Objective: To systematically evaluate the influencing factors for repeated implantation failure (RIF) after in vitro fertilization-embryo transfer (IVF-ET) in China, so as to provide the evidence for prevention of RIF. Methods: Literature on influencing factors for RIF in China were retrieved from CNKI, Wanfang Data, VIP, China Medical Literature Service System, PubMed, Web of Science, Cochrane Library and Embase from inception to September, 2024. A meta-analysis was performed using RevMan 5.3 and Stata 14.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was evaluated using Egger's test. Results: Initially 4 836 relevant articles were retrieved, and 12 of them were finally included, with a total sample size of 11 554 individuals. There were 10 case-control studies, 1 cohort study, and 1 cross-sectional study; and 10 high-quality studies and 2 medium-quality studies. The meta-analysis showed that factors including advanced age (OR=1.121, 95%CI: 1.035-1.215), prolonged infertility duration (OR=1.237, 95%CI: 1.091-1.403), abnormal hysteroscopy findings (OR=2.205, 95%CI: 1.119-4.348), positive anti-nuclear antibody (ANA) (OR=2.393, 95%CI: 1.473-3.886), and positive anti-beta2 glycoprotein Ⅰ antibody (β2-GPⅠ-Ab) (OR=2.824, 95%CI: 1.987-4.013) were associated with an increased risk of RIF; while factors including the large number of embryos transferred (OR=0.309, 95%CI: 0.098-0.973), thicker endometrium (OR=0.601, 95%CI: 0.556-0.650), and higher granulocyte colony-stimulating factor (G-CSF) levels (OR=0.657, 95%CI: 0.511-0.845) were associated with a reduced risk of RIF. Conclusion IVF-ET RIF is associated with age, infertility duration, number of embryos transferred, endometrial thickness, hysteroscopy findings, G-CSF levels, ANA and β2-GPⅠ-Ab.

OBJECTIVE: To analyze the time characteristics of the Ethos online adaptive radiotherapy (OART) process in clinical practice and provide guidance for the comprehensive optimization of each stage of adaptive radiotherapy. METHODS: The study involved 61 patients with cervical, rectal, gastric, lung, esophageal, and breast cancers who underwent Ethos OART. The mean ± standard deviation of segmental time, total time, and target volume for these patients were tracked. The time characteristics for different cancer types were evaluated, and the average time for target and organ at risk (OAR) modifications was compared with the average target volume for each cancer type. RESULTS: Cervical cancer born the longest total treatment time, while breast cancer had the shortest. For all cancer types except breast cancer, the modification time for target and OAR was the most time-consuming segment. The average time for target and OAR modifications aligned with the trend of the average target volume. CONCLUSION The total treatment time for various cancers ranges from 15 to 35 minutes, indicating room for improvement.
Humans ; Radiotherapy Planning, Computer-Assisted/methods* ; Neoplasms/radiotherapy* ; Female

Osteoarthritis （OA）， rheumatoid arthritis （RA）， gouty arthritis （GA）， and intervertebral disc degeneration （IVDD） are the most common bone and joint-related diseases in clinical practice. They can all affect related joints， leading to joint pain， swelling， dysfunction， and other symptoms. The difference is that OA is mainly caused by joint wear and age-related degradation and is manifested as joint pain， stiffness， and limited movement. RA is an autoimmune disease， manifested as joint pain， swelling， morning stiffness， and systemic symptoms. GA is caused by abnormal uric acid metabolism， manifested as acute arthritis， and IVDD is caused by intervertebral disc degeneration. Studies have shown that the mechanism of the occurrence and development of these bone and joint diseases is extremely complex. Pyroptosis is closely related to these bone and joint-related diseases by participating in bone and joint inflammation， cartilage metabolism imbalance， extracellular matrix degradation， and pathological damage of bone and joint. Inhibition of bone and joint-related pyroptosis will effectively prevent and treat bone and joint-related diseases. At the same time， many studies have confirmed that traditional Chinese medicine （TCM） has a prominent curative effect and obvious advantages in the prevention and treatment of bone and joint-related diseases. TCM can reduce the inflammatory reaction of bone and joints， improve the pathological damage of bone and joint diseases， and relieve bone and joint pain by inhibiting pyroptosis. Therefore， this article aims to briefly explain the relationship between pyroptosis and the occurrence and development of bone and joint-related diseases and summarize the latest research reports on the intervention of pyroptosis in the treatment of bone and joint-related diseases by TCM monomers， TCM extracts， and TCM compounds. It offers new ideas for the in-depth study of the pathogenesis and drug treatment of bone and joint diseases and provides a basis for the clinical use of TCM to prevent and treat bone and joint diseases.

Objective:To establish a menstrual prediction model after the first course of hormone replacement therapy(HRT)in premature ovarian insufficiency(POI)patients after allogeneic hematopoietic stem cell transplan-tation(allo-HSCT),and to provide certain reference value for formulating HRT plans.Methods:The retrospective analysis recruited 154 POI patients after allo-HSCT in the First Affiliated Hospital of Soochow University from Jan-uary 2017 to October 2022.They were divided into ideal menstruation group(n=116)and unideal menstruation group(n=38)according to menstruation after the first course of HRT.Basic characteristics and clinical data were compared in single-factor analysis to select predictive factors.Patients were randomly divided into training set and test set.The menstrual prediction model was developed based on random forest algorithm on the training set and the prediction efficiency was verified by the test set.Finally,we made a user interaction interface and deployed to the server for sharing.Results:The single-factor analysis suggested statistic difference of age of visit,body mass index(BMI),gravidity,parity,hematologic diseases,transplantation age,donor gender,follicle-stimulating hormone(FSH),Luteinizing Hormone(LH),lumbar bone mineral density(BMD)and HRT plan(P<0.05).According to mean decrease accuracy,the predictive factors included visit age,transplantation age,BMI,FSH,HRT plans,gravidity and parity.After the initial establishment of the random forest model,we improved it by adjusting ntree to 500,mtry to 6 and training/test set division to 80%/20% .We also used tenfold cross validation to reduce over-fitting.The area under curve(AUC)of the final constructed menstrual prediction model was 0.768,a sensitiv-ity of 0.695 and a specificity of 0.735.Conclusions:This study successfully established a menstrual prediction model for amenorrhea patients after allo-HSCT when finished the first course of HRT.The false positive rate was low,suggesting that if the prediction result of the model is non-ideal menstruation,we may consider adjusting HRT plans to promote menstruation in time.

Objective To assess retinal and choroidal blood flow density in the macular regions of children diagnosed with unilateral low myopia using optical coherence tomography angiography(OCTA).This study aimed to investigate the clinical significance of these mea-surements.Methods A cross-sectional study was conducted on 90 eyes of 45 children with monocular myopia and adolescents aged 8 to 14 years who visited the outpatient department of the Ophthalmology of Dalian Third People's Hospital between June 2022 and February 2023.Optometry was performed after a 1%cyclopentolate cycloplegic muscle paralysis.Eyes with spherical equivalent(SE)-3.00 D to-0.50 D were included in the myopia group,whereas those with SE-0.25 D to＜+2.00 D were placed in the non-myopia group.The Master system was used to measure axial length(AL)and corneal curvature radius(CR),and to calculate AL/CR.Heidelberg spectral-domain optical coherence tomography(SD-OCT)was used to perform horizontal linear scanning of the macular area to obtain subfoveal choroidal thickness(SFCT).The OCTA module was used to obtain 3 mm×3 mm choroidal blood flow images,which were imported into ImageJ graphics processing software to obtain the blood flow densities of the superficial choroidal plexus(SCP),deep choroidal plexus(DCP),choroidal capillary(CC),and foveal avascular zone(FAZ).Pearson's correlation was used to examine the correlations between each blood flow parameter and age,AL,CR,AL/CR,and SFCT.Results The SE and SFCT of the myopia group were smaller(P＜0.05)than those of the non-myopia group,whereas the AL and AL/CR were significantly larger(P＜0.05)than those of the non-myopia group.The DCP blood flow density in the myopia group was significantly lower than that in the non-myopia group(P＜0.01).There was no statistically sig-nificant difference between the residual blood flow parameters of the myopia and non-myopia groups(P＞0.05).The Pearson's correlation analysis indicated that the SCP and DCP blood flow densities in the myopia group were positively correlated with SE(r= 0.611,0.731,P＜0.05),negatively correlated with AL(r=-0.568,-0.712,P＜0.05),and negatively correlated with AL/CR(r=-0.557,-0.564,P＜0.05).The SCP and DCP blood flow densities were negatively correlated with AL/CR in the non-myopia group(r=-0.615,-0.656,P＜0.05).The CC density and FAZ area in the two groups did not correlate with age,SE,AL,CR,AL/CR,or SFCT(P＞0.05).Conclusion Com-pared to non-myopic eyes,the eyes of children with mild monocular myopia had lower DCP blood flow density.Moreover,retinal blood flow density in myopic eyes was correlated with SE,AL,and AL/CR,whereas retinal blood flow density in non-myopic eyes was only correlated with AL/CR.

Drugs and physical stimulation,including light,electricity,and magnetic fields,can be used to influence how neurons operate,among which chemogenetic and optogenetic technologies are most widely used.In recent years,magnetogenetic technology has also been developed that can acti-vate neurons in magnetic fields through magnetic sensitive actuators,leading to non-invasive and instanta-neous activation of specific brain regions.This article reviews the evolution of and problems with chemoge-netic and optogenetic techniques commonly used in brain science research.It also outlines the latest progress in magnetogenetic technologies,which are not full-fledged yet,as well as the role of transcra-nial electrical stimulation,transcranial magnetic stimulation,deep brain stimulation and transcranial ultra-sound stimulation technology in the functional regulation of brain diseases.Constant adjustment and improvement can make it possible for these technologies to be used more widely for the study of brain sciences and the treatment of brain diseases.

ObjectiveTo establish a method using ultra-high performance liquid chromatography-tandem mass spectrometry （UHPLC-MS/MS） for the detection of six common trichothecene toxins in oats. MethodsOats were selected as the research subject in this study. Response surface design was used to optimize the QuEChERS extraction method. Additionally， a rapid and efficient strategy for sample extraction and purification was developed. Combined with UHPLC-MS/MS， six commonly co-occurring trichothecene toxins in oats were quantitatively analyzed simultaneously. ResultsThis method demonstrated good analytical performance for each analyte across the corresponding concentration ranges （r>0.99）， with accuracy ranging from 87.26% to 99.64%. The inter-day and intra-day relative standard deviations were less than 6.8% and 5.5%， respectively， indicating its potential for practical application. This method was used to detect mycotoxins in 12 oat samples from China， and it was found that one sample exceeded the standard limits for deoxynivalenol （DON）， and the co-contamination of trichothecene toxin was prevalent. ConclusionThe risk posed by these toxins has been underestimated. Ongoing， extensive monitoring is necessary to provide contamination data to assess the consumer risk.

Objective: To examine the developmental trajectory of fine motor ability in schoolage children with attention deficit hyperactivity disorder (ADHD) for two years, so as to provide scientific evidence to promote motor development in ADHD children. Methods: From April to June 2019, 31 children aged 6-8 years old were selected from a public elementary school. They were diagnosed with ADHD by two psychiatric professionals according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria. Additionally, 31 typical developmental children, matched for age, sex and IQ with the ADHD group, were recruited as the control group. Fine motor ability was assessed with tasks of hand manual dexterity in Movement Assessment Battery for Children-2 (MACB-2), and a followup assessment was conducted from April to June 2021. The development changes of fine motor ability between two groups of children were compared by using t test and repeated measures analysis of variance. Results: Between baseline and followup periods after two years, the total score of hand fine motor in the ADHD group did not show significant improvement (7.4±3.0, 8.0±3.4; t=-1.05, P>0.05), while there was a small effect size improvement in typically developing control group (9.5±2.1, 10.5±2.4; t=-2.12, effect size=0.38, P<0.05). Followup after two years, coin/peg throwing scores with dominant hand improved between ADHD group and control group (7.0±3.3, 9.5±3.2; 8.4±2.8, 11.6±1.6) (t=-3.74, -6.33, P<0.01; effect size=0.67, 1.14), with a smaller improvement in the ADHD group. The score for threading beads/threads decreased in between ADHD group and control group (7.9±2.4, 5.8±3.1; 9.2±1.1, 8.2±1.9) (t=3.89, 2.78, P<0.01; effect size=0.70, 0.50), with a greater decrease in the ADHD group. Conclusions The development speed of fine motor ability in children with ADHD aged 6-8 is slow and continues to lag behind normal developmental children. Fine motor development in children with ADHD should be closely monitored, and targeted interventions should be implemented when necessary.

Objective:To establish a menstrual prediction model after the first course of hormone replacement therapy(HRT)in premature ovarian insufficiency(POI)patients after allogeneic hematopoietic stem cell transplan-tation(allo-HSCT),and to provide certain reference value for formulating HRT plans.Methods:The retrospective analysis recruited 154 POI patients after allo-HSCT in the First Affiliated Hospital of Soochow University from Jan-uary 2017 to October 2022.They were divided into ideal menstruation group(n=116)and unideal menstruation group(n=38)according to menstruation after the first course of HRT.Basic characteristics and clinical data were compared in single-factor analysis to select predictive factors.Patients were randomly divided into training set and test set.The menstrual prediction model was developed based on random forest algorithm on the training set and the prediction efficiency was verified by the test set.Finally,we made a user interaction interface and deployed to the server for sharing.Results:The single-factor analysis suggested statistic difference of age of visit,body mass index(BMI),gravidity,parity,hematologic diseases,transplantation age,donor gender,follicle-stimulating hormone(FSH),Luteinizing Hormone(LH),lumbar bone mineral density(BMD)and HRT plan(P<0.05).According to mean decrease accuracy,the predictive factors included visit age,transplantation age,BMI,FSH,HRT plans,gravidity and parity.After the initial establishment of the random forest model,we improved it by adjusting ntree to 500,mtry to 6 and training/test set division to 80%/20% .We also used tenfold cross validation to reduce over-fitting.The area under curve(AUC)of the final constructed menstrual prediction model was 0.768,a sensitiv-ity of 0.695 and a specificity of 0.735.Conclusions:This study successfully established a menstrual prediction model for amenorrhea patients after allo-HSCT when finished the first course of HRT.The false positive rate was low,suggesting that if the prediction result of the model is non-ideal menstruation,we may consider adjusting HRT plans to promote menstruation in time.

Objective:To establish a menstrual prediction model after the first course of hormone replacement therapy(HRT)in premature ovarian insufficiency(POI)patients after allogeneic hematopoietic stem cell transplan-tation(allo-HSCT),and to provide certain reference value for formulating HRT plans.Methods:The retrospective analysis recruited 154 POI patients after allo-HSCT in the First Affiliated Hospital of Soochow University from Jan-uary 2017 to October 2022.They were divided into ideal menstruation group(n=116)and unideal menstruation group(n=38)according to menstruation after the first course of HRT.Basic characteristics and clinical data were compared in single-factor analysis to select predictive factors.Patients were randomly divided into training set and test set.The menstrual prediction model was developed based on random forest algorithm on the training set and the prediction efficiency was verified by the test set.Finally,we made a user interaction interface and deployed to the server for sharing.Results:The single-factor analysis suggested statistic difference of age of visit,body mass index(BMI),gravidity,parity,hematologic diseases,transplantation age,donor gender,follicle-stimulating hormone(FSH),Luteinizing Hormone(LH),lumbar bone mineral density(BMD)and HRT plan(P<0.05).According to mean decrease accuracy,the predictive factors included visit age,transplantation age,BMI,FSH,HRT plans,gravidity and parity.After the initial establishment of the random forest model,we improved it by adjusting ntree to 500,mtry to 6 and training/test set division to 80%/20% .We also used tenfold cross validation to reduce over-fitting.The area under curve(AUC)of the final constructed menstrual prediction model was 0.768,a sensitiv-ity of 0.695 and a specificity of 0.735.Conclusions:This study successfully established a menstrual prediction model for amenorrhea patients after allo-HSCT when finished the first course of HRT.The false positive rate was low,suggesting that if the prediction result of the model is non-ideal menstruation,we may consider adjusting HRT plans to promote menstruation in time.