Preoperative diagnosis of biliary obstruction mainly depends on imaging examination.Percutaneous transhepatic cholangiography (PTC) is a common method in detecting biliary obstruction.PTC combined with computed tomography (CT) could enhance the diagnostic rate.From April 2009 to April 2011,8 patients with biliary obstruction were admitted to the Shenzhen Hospital of Peking University.Contrast solution (30 ml of iodine solution at a concentration of 1.5％ -2.0％)was injected through a PTC tube,and then CT scan was performed.An iohexol contrast solution at a concentration of 300 mgl/ml was injected at a dosage of 1.5 ml/kg and at 3-5 ml/s,then the arterial phase,venous phase and delayed phase were scanned.The original data were uploaded to Vitrea 2 workstation for multiplane reconstruction,maximum intensity projection and volume rendering.The procedure was successfully performed on all patients,and the position of the biliary obstruction was identified in 7 patients.Five patients were diagnosed as with hilar cholangiocarcinoma,1 with sclerosing cholangitis and 2 with adenoma of the distal common bile duct.The patients' symptoms were alleviated after percutaneous transhepatic biliary drainage.

Metal or semi-metal elements have numerous physiological and biochemical properties and have correlations with the process of occurrence and development of Zheng and Chinese herbal medicine pharmacodynamics mechanism. This article will expound the current situation of traditional Chinese medicine (TCM) research based on metal elements from the researches of Zheng, medicine theory, pharmacodynamic mechanism, prescription principles, medicine concocted theory and medicine quality control in TCM. In addition to putting forward the shortages of current researches, we also introduce metallomics, the member of Omics in systems biology to offer a new idea for modernization of TCM based on metal elements.

Objective To investigate the characteristics of body composition (BC) in gout patients and its clinical significance. Methods Consecutive gout patients were recruited between August 2017 and December 2018. Demographic information, clinical characteristics and comorbidities were collected. BC was assessed by bioelectric impedance analysis including body fat percentage (BF% ), trunk and limb BF%, appendicular skeletal muscle index. Overfat was defined by BF%≥25% for male and≥35% for female. The association between BC and serum uric acid (sUA) was evaluated by multiple linear regression. Results A total of 362 gout patients were recruited with median age 38 (30, 52) years, 96.1% (348/362) were male. Mean sUA was(551±133)μmol/L. The mean BF% was (25.8±6.4)% with 53.6%(194/362) patients overfat. Male gout patients with overfat showed more affected joints [4(2, 6) vs. 2(2, 5)], higher sUA [(576 ± 126)μmol/L vs. (523 ± 134) μmol/L], higher prevalence of dyslipidemia [70.1%(131/187) vs. 54.0%(87/161)], metabolic syndrome [60.8%(118/187) vs. 28.0%(47/161)], fatty liver [58.2%(113/187) vs. 35.1%(59/161)] and hypertension [44.4%(83/187) vs. 25.5%(41/161)] than male patients with normal fat (all P<0.05). Their BF% , trunk BF% and limb BF% were positively correlated with the numbers of affected joints, sUA, metabolic syndrome, fatty liver, and hypertension, respectively (r=0.154-0.435, all P<0.05). Multivariable linear regression suggested that BF% (β=4.29, P=0.020) and trunk BF% (β=9.11, P=0.007), but not limb BF% , were positively correlated with sUA. Conclusion Overfat is very common in gout patients. The proportion of trunk fat in male patients is positively correlated with sUA. When assessing obesity in gout patients clinically, body composition analysis should be performed simultaneously.

Objective: To investigate the characteristics of body composition (BC) in gout patients and its clinical significance. Methods: Consecutive gout patients were recruited between August 2017 and December 2018. Demographic information, clinical characteristics and comorbidities were collected. BC was assessed by bioelectric impedance analysis including body fat percentage (BF%), trunk and limb BF%, appendicular skeletal muscle index. Overfat was defined by BF% ≥25% for male and ≥35% for female. The association between BC and serum uric acid (sUA) was evaluated by multiple linear regression. Results: A total of 362 gout patients were recruited with median age 38 (30, 52) years, 96.1% (348/362) were male. Mean sUA was (551±133) μmol/L. The mean BF% was (25.8±6.4)% with 53.6%(194/362) patients overfat. Male gout patients with overfat showed more affected joints [4(2, 6) vs. 2(2, 5)], higher sUA [(576±126)μmol/L vs. (523±134) μmol/L], higher prevalence of dyslipidemia [70.1%(131/187) vs. 54.0%(87/161)], metabolic syndrome [60.8%(118/187) vs. 28.0%(47/161)], fatty liver [58.2%(113/187) vs. 35.1%(59/161)] and hypertension [44.4%(83/187) vs. 25.5%(41/161)] than male patients with normal fat (all P<0.05). Their BF%, trunk BF% and limb BF% were positively correlated with the numbers of affected joints, sUA, metabolic syndrome, fatty liver, and hypertension, respectively (r=0.154-0.435, all P<0.05). Multivariable linear regression suggested that BF% (β=4.29, P=0.020) and trunk BF% (β=9.11, P=0.007), but not limb BF%, were positively correlated with sUA. Conclusion Overfat is very common in gout patients. The proportion of trunk fat in male patients is positively correlated with sUA. When assessing obesity in gout patients clinically, body composition analysis should be performed simultaneously.