ABSTRACT
Objective To investigate the relationship between low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (LHR) and asymptomatic carotid plaques and their stability in high-risk stroke population.Methods Between December 2012 and April 2015,a total of 39 944 permanent resident population ≥40 years were used as subjects of the survey from 11 rural communities in Haitou Town,Banzhuang Town and Tashan Town,Ganyu District,and 9 urban communities in Xinpu District and Haizhou District,Lianyungang City using epidemiological survey method of cluster sampling.Excluding those who took lipid-lowering drugs within 3 months and had a history of stroke or transient ischemic attack,6 592 people at high risk of stroke were finally screened out.Ultrasound was used to detect carotid plaques.The subjects were divided into plaque-free group and plaque group.The latter was further divided into stable plaque group and unstable plaque group.Multivariate logistic regression analysis was used to evaluate the independent risk factor for carotid plaques and their stability.The odds ratio (OR) and 95％ confidence interval (CI) were calculated.Receiver Operating Characteristic (ROC) curve was used to evaluate the prediction efficiency of LHR on carotid plaques.Results Multivariate logistic regression analysis showed that low-density lipoprotein cholesterol (LDL-C) was an independent risk factor for carotid plaques,while high-density lipoprotein cholesterol (HDL-C) was an independent protection factor of carotid plaques.Using the lowest quintile (Q1) of LHR as a reference,carotid plaque risk increased significantly with the increasing LHR (Q2:OR 1.448,95％ CI 1.082-1.937,P =0.013;Q3:OR 2.414,95％ CI 1.754-3.322,P＜0.001;Q4:OR 2.939,95％ CI 1.945-4.441,P＜0.001;Q5:OR 4.884,95％ CI 3.143-7.115,P＜0.001).ROC curve analysis showed that the area under the curve (AUC) of LHR predicting carotid plaques was 0.795 (95％ CI 0.792-0.807;P＜ 0.001),and the optimal cut-off value was 3.00 (sensitivity 68.37％,specificity 75.65％).LHR ≥3.92 (LHR in the Q4 and Q5 subgroups) was an independent risk factor for unstable carotid plaques (OR 2.915,95％ CI 2.104-4.040;P＜0.001).The AUC of the LHR predicting unstable carotid plaques was 0.658 (95％ CI 0.633-0.684;P＜0.001).Conclusions LHR was an independent predictor of carotid plaques in high-risk stroke patients.It had higher predictive value for carotid plaques,and its conversion threshold for promoting plaque formation was 3.00.When LHR was ≥3.92,there was a significant increase in the risk of unstable carotid plaques.
ABSTRACT
Objective To investigate the correlations of apparent diffusion coefficient (ADC) with fibrosis and fibroblast activation protein (FAP) score in pancreatic cancer .Methods Eighteen patients with pathologically confirmed pancreatic cancer were per‐formed conventional MR imaging ,DWI examinations .ADCs were measured with region of interest method on a “Single slice” .The wax blocks of 18 patients with pancreatic cancer were received Masson staining and FAP immunohistochemical staining .The correla‐tions of ADC with levels of fibrosis and FAP scores of pancreatic cancer were assessed by Pearson correlation analysis .Results The mild negative correlation between ADC value of cancerous foci and fibrosis was not significant (r= -0 .459 ,P=0 .056) .Significant negative correlation was found between ADC values of moderate and high differentiation cancerous foci and fibrosis (r= -0 .564 ,P=0 .044) .Significant negative correlation was found between ADC value and FAP score (r= -0 .497 , P=0 .036) .Conclusion The negative correlations are found between ADC and fibrosis ,FAP score of pancreatic cancer .DWI will be helpful to infer the pathologi‐cal characteristics .
ABSTRACT
Purpose To assess the diagnostic value of 18F-FLT and 18F-FDG PET/CT scan in patients with lung cancer. Materials and Methods Computer-based retrieval was performed on Medline, PubMed, EMbase, Wanfang data, CNKI and the Cochrane Library to search reports on diagnostic value of lung cancer with 18F-FLT and 18F-FDG PET/CT scan. The quality of included studies was evaluated according to quality assessment of diagnostic accuracy studies (QUADAS), and MetaDisc software was adopted to conduct meta-analysis. The pooled specificity, sensitivity, and diagnostic odds ratio (DOR) were calculated. The heterogeneity was tested. The summary receiving operating characteristic (SROC) curve was drawn, and the areas under the curve (AUC) as well as Q* were measured. Results Ten studies were included. Meta-analysis showed pooled sensitivity was 0.88, pooled specificity was 0.56, DOR was 9.10, AUC was 0.8102, Q*was 0.7448 for FDG group;pooled sensitivity was 0.79, pooled specificity was 0.78, DOR was 12.50, AUC was 0.8440, Q*was 0.7756 for FLT group. Conclusion Both 18F-FDG and 18F-FLT have well diagnostic value for lung cancer, but the specificity of 18F-FLT is higher than that of 18F-FDG in the diagnosis of lung cancer.