Objective To explore the curative effect of quetiapine combined with paroxetine in the treatment of bipolar depression,and to provide reference for the choice of clinical treatment.Methods According to the digital table,96 patients with bipolar disorder were randomly divided into observation group and control group,48 cases in each group.The control group was treated with quetiapine orally,the observation group was treated with quetiapine combined with paroxetine.After 6 weeks of treatment,the clinical curative effect,the Montgomery Asberg Depression Rating Scale and the Beck pull fan Sen Mania Rating table score before and after treatment were compared between the two groups.At the same time,the adverse reactions of the two groups were compared.Results After 6 weeks of treatment,the total effective rate of the observation group was 70.83％,which was significantly higher than 50.00％ in the control group,the difference was statistically significant(x2 =4.356,P =0.037).After 6 weeks of treatment,the Montgomery Asberg Depression Rating quantity score in the observation group was (14.01 ± 2.95) points,which was significantly lower than (18.07 ± 3.05)points in the control group,the difference was statistically significant (t =5.527,P =0.036).The Baker-pull fan Sen Mania Rating score before and after treatment between the two groups had no statistically significant differences.There were no serious adverse reactions in the two groups.Conclusion Quetiapine combined with paroxetine can effectively inhibit bipolar depressive episodes,avoid manic episodes,has good clinical efficacy and high safety,it is worthy of popularization and application.

Objective To study effects of shuganjieyu capsule of plasma glucose and lipid metabolism and sleep and body weight in patients with depression.Methods 90 patients of depression who received therapy from July 2013 to July 2016 in our hospital were selected.According to random number table, those patients were divided into the observation group ( n =45 ) and the control group ( n =45 ) .The control group was treated with citalopram, while the observation group was treated with shuganjieyu capsule, then glucose and lipid metabolism, sleep, weight and clinical curative effect were compared.Results After treatment, the fasting blood glucose (FBG), postprandial 2h blood glucose (2 hPG), triacylglycerol (TG), total cholesterol (TC) in the observation group were lower than the control group(all P<0.05), the sleep state self rating scale (SRSS) and the Pittsburgh sleep quality index ( PSQI) in the observation group were lower than the control group ( all P <0.05 ) .The body weight and body mass index in the observation group were lower than the control group (all P<0.05).The total effective rate in the observation group 95.56% (43/45)was higher than the control group 77.78% (35/45) (P<0.05); the incidence of adverse reactions in observation group 20.00% (9/45) was lower the control group 46.67% (21/45) ( P <0.05).Conclusion Shuganjieyu capsule is well for depression, which can conducive to maintaining glucose and lipid metabolism, weight stability, and improve sleep quality and clinical symptoms, and high security,it's worthy of application and promotion.

Alzheimer′s disease is a progressive neurodegenerative disease that requires medication to improve patient symptoms, but there is an individual difference in the efficacy. In this paper, the correlation between single nucleotide polymorphism and the drug efficacy of Alzheimer′s disease (AD) in the past 20 years was searched through the databases of China National Knowledge Infrastructure, VIP Database, Wanfang Database, Pubmed, Springer Link and Cochrane Library with key words of Alzheimer′s disease, drug efficacy, single nucleotide polymorphism. The correlation between AD drug efficacy difference and gene single nucleotide polymorphism was reviewed, including ABCA1, ApoE, ChAT, CHRNA7, IL-6, A2M, CYP2D6, BChE, 5HT2a, PON-1 and ESR1 genes, so as to provide a reference basis for clinicians to select drugs in the treatment of AD.

Objective:To propose a machine learning-based markerless beam′s eye view (BEV) tumor tracking algorithm that can be applied to low-quality megavolt (MV) images with multileaf collimator (MLC)-induced occlusion and non-rigid deformation.Methods:This study processed the registration of MV images using the window template matching method and end-to-end unsupervised network Voxelmorph and verified the accuracy of the tumor tracking algorithm using dynamic chest models. Phantom QA plans were executed after the treatment offset was manually set on the accelerator, and 682 electronic portal imaging device (EPID) images obtained during the treatment were collected as fixed images. Moreover, the digitally reconstructed radiography (DRR) images corresponding to the portal angles in the planning system were collected as floating images for the study of target volume tracking. In addition, 533 pairs of EPID and DRR images of 21 lung tumor patients treated with radiotherapy were collected to conduct the study of tumor tracking and provide quantitative result of changes in tumor locations during the treatment. Image similarity was used for third-party validation of the algorithm.Results:The algorithm could process images with different degrees (10%-80%) of data missing and performed well in non-rigid registration of images with data missing. As shown by the phantom verification, 86.8% and 80% of the tracking errors were less than 3 mm and less than 2 mm, respectively, and the normalized mutual information (NMI) varied from 1.18 ± 0.02 to 1.20 ± 0.02 after registration ( t = -6.78, P = 0.001). The tumor motion of the clinical cases was dominated by translation, with an average displacement of 3.78 mm and a maximum displacement of 7.46 mm. The registration result of the cases showed the presence of non-rigid deformations, and the corresponding NMI varied from 1.21 ± 0.03 before registration to 1.22 ± 0.03 after registration ( t = -2.91, P = 0.001). Conclusions:The tumor tracking algorithm proposed in this study has reliable tracking accuracy and high robustness and can be used for non-invasive and real-time tumor tracking requiring no additional equipment and radiation dose.

Objective:To evaluate the feasibility of predicting lung cancer target position by online optical surface motion monitoring.Methods:CT images obtained in different ways of stereotactic body radiotherapy (SBRT) plans from 16 lung cancer cases were selected for experimental simulation. The planned CT and the original target position were taken as the reference, and the 10 phases of CT in four dimension CT and each cone beam (CBCT) were taken as the floating objects, on which the floating target location was delineated. The binocular visual surface imaging method was used to obtain point cloud data of reference and floating image body surface, while the point cloud feature information was extracted for comparison. Based on the random forest algorithm, the feature information difference and the corresponding target area position difference were fitted, and an online prediction model of the target area position was constructed.Results:The model had a high prediction success rate for the target position. The variance explainded and root mean squared error ( RMSE) of left-right, superior-inferior, anterior-posterior directions were 99.76%, 99.25%, 99.58%, and 0.0447 mm, 0.0837 mm, 0.0616 mm, respectively. Conclusion:The online monitoring of lung SBRT target position proposed in this study is feasible, which can provide reference for online monitoring and verification of target position and dose evaluation in clinical radiotherapy.

Objective:To propose a markerless beam's eye view (BEV) tumor tracking algorithm, which can be applied to megavolt (MV) images with poor image quality, multi-leaf collimator (MLC) occlusion and non-rigid deformation.Methods:Window template matching, image structure transformation and demons non-rigid registration method were used to solve the registration problem in MV images. The quality assurance (QA) plan was generated in the phantom and executed after manually setting the treatment offset on the accelerator, and 682 electronic portal imaging device (EPID) images in the treatment process were collected as fixed images. Meanwhile, the digitally reconstructured radiograph (DRR) images corresponding to the field angle in the planning system were collected as floating images to verify the accuracy of the algorithm. In addition, a total of 533 images were collected from 21 cases of lung tumor treatment data for tumor tracking study, providing quantitative results of tumor location changes during treatment. Image similarity was used for third-party verification of tracking results.Results:The algorithm could cope with different degrees (10%-80%) of image missing. In the phantom verification, 86.8% of the tracking errors were less than 3 mm, and 80% were less than 2 mm. Normalized mutual information (NMI) varied from 1.182±0.026 to 1.202±0.027 ( P<0.005) before and after registration and the change of Hausdorff distance (HD) was from 57.767±6.474 to 56.664±6.733 ( P<0.005). The case results were predominantly translational (-6.0 mm to 6.2 mm), but non-rigid deformation still existed. NMI varied from 1.216±0.031 to 1.225±0.031 ( P<0.005) before and after registration and the change of HD was from 46.384±7.698 to 45.691±8.089 ( P<0.005). Conclusions:The proposed algorithm can cope with different degrees of image missing and performs well in non-rigid registration with data missing images which can be applied in different radiotherapy technologies. It provides a reference idea for processing MV images with multi-modality, partial data and poor image quality.

Objective To develop a risk prediction model for postoperative malnutrition in children with congenital heart disease(CHD)and to verify it both internally and externally.Methods By a convenience sampling method,300 CHD children treated at a tertiary hospital in Shandong Province from January 2018 to December 2021 were selected as a modeling group,and 129 children from January 2022 to June 2023 were selected as a validation group.Data on patient demographics,disease-specific variables,therapeutic interventions,and nursing care parameters were collected.Single factor and logistic regression were employed to construct a risk prediction model for postoperative malnutrition in CHD children,and the nomogram was drawn and its prediction effect was evaluated.Results The incidence of postoperative malnutrition among CHD children was 33.10％.Logistic regression analysis revealed that risk factors for malnutrition in children included birth weight＜2.5 kg,preoperative malnutrition,negative fluid balance 1 week after surgery,and long duration of cardiopulmonary bypass(P＜0.05).The area under the receiver operating characteristic curve of the modeling group was 0.933;the sensitivity was 83.30％;the specificity was 90.90％.The Hosmer-Lemeshow test showed that x2=7.765(P=0.457).The AUC of the validation group was 0.918;the sensitivity was 87.20％;the specificity was 90.00％.The Hosmer-Lemeshow test showed that x2=4.947(P=0.763).Calibration curves for both groups indicated good calibration of the model,and the clinical decision curves demonstrated its practical clinical utility.Conclusion The risk prediction model developed in this study exhibits good predictive ability,which can provide a reference for medical staff to early identify high-risk infants for postoperative malnutrition following CHD surgery and to formulate targeted intervention measures.

Objective To explore the current status of traditional Chinese medicine(TCM)research on alopecia areata(AA)and arogenetic alopecia(AGA),analyzing the clinical syndrome and treatment characteristics,and providing reference for TCM clinical diagnosis and treatment.Methods Search for research literature on traditional Chinese medicine treatment of hair loss in CNKI,Wanfang,and VIP separately.Removing duplicates through Notexpress and using CiteSpace and VOSviewer software for bibliometric analysis.Furthermore,focusing on the RCT research of traditional Chinese medicine internal treatment for AA and AGA,the data mining methods were used to analyze the pathogenesis,treatment methods,and prescriptions of traditional Chinese medicine.Results There are a total of 2954 literature on the treatment of hair loss by traditional Chinese medicine,with clinical research being the main research type.Among them,the main pathogenesis of AA is liver and kidney deficiency,qi and blood deficiency,etc.Commonly used herbs includes Polygonum multiflorum,Rehmannia glutinosa,Chuanxiong,Poria cocos,and Ligustrum lucidum,while the pathogenesis of AGA is mainly dampness heat accumulation,yin deficiency dampness heat,etc.,with commonly used herbs such as Platycladus orientalis,Alisma orientalis,Poria cocos,hawthorn,and Coix seed.Meanwhile,AA and AGA both pay more attention to the use of tonifying drugs in their treatment.Conclusion There is a growing trend in literature on the treatment of hair loss with TCM,and there are differences in the pathogenesis and treatment methods between AA and AGA in traditional Chinese medicine.It is worth further reference in the prescription and medication of clinical treatment of hair loss.

The correspondence between the five zang organs and the five phases exhibited variations in the previous and the current literature， which is related to the understanding and interpretation of the historical construction of the basic theories of traditional Chinese medicine， and is an important issue that has been debated for a long time in the history of academia but has not been resolved. Through combing and analyzing the relevant literature handed down during the pre-Qin and Han dynasties， which includes Master LYU's Spring and Autumn Annals （《吕氏春秋》）， The Book of Rites： Monthly Ordinances （《月令》）， Huainanzi （《淮南子》）， Records of the Grand Historian： Biography of BIAN Que and CANG Gong （《史记·扁鹊仓公列传》）， The Inner Canon of Yellow Emperor （《黄帝内经》）， as well as excavated literature like the Warring States bamboo slips Tang Zai Chi Men （《汤在啻门》） collected by Tsinghua University， Taichan Shu （《胎产书》） unearthed from the Mawangdui Han Dynasty Tombs， Tianhui Medical Manuscripts （《天回医简》） unearthed from the Han Dynasty Tombs of Lao Guan Mountain， Chengdu， this paper finds that the current five phases are newly proposed by previous medical practitioners on the basis of the objective understanding of the physiology and pathology of the five zang organs， which is a unique contribution of traditional Chinese medicine to the traditional Chinese culture. The lacquered acupuncture figurine unearthed from the Han Dynasty Tombs of Lao Guan Mountain， Tianhui Town， Chengdu， Sichuan Province， is engraved on its back with the inscriptions of "heart， lungs， liver， stomach， and kidneys"， which refer to the back-Shu points of the five zang organs， and the order follows the sequence of “fire - metal - wood - earth - water”， which is the order of the five phases being restricted. It is believed that this is a reflection of the idea of “heart is the head of the five organs” in the early medical scriptures， which can be used as a basis for judging the chronological order of the relevant chapters of the modern version of The Inner Canon of Yellow Emperor. This order is also seen in the Tianhui Medical Manuscripts unearthed from the same tombs as the acupuncture figurine and is preserved in many chapters of the modern version of The Inner Canon of Yellow Emperor.