Curettage is the main treatment method for oral maxillofacial cystic lesions,but simple curettage may easily damage surrounding structures such as adjacent teeth and nerves,leading to incomplete removal of the cyst and large jaw defects.The curettage assisted by endoscopy can provide a good surgical field for the surgeons,can clearly identify the important anatomical structure during the operation and can remove the cyst wall tissue as much as possible,thereby reducing the damage and reducing the recurrence rate of the lesion.This article combines the characteristics of maxillofacial surgery with clinical treatment experience,summarizes relevant literature from both domestic and international sources,and engages in discussions with experts in order to provide reference for the clinical treatment of jaw cystic lesions with endo-scope assisted curettage.

Objective To investigate the intervention effect and mechanism of LUO's Neiyi Prescription on the proliferation and angiogenesis of eutopic endometrium in rats with endometriosis(EMs)based on hypoxia-inducible factor 1A(HIF1A)/enhancer of zeste homolog 2(EZH2)/anthrax toxin receptor 2(ANTXR2)signaling pathway.Methods SD rats were randomly divided into sham operation group,model group,Danazol group(4.2 g·kg-1),low-dose LUO's Neiyi Prescription group and high-dose LUO's Neiyi Prescription group(15.74,31.48 g·kg-1),eight rats in each group.The rat model of EMs with qi stagnation and blood stasis syndrome was constructed by autologous endometrial transplantation combined with multi-factor intervention.Intragastric administration was given once a day for 28 consecutive days.The pathological changes of endometrial tissue were observed by HE staining.The expression levels of proliferating cell protein 67(Ki67)and platelet endothelial cell adhesion molecule 1(CD31)in endometrial tissue were detected by immunohistochemistry.The mRNA and protein expression levels of HIF1A,EZH2 and ANTXR2 in endometrial tissues were detected by qRT-PCR and Western Blot.The expression levels of YAP1,CD44 and β-catenin in endometrial tissues were detected by Western Blot.Results Compared with the sham operation group,the epithelial cells of the eutopic endometrium of the model group were thickened,the interstitial cells were arranged disorderly,and the inflammatory cells increased.The expression levels of Ki67 and CD31 in endometrial tissues were significantly increased(P＜0.01),the mRNA and protein expression levels of HIF1A and ANTXR2 were significantly increased(P＜0.01),while the mRNA and protein expression levels of EZH2 were significantly decreased(P＜0.01),and the protein expression levels of YAP1,CD44 and β-catenin were significantly increased(P＜0.01).Compared with the model group,the epithelial layer of the eutopic endometrial tissue of the rats in each administration group became thinner,the interstitial disorder and inflammatory infiltration were improved,and the levels of Ki67 and CD31 in the eutopic endometrial tissue were significantly decreased(P＜0.01).The mRNA and protein expression levels of HIF1A and ANTXR2 in the endometrium of rats in the Danazol group and the high-dose LUO's Neiyi Prescription group were significantly decreased(P＜0.05,P＜0.01),and the mRNA and protein expression levels of EZH2 were significantly increased(P＜0.05,P＜0.01).The protein expression levels of YAP1,CD44 and β-catenin in endometrial tissue of rats in each administration group were significantly decreased(P＜0.05,P＜0.01).Conclusion LUO's Neiyi Prescription can play a role in the treatment of EMs by inhibiting the proliferation and angiogenesis of eutopic endometrial cells,and its mechanism may be related to the inhibition of HIF1A/EZH2/ANTXR2 signaling pathway.

ObjectiveTo analyze the long-term survival of non-small cell lung cancer （NSCLC） patients treated with Fuzheng Gushe therapy in the real world. MethodA retrospective cohort study was carried out with the NSCLC patients treated with Fuzheng Gushe therapy from January 2014 to December 2018 in Dongzhimen Hospital， Beijing University of Chinese Medicine as the integrated traditional Chinese medicine （TCM） and western medicine cohort. The NSCLC data from January 2011 to December 2015 in the Surveillance， Epidemiology， and End Results （SEER） database were downloaded as the western medicine cohort. The propensity score matching （PSM） was employed to balance the confounding factors between the groups， and comparable samples were obtained from the two groups. The Log-rank test was conducted to compare the overall survival between the groups and the survival curves were established. ResultThe integrated TCM and western medicine cohort and the western medicine cohort included 511 and 5 022 NSCLC patients， respectively. The age， sex， and chemotherapy had no significant differences between the two cohorts， while pathological type， lymph node metastasis （N）， distant metastasis （M）， surgery， and radiotherapy were different between the two cohorts （P<0.05）. After PSM， 122 comparable samples were obtained. The overall survival analysis showed that the total survival of the integrated TCM and western medicine cohort was better than that of the western medicine cohort （P<0.05）. The stratified survival analysis showed that the integrated TCM and western medicine cohort had survival advantages in females， males， the young， and adenocarcinoma， N+， and M+ patients （P<0.05）. ConclusionFuzheng Gushe therapy can significantly improve the overall survival of NSCLC patients， especially in the females， the males， the young， and the patients with adenocarcinoma， lymph node metastasis， and distant metastasis.

Due to the high complexity and subject variability of motor imagery electroencephalogram, its decoding is limited by the inadequate accuracy of traditional recognition models. To resolve this problem, a recognition model for motor imagery electroencephalogram based on flicker noise spectrum (FNS) and weighted filter bank common spatial pattern ( wFBCSP) was proposed. First, the FNS method was used to analyze the motor imagery electroencephalogram. Using the second derivative moment as structure function, the ensued precursor time series were generated by using a sliding window strategy, so that hidden dynamic information of transition phase could be captured. Then, based on the characteristic of signal frequency band, the feature of the transition phase precursor time series and reaction phase series were extracted by wFBCSP, generating features representing relevant transition and reaction phase. To make the selected features adapt to subject variability and realize better generalization, algorithm of minimum redundancy maximum relevance was further used to select features. Finally, support vector machine as the classifier was used for the classification. In the motor imagery electroencephalogram recognition, the method proposed in this study yielded an average accuracy of 86.34%, which is higher than the comparison methods. Thus, our proposed method provides a new idea for decoding motor imagery electroencephalogram.
Brain-Computer Interfaces ; Imagination ; Signal Processing, Computer-Assisted ; Electroencephalography/methods* ; Algorithms ; Spectrum Analysis

Objective:To explore the normal ranges of perfusion parameters between cerebral hemisphere, cerebellar hemisphere and brain anatomical subregions (56 pairs) in different gender and age groups with multiple post labeling delay time (Multi-PLD) arterial spin labeling (ASL) imaging.Methods:From November 2020 to December 2020, 42 healthy adult volunteers (Male 25, Female 17) were recruited to perform 7 PLD ASL imaging, including 21 young adults (15 males and 6 females, aged 23—35 years) and 21 seniors (10 males and 11 females, aged 36—74 years). The data was processed offline by Cereflow software to obtain arterial arrival time (ATT) and corrected cerebral blood flow (CBF) and cerebral blood volume (CBV) perfusion parameters. SimpleITK standardization function was used to standardize the calculated perfusion image according to the anatomical automatic labeling (AAL) template. Therefore, CBF, ATT, CBV perfusion values of brain subregions were obtained. Paired samples t test, Wilcoxon rank sum test, independent samples t test and Mann-Whitney U test were used to compare the differences of perfusion parameters in the cerebral hemisphere, the cerebellar hemisphere, brain subregions depending on side, gender and age. Pearson correlation analysis was used to compare the correlations of perfusion parameters with age. Results:CBF in 62.5% (35/56) subregions and CBV in 44.6% (25/56) subregions were higher in right side than those in left side. ATT in most brain anatomical subregions (16/56) were higher in left side. The CBF [(35.30±8.31) vs. (34.34±7.53) ml·100g -1·min -1, P=0.021], CBV [(0.47±0.11) vs. (0.45±0.09) ml/100g, P<0.001], ATT [(1.30±0.10) vs. (1.24±0.11) s, P<0.001] in left cerebellar hemisphere were higher than that of right side. The CBF (28/56) of cerebral hemisphere, cerebellar hemisphere and brain subregions was higher in females than that in males, while ATT in 83.9% (47/56) subregions was lower than that in males (all P<0.05). CBV in female subjects was higher only in 5 brain regions (superior occipital gyrus, middle occipital gyrus, inferior occipital gyrus, superior parietal gyrus and cerebelum_7b) (all P<0.05). In young subjects, CBF in 44.6% (25/56) subregions and CBV in 33.9% (19/56) subregions were higher than those in the senior group (all P<0.05). The ATT in most subregions in young group were lower than those in senior group, but the difference was statistically significant only in rectus gyrus ( P=0.026) and paracentral lobule ( P=0.006). The CBF ( r=-0.430, P=0.005) and CBV ( r=-0.327, P=0.035) of cerebral hemisphere were negatively correlated with age. The CBF (24/25, r range:-0.497 —-0.343, all P<0.05) and CBV (16/19, r range:-0.474 —-0.322, all P<0.05) in most subregions were negatively correlated with age, while ATT was positively correlated (gyrus rectus: r=0.311, P=0.045; paracentral lobule: r=0.392, P=0.010). Conclusions:Multi-PLD ASL imaging could be applied for quantitative analysis of brain perfusion. The perfusion parameters of anatomical subregions are different depending on side, gender, and age.

The economic evaluation compares the costs and effectiveness of different strategies for osteoporosis prevention and treatment to facilitate decision-making. In this paper, international and Chinese economic evaluation studies on osteoporosis prevention strategies were reviewed and results were summarized. We have found that the research design and quality of reporting need to be improved. Furthermore, both general and osteoporosis-specific health economic evaluation guidelines were introduced to improve the quality of economic evaluation in osteoporosis in China. Accuracy and integrity of data used in economic evaluation also should be improved.

Although a key tenant of the Sustainable Development Goals is to achieve universal health coverage,the global drug gap persists—over a third of the global population lack access to essential medicines.Without access to affordable drugs,people have worse health outcomes,higher medical expenses,and productivity loss,pushing them into poverty.Health technology assessments (HTAs) offer an opportunity to decrease the global drug gap and increase access to essential medicines by overcoming barriers to medicine access.These barriers include drug procurement,drug affordability for payers and patients,a patient's ability to obtain essential medicines,and health system capacity.Using HTAs can therefore close the global drug gap by increasing access to affordable essential medicines.In turn,people have better health outcomes,spend less money on medical care,and can have better productivity.Ultimately,use of HTAs can lift the population out of poverty and force fewer people into poverty by creating better health outcomes at affordable prices.

Since the outbreak of coronavirus disease 2019 (COVID-19) , in order to relieve the pressure of outpatient services, especially fever clinic service in hospital, and to avoid the cross-infection among patients, the general practice team of Sir Run Run Shaw Hospital has opened free online counseling service. This article introduces the workflow and related contents of the online counseling mode of general practice under the COVID-19 epidemic situation, so as to provide reference for medical institutions to implement "internet+general practice" mode of counseling service.

Objective:To investigate the application value of magnetic resonance (MR) diffusion tensor imaging (DTI) automatic fiber quantification (AFQ) in the diagnosis and prediction of Alzheimer's disease (AD).Methods:Clinical and MR data of 21 patients with AD (AD group) and 33 normal controls (NC group) were collected.AFQ software was used to analyze DTI data, track 20 white matter fiber bundles in the brain, and compare the differences of fractional anisotropy (FA) and mean diffusivity (MD) value of each bundle between groups.Each fiber bundle was divided into 100 equal parts along the direction of travel, and the FA or MD value of each part was taken as a characteristic.Screening the characteristics with statistic differences between groups for classification of AD and NC by support vector machine (SVM) with leave one method for cross validation.Classification effectiveness was evaluated using the receiver operating characteristic (ROC) curve.Results:Eleven (left/right anterior thalamic radiation (ATR), left/right corticospinal tract (CST), genu of corpus callosum (CC Genu), right inferior longitudinal fasciculus (ILF), right superior longitudinal fasciculus (SLF), left/right uncinated fasciculus (UF), and left/right arcuate fasciculus (AF)) of the 20 fiber bundles were successfully tracked in all subjects.Compared with NC group, the FA values of 2 fiber bundles (left/right UF) in AD group were significantly decreased( t=-2.532, -2.391, both P<0.05), and the MD values of 7 fiber bundles (left ATR, left/right CST, right ILF, left/right UF, and left AF) were significantly increased ( t=2.569, 2.411, 2.108, 2.357, 3.773, 3.796, 3.492, all P<0.05). Among the 2 200 characteristics of 11 fiber bundles, 412 classification characteristics with inter-group differences were selected.Among which, 78 FA characteristics were distributed in 7 fiber bundles (left ATR, left/right CST, CC Genu, right ILF, left/right UF), and 334 MD characteristics were distributed in 9 fiber tracts (left/right ATR, left/right CST, CC Genu, right ILF, left/right UF, and left AF). The accuracy of SVM classification was 85.19%, sensitivity was 80.95%, specificity was 87.88%, and area under ROC curve was 0.894 7. Conclusion:AFQ analysis based on DTI has a high application value in the diagnosis and prediction of AD.

Unreasonable growth of total health expenditure at various extent has been found to be prevalent among many countries for a long time. Thus how to deal with this global public health challenge has become a hot topic among the consumers, providers, and payers alike. Echoing the global trend of value-based healthcare, value-based management of total health expenditure could be a direction of cost containment in the future. Through promoting the rational development of healthcare industry, assisting the decision-making of health insurance authority, improving health authority′s supervision of health technology allocation and utilization, maximizing resource utilization efficiency at hospitals, standardizing physician practices, guiding patients′ medication preferences and behaviors, health technology assessment could mobilize stakeholders′ participation in the value-based management of total health expenditure and serve as an important decision-making tool to optimize the allocation and utilization of scarce health resources, reducing and avoiding waste in healthcare sector, and promoting high-value and sustainable development of total health expenditure.