Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Primary biliary cholangitis (PBC) is a chronic cholestatic liver disease, and may progress to cirrhosis and associated with complications of end-stage liver disease. The immunological characteristic of PBC is the presence of anti-mitochondrial autoantibodies (AMAs), and some anti-nuclear antibodies (ANAs) have high specificity for the diagnosis of PBC. In recent years, it has been found that anti-gp210, anti-sp100 and anti-centromere antibodies are correlated with the severity of PBC, treatment response to ursodeoxycholic acid (UDCA) and poor prognosis. However, correlation between AMAs and disease progression of PBC is still in controversial. This article reviewed the progress in research on the influence of autoantibodies on biochemical response and prognosis of PBC.

Objective Recent studies have found that Roux-en-Y gastric bypass( RYGB) can inhibit the levels of blood glucose in type 2 diabetes,but its mechanism still remains unknown. In present study,we observed the effect of RYGB on insulin and GLP-1of type 2 diabetes mice. Methods The 12-week-old male SD rats were divided into four groups:group A ( no surgery,normal diet) ,Group B ( no surgery,DM diet+STZ injection) ,group C ( gastric bypass surgery+normal diet) ,group D ( gastric bypass surgery+DM diet+STZ injection) . One week after surgery rehabilitation,the diabetes model was built by STZ ( revulsant of the classical diabetes model) and high-fat-control diet. After four months,the changes of blood glucose,OGTT,body weight,food intake,water intake in each group were examined. Furthermore,the patho-logical changes of insulin and pancreatic were detected by HE staining. Meanwhile,the liver PEPCK gene and protein expression were detec-ted by using RT-PCR and Western blot. Results Four groups of rats all have significant changes in diet and weight. HE staining suggests the disseminated hyperemia and edema in pancreas and showed that islet has been severe damaged. Compared with no treatment normal diet,nor-mal rat+DM diet+STZ injection,has a markedly elevated blood glucose level 3 days later,insulin,OGTT,GLP,and ITT all have remarkable changes in different time periods,with a statistically significance (P<0. 05). Compared with the normal rat+DM diet+STZ injection group, RYGB + DM diet+ STZ injection group showed that these indicators of pancreas pathological changes significantly,glucose,insulin,OGTT, GLP,ITT all have significantly drop,as well as the gene and protein expression of PEPCK (P<0. 05). Conclusion RYGB can exert influ-ence on the change of insulin,OGTT,GLP,ITT and PEPCK in islets of type 2 diabetes rats,which may play a positive role in the further clini-cal applications.