patient. CS was calculated from both true non-contrast (TNC) and VNC images for left anterior descending (LAD), left circumflex (LCx), right coronary artery (RCA), and the total coronary artery (Total) by two radiologists independently. Pearson′s correlation coefficient was calculated for measuring the association between variables. The correction coefficients of each branch (λ LAD, λ LCx, and λ RCA) and the average correction coefficient (λ AVG) of the total coronary artery were obtained. The calibrated calcium score (CCS_VNC) was equal to λ multiplied by CS_VNC. The CS_TNC and CCS_VNC were compared using repeated oneway analysis of variance test. Correlation analyses for CS_TNC and CCS_VNC and agreement evaluation with Bland-Altman-Plots were performed. Results:The average effective doses in TNC, CCTA and total group were 0.69, 6.47 and 7.16 mSv, respectively. The effective dose was reduced by 10.6% and the scan time was reduced by 39% while using VNC images. There were significant differences among the CS_TNC and CS_VNC of LAD, LCx, RCA and Total ( t=6.75, 5.33, 4.99, 6.60, P< 0.05). Excellent correlations were observed between CS_VNC and CS_TNC ( R2 values were 0.929, 0.896, 0.958, and 0.918; λ values were 2.18, 1.18, 2.15, and 2.07, respectively). There were no significant statistically difference among the CS_TNC, CCS_VNC AVG, and CCS_VNC LAD/RCA of the LAD and RCA (all P> 0.05). The difference was statistically significant among the CS_TNC, CCS_VNC AVG, and CCS_VNC LCx of the LCx ( F=10.94, P<0.05). The paired comparison were performed in groups and the differences were statistically significant between the CS_TNC versus CCS_VNC AVGand CCS_VNC AVG versus CCS_VNC LCx ( t=3.31, 3.43, all P<0.05). There was no significant statistically difference between the CCS_VNC LCx and CCS_VNC AVG( P>0.05). Conclusions:It was feasible to accurately evaluate the CS_VNC from spectral data in comparison to TNC imaging, and to reduce the patient radiation dose and acquisition time.