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.

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.

Aiming at the problem of low recognition accuracy of motor imagery electroencephalogram signal due to individual differences of subjects, an individual adaptive feature representation method of motor imagery electroencephalogram signal is proposed in this paper. Firstly, based on the individual differences and signal characteristics in different frequency bands, an adaptive channel selection method based on expansive relevant features with label F (ReliefF) was proposed. By extracting five time-frequency domain observation features of each frequency band signal, ReliefF algorithm was employed to evaluate the effectiveness of the frequency band signal in each channel, and then the corresponding signal channel was selected for each frequency band. Secondly, a feature representation method of common space pattern (CSP) based on fast correlation-based filter (FCBF) was proposed (CSP-FCBF). The features of electroencephalogram signal were extracted by CSP, and the best feature sets were obtained by using FCBF to optimize the features, so as to realize the effective state representation of motor imagery electroencephalogram signal. Finally, support vector machine (SVM) was adopted as a classifier to realize identification. Experimental results show that the proposed method in this research can effectively represent the states of motor imagery electroencephalogram signal, with an average identification accuracy of (83.0±5.5)% for four types of states, which is 6.6% higher than the traditional CSP feature representation method. The research results obtained in the feature representation of motor imagery electroencephalogram signal lay the foundation for the realization of adaptive electroencephalogram signal decoding and its application.
Humans ; Imagination ; Signal Processing, Computer-Assisted ; Brain-Computer Interfaces ; Electroencephalography/methods* ; Imagery, Psychotherapy ; Algorithms

In the context of the "Belt and Road" initiative, We systematically analyzed the general education and training systems of 16 Western Pacific countries and regions, including general practitioner college education, post-graduation education, and faculty status. Developed countries and regions have a long-term medical education system, strong faculty, and a comprehensive training model for general practitioners. Underdeveloped countries and regions are relatively weak in educational institutions, faculty, and general practitioner training models. The underdeveloped countries and regions should develop a general medical education and training system in terms of strengthening the construction of general medical disciplines, strengthening the supervision and certification of general practitioners, improving the general medical training model, and strengthening the construction of teachers.

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.

Cardiopulmonary resuscitation (CPR) training plays an important role in improving the survival rate of patients with out-of-hospital cardiac arrest, and attention should be paid to the knowledge education and skill training of CPR for the public. This article reviews the current situation of CPR training at home and abroad, and puts forward suggestions for CPR training in China, particularly emphasizes that CPR training should be included in the compulsory education and that general practitioners should play a leading role in public CPR training.

Dietary nitrate which mainly comes from green leafy vegetables, is absorbed into blood circulation by the intestinal mucosa. Parotid gland is an important organ for transporting nitrate. Nitrate in blood is taken up by sialin, a nitrate transporter and concentrated in salivary glands and secreted into saliva. The salivary nitrate is partially reduced to nitrite and nitric oxide by oral bacteria, and then salivary nitrate and nitrite return into blood circulation with swallowing and intestinal mucosal absorption. As a non-classic source of nitric oxide, nitrate-nitrite-nitric oxide pathway plays an important role on physiological and pathological conditions, especially on the condition of hypoxia and ischemia. These functions include body protection, such as gastrointestinal tract, cardiovascular system, anti-inflammation, regulation of glucose/lipid metabolism, improvement of sport ability, maintaining gut microbiome hemostasis, and alleviating senility. The traditional view on nitrate as a harmful substance to human body has been proved to be lack of scientific evidence. With further research and application, as a pioneer from the mouth to the whole body, nitrate is expected to play a crucial part in human health, and prevention and treatment of systemic diseases.

Sialorrhea is a group of symptoms characterized by excessive accumulation of saliva in the mouth and unconscious overflow from the mouth. It can be divided into physiological sialorrhea and pathological sialorrhea. The etiology of sialorrhea is complex. Local oral factors, systemic diseases, drug induction or psycho-physiological factors can lead to excessive saliva secretion or excessive saliva storage in the mouth, which can lead to sialorrhea. Physiological sialorrhea generally does not require treatment, while different treatment strategies are needed in cases of pathological sialorrhea. There are many treatments for sialorrhea, including oral and maxillofacial system training, drugs, botulinum toxin injection, surgical treatment, and less commonly, traditional Chinese medicines, radiotherapy and neuromuscular electrical stimulation therapy. For different patients, different treatment methods should be adopted, and the treatment should be gradual. To correct the abnormalities in the oral and maxillofacial regions, the primary disease should be treated, contact with/the use of substances inducing salivation should be stopped, or psychological treatment should be administered, combined with oral and maxillofacial system training; if the effect is not good, invasive treatment, such as surgery, should be considered. At present, there are no unified, clear diagnostic criteria or simple and effective treatments in the clinic. In this paper, the etiology, diagnosis and treatment of sialorrhea, combined with our group′s many years of experience in the diagnosis and treatment of sialorrhea, are reviewed to provide a useful reference for the clinical diagnosis and treatment of sialorrhea.

Objective To evaluate the effects of nasolabial flap with facial artery and its branches perforator for reconstruction of nasal defect.Methods Between March 2013 and April 2017,21 patients underwent operations for the reconstruction of nasal defect,caused by trauma,surface tumors,moles and infection.The size of the defect was 1.5 cm × 2.0 cm to 3.0 cm × 3.0 cm.Designed various nasolabial perforator flap was pedicled with the facial artery.The pulsed blood flow detector determined the location of the facial artery and its perforation position,which was the rotation point,and the rotation of the nasolabial fold flap covered the nasal defect area to repair.Results 21 flaps survived.Surface artery perforation nasolabial fold flap was good blood supply,of which 1 case of flap was congested and recovered after treatment.After 1 month to 3 years follow-up on 21 cases,20 cases showed good results and 1 case had generally accepted.The color,shape and function of the flap were significant,similar to the normal skin.Conclusions A small area defect in the nose is preferred by using facial arterial perforation nasolabial fold flap repair,which does not need secondary repair,and is worthy of clinical application.