Objective To analyze optimal amount of drinking water,ways of drinking water,timelimit of drinking water on the effect of bowel preparation for intravenous pyelography (IVP) examination after oral administration of 50% magnesium sulfate 60 ml. Methods 200 patients who gave their consentfrom June 2009 to February 2010 drank 50% magnesium sulfate 60 ml for IVP check were divided into four groups. Group A: a large amount of graded oral administration of warm water 1200 ml within 1h; Group B: a small amount of oral administration of warm water 1200 ml within 1h;Group C: a large amount of graded oral administration of warm water 2000 ml within 1h; Group D: a medium amount of graded oral administration of warm water 1200 ml within 2 h. And then the bowel preparation effect of the four gro ups were analyzed. Results Through the comparison, group A was much better than the other groups on the aspects of cathartic satisfaction, the effective degree of reading films and flatulence. Conclusions To take a large amount of graded oral administration of warm water 1200 ml within 1h can improve cathartic satisfaction,the effective degree of reading films and flatulence.

Parkinson's disease (PD) is a neurodegenerative disease with motor symptoms as the main manifestation. It often starts from one side, and the motor symptoms of different sides are different in the speed of disease development, types of non-motor symptoms and treatment response. This paper focuses on the clinical characteristics, potential mechanisms, imaging manifestations and treatment differences of lateralization of motor symptoms in PD to provide some help for the clinical diagnoses and treatments of PD.

In view of the characteristics of the computerized system,the key points in the quality assurance (QA) of the computerized system was discussed and summarized combined with the requirements of the GLP laboratory in Europe and America.The validation of computerized system,the control during the use of computerized system,period maintenance and safety protection of computerized system,archives of electronic data was discussed,expecting to provide reference for the management of computerized system in Chinese GLP laboratory which is generally not high currently.The experiences were obtained as follow:Through repeated inspection and review,the problem was found and set as the risk point;a targeted QA inspection plan was made focusing on the risk-based inspection and the QA inspection plan was timely adjusted according to the problems,which ensures the pertinence and validity of the QA inspection.

The aim of this study was to investigate the effect of transmembrane 9 superfamily protein member 2 (TM9SF2) in proliferation and migration of triple negative breast cancer cell line MDA-MB-231.The expression of TM9SF2 in triple negative breast cancer cell line MDA-MB-231 and nontumorigenic mammary epithelial cell line MCF-10A were measured by Western blot. MDA-MB-231 cells were treated with siRNA-TM9SF2 to knock-down the expression of TM9SF2. The effect of silencing TM9SF2 was measured with Western blot.The proliferation of cells was tested by MTS,and the migration was measured with Transwell and wound-healing assay.Proteins related to proliferation (PI3K,AKT,SRC and ERK) and migration (Snail,Slug and N-cadherin) were measured with Western blot.Protein expressions of TM9SF2 was better improved in triple negative breast cancer MDA-MB-231 cell line than MCF-10A.Compared with the control group, the siRNA-TM9SF2 infected group had lower expressions of PI3K, Snail, Slug and N-cadherin, and at the same time phosphorylation of AKT was decreased. The results suggest TM9SF2 can promote the proliferation and metastasis of triple negative breast cancer MDA-MB-231 cell line.

White matter hyperintensity refers to spots or patches changes of white matter in the paraventricular or subcortical regions, which is closely related to the occurrence of cognitive impairment and dementia. This article reviews the neuroimaging examination and imaging evaluation scale of white matter hyperintensity.

Objective:To develop an artificial intelligence (AI) quality control model of fetal heart in the first trimester and verify its effectiveness.Methods:A total of 18 694 images of the four-chamber view(4CV) and three-vessel and tracheal view(3VT) of fetal heart in the first trimester were selected from Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University since January 2022 to December 2022. A total of 14 432 images were manually annotated. The one-stage target detection algorithm YOLO V5 was used to train the AI quality control model in the first trimester of fetal heart, and 4 262 images (golden standard set by expert group) were used to evaluate the application effectiveness of AI quality control model. Kappa consistency test was used to compare the results of section classification and standard degree judgment from AI quality control model, Doctor 1(D1) and Doctor 2(D2).Results:①Precision of the AI quality control model was 0.895, recall was 0.852, mean average precision (mAP 50) was 0.873.The average precision(AP) of the AI quality control model for section classification was 0.907 (4CV) and 0.989 (3VT), respectively. ②Compared with the gold standard, the overall coincidence rate and consistency of section classification of AI quality control model, D1 and D2 were 99.91% (Kappa=0.998), 100% (Kappa=1.000), 100% (Kappa=1.000), respectively. The coincidence rate and consistency of the plane standard degree evaluation from the AI quality control model, D1 and D2 were 97.46% (Weighted Kappa=0.932), 93.73% (Weighted Kappa=0.847), and 93.12% (Weighted Kappa=0.832), respectively. Strong consistency was displayed. Moreover, AI quality control model showed the highest coincidence rate and the strongest consistency in judging section standard degree, which was superior to manual quality control. The time-consuming of AI quality control (0.012 s/sheet) was significantly less than the way of manual quality control (4.76-6.11 s/sheet)( Z=-8.079, P<0.001). Conclusions:The use of artificial intelligent fetal heart quality control model in the first trimester can effectively and accurately control the image quality.

Objective To observe the correlations of pontine biological indicators on fetal brain median sagittal MRI with gestational week.Methods Data of head MRI of 226 normal fetuses without obvious abnormalities of central nervous system(normal group)and 17 fetuses with abnormalities(abnormal group)at gestational age of 23 to 38 weeks were retrospectively analyzed.Pontine biological indicators based on median sagittal MRI were obtained,including pons anteroposterior diameter(PAD),total pons area(TPA),pontine basal anteroposterior length(AP),pontine basal cranio-caudal length(CC),basis pontis area(BPA)and pontine angle of midbrain(MAP).According to the gestational week,the fetuses of normal group were divided into 8 subgroups.The distributing ranges of pontine biological indicators at different gestational weeks were analyzed,and the correlations of pontine biological indicators with gestational week in normal group were explored,and the developmental status of fetal pons in abnormal group were assessed.Results In normal group,PAD,TPA,AP,CC and BPA all showed linear positive correlation(r=0.887,0.914,0.787,0.866,0.865,all P＜0.001),while MAP was not significantly correlated with gestational week(P＞0.05).Among 17 fetuses in abnormal group,abnormal PAD or TPA was found each in 8 fetuses,abnormal AP was observed in 14,abnormal CC was noticed in 3 and abnormal BPA was found in 11 fetuses.Conclusion Fetal pontine biological indicators such as PAD,TPA,AP,CC and BPA on median sagittal MRI were positively correlated with gestational week,hence being able to be used for evaluating fetal pontine development.