Objective: When the region of interest is somewhere in the middle of the volumetric data, it will be occluded by other regions of the volumetric data and will be hard to see in the reconstruction of volume rendering. In order to provide doctor with comprehensive, visual and accurate diagnostic information, fast volume dipping of medical images on GPU is proposed in the paper. Methods: The rapid volume clipping is achieved by combining the dipping algorithm with the fast volume rendering algorithm based on GPU. The technique is based on fast volume tendering of medical images on GPU. It works as follows: The space information of the section plane is sent to the shader. Then compare the position of the volume data sets with the section plane to decide whether the data is clipped or not. Our algorithm is different from the algorithm that clipping based on depth stencil. We can see the result that reconstructed from the data sets that remained from any position as long as the section plane is defined. Results: According to the shape the users defined, our algorithm can decide which parts of the volume have to be clipped. Because of using the general graphics hardware acecleration, the proposed method achieves interactive display rate. Conclusions: The experiment shows that the algorithm is significantly fast and can meet the requirements of real-time interactive rendering on the premise of ensuring imaging quality and can be used in surgery simulation and so on.

Objective To investigate the multi factor for type 2 diabetes with hyperuricemia and metabolic syndrome for preven‐tion cardiovascular disease .Methods 672 cases diagnosed type 2 diabetes were selected in Beijing Anzhen and Cuigezhuang com‐munities to measure height ,weight ,neck circumference ,waist ,BMI ,blood pressure ,fasting plasma glucose ,HbA1c and lipid pro‐file .Results The prevalence of HUA in 672 cases is 8 .04% .It was significantly lower than coastal area population in Shandong Province .BMI ,neck circumference ,waist ,DBP ,FBG ,2 hPG ,HbA1c ,GLT ,BUN ,blood uric were significantly higher than NUA group .The prevalence of MS and fatty in HUA group is 75 .93% ,77 .78% .While in NUA group is 58 .9% ,56 .8% respectively P=0 .014 ,0 .003 .Logistic regression analysis showed that BMI ,HbA1c ,ALT ,BUN were associated with hyperuricemia in T2DM . Conclusion The prevalence of HUA in Beijing diabetic patients was lower than coastal area population ,but complicated MS and cardiovascular risk factor were high and seriously .

Objective To investigate the prevalence of dyslipidemia in subjects with type 2 diabetes mellitus in Beijing urban communities.Methods Total 3316 subjects with type 2 diabetes (age 20-80 years) were recruited from 15 urban community health centers in Beijing using a multi-stage random sampling approach.Dyslipidemia was diagnosed according to Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults:2007 version.Results Among 3316 diabetic subjects (1329 malesand 1987 females),75.6％ (2506/3316) had dyslipidemia,the prevalence was 72.5％ (964/1329)in men and 77.6％ (1542/1987) in women.The prevalence of hypertriglyceridemia and hypercholesterolemia was 41.9％ (1388/3316) and 48.1％ (1595/3316),respectively.31.5％ (1043/3316) subjects had high levels of low-density lipoprotein cholesterol (LDL-C) and 21.2％ (703/3316) had low high-density lipoprotein cholesterol (HDL-C).Among all subjects with dyslipidemia only 22.9％ (575/2506) took hypolipid agents.The overall blood lipid control rates of triglyceride (TG),total cholesterol (TC),LDL-C and HDL-C in 1393 subjects with dyslipidemia history were 48.0％ (669/1393),17.4％ (242/1393),30.9％ (430/1393) and 75.8％ (1056/1393),respectively.Diabetics with dyslipidemia had higher body mass index,waist circumference,blood pressure,plasma glucose and hemoglobin A1c.The prevalence of dyslipidemia in the overweight and uncontrolled-glucose group were 79.0％ (1678/2125),78.9％ (1756/2227),respectively.Logistic regression analysis showed that gender,age,body mass index and hemoglobin A1c were associated with dyslipidemia.Conclusions The prevalence of dyslipidemia in diabetic subjects in Beijing urban communities is high and less than one quarter patients take hypolipid agents.Age,body mass index and hemoglobin A1c are the risk factors of dyslipidemia in type 2 diabetic patients.

Objective To study clinical characteristics of type 2 diabetic(T2D)patients with metabolic syndrome(MS)and its components in Beijing urban communities.Methods Totally,3295 T2D patients involved in a combined prospective diabetic management study from 15 urban communities in Beijing were classified as four groups, according to 2004 Chinese Diabetes Society's definition of MS, i. e, isolated T2D, T2D with one component of MS, T2D with two components of MS and T2D with three components of MS. Their clinical characteristics were analyzed. Results ( 1 ) Among 3295 T2D patients, 155 (4. 7% )were isolated T2D, 107 (32.6%) T2D with one component of MS, 1386 (42.1%) T2D with two components of MS and 679 (20.6%) T2D with three components of MS, with an overall 62.7% (2065/3295) of T2D patients complicated with MS. (2) In these T2D patients, the more components of MS they had, the higher body mass index (BMI), waist circumference, waist to hip circumference ratio (WHR),systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting serum levels of insulin and triglyceride (TG) and the lower level of high-density lipoprotein-cholesterol (HDL) were presented (P <0. 01 ). (3) Percentage of isolated T2D in women increased from 49. 0% (76/155) to 61.9% (420/679)of those with three components of MS ( P < 0 01 ), with increasing of components of MS. (4) Multiple logistic regression analysis showed that BMI, history of hypertension, decreased HDL, increased TG,increased blood pressure, all were risk factors for T2D patients complicated with MS. Conclusions Among T2D patients in urban communities of Beijing, 95.3% (3140/3295) of them complicated with one or more components of MS, and 61.9% (420/679) of them complicated with MS. So, community diabetic management must be implemented in an all-round way, including control of blood pressure, blood lipids,body weight and so on, in addition to control of blood sugar.