Purpose To investigate the abnormal brain development in fetuses with isolated mild to moderate ventriculomegaly(VM)during the second and third trimesters of pregnancy by using semi-quantitative fetal total maturation score(fTMS).Materials and Methods A retrospective analysis was performed on 45 normal fetuses and 78 abnormal fetuses who underwent fetal MRI in the General Hospital of Ningxia Medical University from January 2018 to October 2022.fTMS was used to score all images.Linear regression was used to assess the relationship between fTMS and gestational age between normal and abnormal fetuses and to analyze the differences between fetuses with isolated mild and moderate VM and controls.Results In the control group,fetal fTMS was significantly positively correlated with gestational age(r=0.939,P<0.05).The linear regression equation between fTMS(Y)and gestational age(X)was as follows:Y=-28.1+1.25X.In the mild and moderate isolated VM groups,fTMS was positively correlated with gestational age(r=0.945,0.906,P<0.05).The linear regression equations of fTMS(Y)and gestational age(X)were:Y=-28.46+1.24X,Y=-25.57+1.13X.The average fTMS of healthy fetus,mild VM and moderate VM were(10.55±4.25)points,(10.13+4.08)points and(9.22±3.77)points,respectively.There was no significant difference in fTMS between the 49 fetuses with mild isolated VM and the control group(t=1.651,P>0.05).There was significant difference in fTMS between the 29 fetuses with moderate isolated VM and the control group(t=2.306,P<0.05).Conclusion fTMS is suitable for routine clinical use and sensitive to differences in brain maturation between fetuses with isolated moderate VM and healthy controls.

As a strategic emerging industry in China, 5G communication technology is building a transmission foundation for innovation and development of various industries in China, thanks to its characteristics of high bandwidth, multi-connection, security and reliability. As an important part of innovation and development, 5G technologies are finding promising applications in technology integration, mobile applications, data sharing, and Internet of things. It is designed to meet the needs of healthcare in various mobile scenarios and promote medical informationization, as well as promoting healthcare informationization and advancing lean management of medical institutions. The authors, based on the characteristics of 5G technology, analyzed its application status, and probed into 5G medical applications, its advantages and challenges in healthcare sector and the new opportunities so incurred for medical informatization, in order to promote the " digitalization" of the medical industry. These insights can provide references for the " digitized" transformation of the sector evolving towards a " smart" and " intelligent" one.

The in vitro release is an important index to evaluate the quality of liposome formulation.Currently, there is no evaluation method for the in vitro release of liposome in pharmacopoeia of various countries, which leads to the lack of unified standard and safety guarantee for the quality evaluation of liposome formulation.Taking the self-made paclitaxel derivative liposomes as an example, the paddle membrane binding method established by optimizing external release conditions was used to simulate the complete release of paclitaxel derivative drugs in 12 hours under physiological conditions.The results showed that using 0.5% SDS-HEPES as the release medium and a dialysis bag with a molecular weight cutoff of 1 000 kD to release the liposome solution met the requirements and had discrimination ability, providing a reference for the development of drug-loaded liposomes release methods in vitro.

Purpose To explore the predictive value of nomogram model for invasive breast cancer with axillary lymph node metastasis.Materials and Methods Retrospective analysis was made on 122 patients suspected to be breast cancer in the General Hospital of Ningxia Medical University from September 2020 to March 2022.According to whether there was axillary lymph node metastasis,all subjects were divided into 57 patients in the metastasis group and 65 patients in the non-metastasis group.All lesions were pathologically confirmed by surgery.The two groups received synthesis of magnetic resonance imaging(syMRI),dynamic contrast enhancement magnetic resonance imaging(DCE-MRI)and diffusion weighted imaging(DWI)scans.The syMRI parameters[including T1,T2,proton density(PD)],DCE-MRI time signal intensity curve,apparent diffusion coefficient(ADC)value of breast lesions were measured.Compared the difference of parameters between the two groups,and screened the independent risk factors of invasive breast cancer with axillary lymph node metastasis.Results Logistic regression results showed that Ki-67(OR=2.971,95%CI 1.306-6.762,P=0.009),lesion size(OR=1.652,95%CI 1.067-2.556,P=0.024),ADCratio(OR=1.685,95%CI 1.014-2.801,P=0.044),T2ratio(OR=3.015,95%CI 1.433-6.340,P=0.003),PDratio(OR=2.782,95%CI 1.471-5.262,P=0.002)were independent risk factors for invasive breast cancer with axillary lymph node metastasis.The comparison of the five models showed that the Logistic regression model had the best performance,with the area under curve of 0.729(95%CI 0.621-0.789),the accuracy,specificity and sensitivity were 70.65%,62.79%and 77.55%,respectively.The accuracy of the nomogram model was tested,and C-index=0.844,the accuracy of the nomogram model established was good,cut-off risk was 0.468,and the cut-off score was 143.50,which means that when the total score exceeds 143.50,the risk of axillary lymph node metastasis would be higher than 46.8%.Conclusion Nomogram model has a good predictive ability for invasive breast cancer patients with axillary lymph node metastasis.

The application of big data and artificial intelligence technology in the medical field is key to hospital informatization. In October 2018, a tertiary hospital launched a clinical intelligent application platform. The platform took AI assistant as the carrier of intelligent application, supported the role expansion, function expansion and connotation expansion of intelligent application, and layed the foundation for the construction of clinical intelligence. As of July 2022, the platform had been embedded into the outpatient, emergency and inpatient business systems with the help of AI assistant, realizing such intelligent applications as auxiliary diagnosis, auxiliary treatment, risk warning, AI medical record quality control, research entry group and infectious disease management, as well as enriching the connotation of such specialty applications as orthopedics and ear, nose and throat. The platform satisfied the integration and integration of hospital information construction and provided convenient and effective intelligent auxiliary tools for clinical use.

Objective To establish an ideal modeling method for diarrhea predominant irritable bowel syndrome(IBS-D)with anxiely and depression in rats,and to provide a basis for the clinical study of IBS-D.Methods 60 rats were used in this study.(1)At first,20 rats were randomly divided into blank,3%acetic acid enema,4%acetic acid enema,and 5%acetic acid enema groups.After the modeling and observation period,the diarrhea status and the degree of colon injury caused by different modeling concentrations were observed by diarrhea related index and colon histopathology.(2)After the optimal modeling concentration was assessed,40 rats were randomly divided into control(a),acetic acid enema(b),acetic acid+binding(c),and acetic acid+binding+tail clip(d)groups and correspondingly treated for 8 days.After the treatments,the general condition,diarrhea-related index,open field test(OFT)score,and colonic histopathology of rats were evaluated.Results(1)Compared with the blank group,the fecal trait score of 4%acetic acid enema group was increased on days 1 to 3 after intervention(P＜0.001),and gradually decreased on days 4 to 7 after intervention.After 1 week,there was no significant difference between the fecal trait score and that of the blank group(P＞0.05).Body weight was lower(P＜0.01),fecal water content was higher(P＜0.001).Compared with blank group,body weight of the 5%acetic acid enema group was decreased(P＜0.001),the fecal trait score and diarrhea index were increased(P＜0.01).No significant difference was found between 3%acetic acid enema and blank groups.The pathological colon tissue showed that,compared with the blank group,the mucosal structure of the 4%acetic acid enema group was complete with a small amount of inflammatory cell infiltration,and the pathological tissue score showed no significant difference(P＞0.05),whereas the 5%acetic acid enema had a medium to large amount of inflammatory cell infiltration,and the pathological tissue score was increased(P＜0.01).(2)Compared with group a,group b had lower body weight(P＜0.001),and higher fecal trait score,fecal water content and diarrhea index(P＜0.01).Compared with a and b groups,the body weight of c and d groups was lower(P＜0.001),the fecal traits score,fecal water content,and diarrhea index were increased(P＜0.01),and the colon running time was decreased(P＜0.01).Compared with group c,Fecal water content in group D was higher(P＜0.001).In the OFT score,compared with a and b groups,the OFT distance,standing times,and upright times in c and d groups were lower(P＜0.05).Compared with c,the OFT distance,standing times,and upright times in d group were lower(P＜0.05).The pathological tissue of colon showed that the mucosal structure of the four groups was complete,and there were different degrees of inflammatory cell infiltration.The pathological tissue scores of groups c and d were higher than those of groups a and b(P＜0.05).Conclusions The 4%acetic acid concentration is appropriate for IBS-D modeling.After superposition and binding,the IBS-D diarrhea and internal hypersensitivity characteristic state can be better simulated.After superposition of a tail clip,the IBS-D model of liver stagnation and spleen deficiency can be established successfully.

Human myelination begins in the fifth month of fetal development and continues after birth.Myelin development plays a key role in establishing and maintaining information conduction,coordination and communication within the brain,so prenatal quantitative assessment of myelin development is important.In recent years,many MRI techniques for myelin imaging have been developed and implemented,and quantitative MRI assessment of fetal myelin development has received increasing attention.In this review,we discuss the known structural and functional changes in the development of the myelin sheath of the fetal central nervous system,and review the research progress and future expectations of quantitative fetal MRI imaging.

The social problems and medical burdens caused by obesity have become more serious in recent years. Obesity is mainly caused by the imbalance of energy intake and consumption in the body. The central nervous system and related neurons regulate the balance of energy metabolism. The hypothalamic arcuate nucleus (ARC) contains anorexigenic proopiomelanocortin (POMC) neurons and orexigenic neuropeptid Y(NPY)/agouti-related protein (AgRP) neurons that regulate the feeding behavior of body. High-fat diet induces phosphorylation of Rb protein in POMC neurons, and inactivation of Rb phosphorylation leads to re-entry of POMC neurons from the resting-state into the cell cycle, which rapidly shifts to apoptosis. High-fat diet also causes the inhibition of neuronal regeneration, induces inflammation and neuronal damage, loss of neuronal homeostasis, leptin resistance, and ultimately leads to obesity. This review discusses the relationship between loss of neuronal homeostasis and dietary obesity, as well as the underlying mechanisms, which might provide the evidence for prevention and treatment of these diseases.
Arcuate Nucleus of Hypothalamus ; Homeostasis ; Humans ; Leptin ; Obesity ; Pro-Opiomelanocortin