Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.

Objective:To compare clinical characteristics,treatment patterns and physiological indicators in bipolar disorder(BD)patients with different age of onset.Methods:Totally 380 patients with DSM-5 BD were se-lected in this study.Psychiatrists diagnosed the patients using the Mini International Neuropsychiatric Interview.The clinical information questionnaire and the Global Assessment of Functioning scale were utilized to collected clinical characteristics,treatment status,and physiological indicators.The onset age of BD was divided into 21 and 35 years as cut-off points.Multivariate logistic regression and linear regression were used to analyze related factors.Results:Among the 380 patients with BD,199 cases were early-onset group(52.4％),121 cases were middle-onset group(31.8％),and 60 cases were late-onset group(15.8％).There were 26.6％of patients in the early-onset group in-itially diagnosed as depression,23.1％in the middle-onset group,and 11.7％in the late-onset group.Multivariate analysis revealed that compared to the early-onset group of BD,the middle-onset(OR=2.22)and late-onset(OR=4.99)groups had more risk to experience depressive episodes,and the late-onset group(OR=6.74)had 6.74 times of risk to suffer from bipolar Ⅱ disorder.Additionally,patients in the middle-onset(β=-1.52)and late-on-set(β=-4.29)groups had shorter durations of delayed treatment,and those in the middle-onset(β=-1.62)and late-onset(β=-3.14)groups had fewer hospitalizations.Uric acid levels were lower in both the middle-onset(β=-28.39)and late-onset(β=-31.47)groups,and total cholesterol level was lower in the middle-onset group(β=-0.23).Conclusion:Patients with BD in different age of onset show significant differences in clinical charac-teristics,treatment conditions and physiological indicators.

ObjectiveTo introduce the basic design， development plan and objectives of a population-based birth cohort in Shanghai， and further present the main data and baseline characteristics of enrolled participants in the cohort， and to provide key information for reproductive health-related studies. MethodsThe Shanghai population-based birth cohort initiated on January 1， 2005， included newborns born in Shanghai every year and their parents， and collected information on reproductive health， reproductive treatment， birth characteristics， growth and development status， as well as the incidence， treatment and death of diseases by employing data linkage technology and investigations. This formed a birth cohort spanning the entire life cycle. ResultsAs of October 2022， a total of 2 978 538 newborns and their parents were included in the cohort. Among them， 2 905 135 （97.54%） were naturally conceived （NC）， and 73 403 （2.46%） were born through assisted reproductive technologies （ART）. The average age of parents was （32.56±4.12） years old for females and （34.62±5.34） years old for males in the ART group， which was higher than （28.02±4.71） years and （30.07±5.54） years for parents in the NC group. Among parents， females and males aged 30 and above accounted for 77.12% and 85.08%， respectively， which were higher than that of parents （35.28% for females and 49.66% for males） in the NC group. Furthermore， the percentage of parents with a college degree or above in the ART group was 73.23% for females and 73.66% for males， which were higher than those in the NC group （49.98% and 50.91%， respectively）. The multiple births rate in the ART group was 33.81%， which was higher than that in the NC group （1.88%）. The incidence of premature birth and low birth weight in the ART group were 24.47% and 19.08%， respectively， which was higher than that in the NC group （5.47% and 3.73%）. ConclusionThe comprehensive collection of reproductive health-related information in the birth cohort in Shanghai can provide essential resources to determine the influence of genetics， environment， reproductive treatment and other related factors on the health of offspring after birth.

Background and aim:Hepatic ischemia-reperfusion injury(IRI)is a significant challenge in liver trans-plantation,trauma,hypovolemic shock,and hepatectomy,with limited effective interventions available.This study aimed to investigate the role of leukocyte cell-derived chemotaxin 2(LECT2)in hepatic IRI and assess the therapeutic potential of Lect2-short hairpin RNA(shRNA)delivered through adeno-associated virus(AAV)vectors. Materials and methods:This study analyzed human liver and serum samples from five patients under-going the Pringle maneuver.Lect2-knockout and C57BL/6J mice were used.Hepatic IRI was induced by clamping the hepatic pedicle.Treatments included recombinant human LECT2(rLECT2)and AAV-Lect2-shRNA.LECT2 expression levels and serum biomarkers including alanine aminotransferase(ALT),aspartate aminotransferase(AST),creatinine,and blood urea nitrogen(BUN)were measured.Histological analysis of liver necrosis and quantitative reverse-transcription polymerase chain reaction were performed. Results:Serum and liver LECT2 levels were elevated during hepatic IRI.Serum LECT2 protein and mRNA levels increased post reperfusion.Lect2-knockout mice had reduced weight loss;hepatic necrosis;and serum ALT,AST,creatinine,and BUN levels.rLECT2 treatment exacerbated weight loss,hepatic necrosis,and serum biomarkers(ALT,AST,creatinine,and BUN).AAV-Lect2-shRNA treatment significantly reduced weight loss,hepatic necrosis,and serum biomarkers(ALT,AST,creatinine,and BUN),indicating thera-peutic potential. Conclusions:Elevated LECT2 levels during hepatic IRI increased liver damage.Genetic knockout or shRNA-mediated knockdown of Lect2 reduced liver damage,indicating its therapeutic potential.AAV-mediated Lect2-shRNA delivery mitigated hepatic IRI,offering a potential new treatment strategy to enhance clinical outcomes for patients undergoing liver-related surgeries or trauma.

The lingnan liver-soothing and spirit-regulating acupuncture and moxibustion technique,developed by Professor FU Wen-Bin,a renowned traditional Chinese medicine expert in Guangdong Province,represents an innovative achievement in acupuncture therapy for depression-related disorders.Drawing upon the rich legacy of master scholars,meticulous study of medical literature,and over three decades of continuous research and innovation,Professor FU has formulated this technique with profound influence and widespread application.By tracing the developmental trajectory of the Lingnan liver-soothing and spirit-regulating technique,this paper sheds light on its significant guiding principles and reference value for the development of other distinctive acupuncture techniques.Furthermore,it offers insights and inspiration for advancement in various fields of traditional Chinese medicine.

Objective To investigate the differentially expressed genes(DEGs)and their molecular interactions in unstable carotid atherosclerotic plaques.Methods Gene expression datasets related to carotid atherosclerotic plaques(GSE41571,GSE118481,and E-MTAB-2055)were downloaded from Gene Expression Omnibus(GEO)and European Bioinformatics Institute(EBI)ArrayExpress databases.The co-regulated DEGs in at least two datasets of unstable carotid plaques were merged and analyzed using Gene Ontology Biological Process(GO-BP),Kyoto Encyclopedia of Genes and Genomes(KEGG),Protein-Protein Interaction(PPI)Networks and subnetwork analysis,relationships between miRNAs/transcription factors and target genes,and drug-gene interaction database.Quantitative real-time PCR(qRT-PCR)and enzyme-linked immunosorbent assay(ELISA)were used to detect the expression levels of some DEGs in carotid plaques and plasma from 58 patients with carotid atherosclerosis.Results GO enrichment analysis showed that DEGs in unstable carotid atherosclerotic plaques were mainly enriched in genes related to inflammatory response and extracellular matrix structure genes.KEGG enrichment analysis indicated that upregulated DEGs in unstable carotid plaques were enriched in extracellular matrix receptor(ECM-receptor)interaction,PI3K-Akt,Hippo and transforming growth factor-β(TGF-β)signaling pathways,while downregulated DEGs were primarily enriched in lysosomes,phagosomes,and chemokines processes.PPI network analysis suggested that COL1A2,COL4A2,insulin-like growth factor binding protein 6(IGFBP6),COL4A5,C1QA,CXCL10,CXCL2,CXCR4,and CSF1R may play important roles in PPI networks.Prediction of drug-gene interactions revealed that CSF1R had the most drug interaction,CXCL2 was most antagonized by drugs,and IGFBP6 was most activated by drugs.qRT-PCR showed that the expression level of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.001).ELISA results showed that plasma concentration of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.0001).Receiver operating characteristic(ROC)suggested that the area under the curve(AUC)for plasma IGFBP6 levels to identify unstable plaques was 0.894(95%CI 0.810-0.977),with a cutoff value of 142.08 ng/ml.Conclusion IGFBP6 may become an important biomarker for predicting unstable carotid atherosclerotic plaques.

Objective To investigate the feasibility and value of a multi-parametric MRI radiomics-based nomogram model for pretreatment predicting the lymphovascular space invasion(LVSI)of endometrial endometrioid adenocarcinoma(EEA).Methods Preoperative MRI and baseline clinical characteristics of 205 EEA patients were prospectively collected from Oct 2020 to Jan 2022 in the Obstetrics and Gynecology Hospital,Fudan University,and randomly divided into training set(n=123)and validation set(n=82)in a 6∶4 ratio.The whole-tumor region of interest was manually drawn on T2-weighted imaging,diffusion-weighted imaging(apparent diffusion coefficient),and dynamic contrast-enhanced MRI,respectively,for radiomics features extraction.In the training set,univariate and multivariate Logistic regression analysis were used to select independent clinical predictors of LVSI(+)and construct the clinical model.The least absolute shrinkage and selection operator(LASSO)regression and multivariate Logistic regression analysis were used to select optimal radiomics features to form a radiomics signature.A combined nomogram model was established by integrating clinical independent predictors and the radiomics signature,and validated in the validation set.The predicting performance and clinical net benefit were evaluated by using the area under the receiver operating characteristic curve(AUC)and clinical decision curve analysis,respectively.Results Of the 205 EEA cases,144 cases were LVSI(-)and 61 cases were LVSI(+).Menopausal status,CA125,and CA199 were independent clinical predictors for the LVSI(+),and contributing to a clinical model with AUCs of 0.714(training)and 0.731(validation).From 8 240 extracted radiomics features,five were selected to construct a MRI radiomics signature after de-redundancy and LASSO dimensionality reduction,yielding AUCs of 0.860(training)and 0.759(validation).The combined nomogram model showed AUCs of 0.887(training)and 0.807(validation),outperforming others and achieving maximum clinical benefit in a large range of threshold probability in both training and validation sets.Conclusion The multi-parametric MRI-based nomogram model has the potential for pretreatment predicting the LVSI status of EEA,providing valuable information for clinical management decision-making and improving patient's clinical benefits.

Objective To explore the clinical value of anti-Müllerian hormone(AMH)to optimize endocrine therapy for peri-menopausal early breast cancer.Methods Two hundred and four patients of pre-menopausal breast cancer aged 45-55 years old between 2020 and 2023 were enrolled,and AMH≤0.1 ng/mL was considered as cut-off value for menopause.Switching from selective estrogen receptor modulator(SERM)to aromatase inhibitor aromatase inhibitor(AI)and initial endocrine therapy regimens were based on AMH,follicle-stimulating hormone(FSH)and estradiol(E2).Results Pre-chemotherapy AMH level was significantly negatively correlated with FSH level(P<0.001).Among 100 cases who were amenorrhea for one year during SERM treatment,42 cases did not have AMH testing.Fourteen out of the 42 cases switched to AI within one year,and ovarian function recovery(OFR)occurred in 2 cases after AI switching.Fifteen cases with AMH>0.1 ng/mL did not switch to AI within one year.Forty among 43 cases with AMH≤0.1 ng/mL switched to AI,after a significantly shorter median SERM treatment duration(3.15 months vs.8.14 months,P<0.001)and a significantly lower OFR rate(0 vs.12.5%,P=0.023)compared with those who did not test AMH but switched to AI.AMH≤0.1 ng/mL was an independent risk factor of transition to menopause shortly in peri-menopausal patients(OR=35.857,P<0.001).Among 104 cases with AMH tested before adjuvant chemotherapy,69 cases had AMH>0.1 ng/mL.Thirty-one out of the 69 cases were treated with ovarian function suppression(OFS)initially and 38 with SERM initially.Thirty-five cases with AMH≤0.1 ng/mL were all treated with SERM initially,with a higher rate of switching to AI(71.4%vs.23.7%,P<0.001)and a shorter SERM treatment duration(6.52 months vs.13.56 months,P=0.016)compared with the 38 cases(AMH>0.1 ng/mL)treated initially with SERM.After a median 30-month follow-up,no recurrence was observed in these thirty-five cases treated with SERM initially and AMH≤0.1 ng/mL,just like in OFS group.And they had a tendency of improved survival outcome compared with those treated with SERM initially and AMH>0.1 ng/mL(Log Rank P=0.076).Conclusion AMH could evaluate and predict menopause accurately,resulting in optimizing endocrine therapy for peri-menopausal patients effectively and safely.

Objective To provide references for reasonable equipping of airborne medical equipment oriented to different tasks by constructing a medical equipment requirement model for the helicopter evacuation and rescue team.Methods Relevant basic data were collected and organized on time for routine and emergency medical treatment and elementary medical equipment requirements for types of medical treatment.AnyLogic multi-agent modeling was used to established a medical equipment requirement model for the helicopter evacuation and rescue team,with the casualty,equipment and medical personnel as the agent modules and the logical relationship-based access rules between the agents.An example was taken with a Z-8 helicopter transformed into an ambulance platform to transport the rescue team and casualties,in which a variety of evacuation tasks with multi combinations of light and serious casualties were simulated and the model developed was used to record and analyze the data on waiting time for medical treatment,completion rate,personnel utilization rate and equipment requirement during 100 times of simulation flight.Results The model developed could provide generalized medical equipment allocation programs for the helicopter evacuation and rescue team to complete a variety of evacuation tasks in terms of electronic device,treatment equipment,auxiliary instrument and medical consumables.Conclusion The model developed facilitates rational allocation of medical equipment for the helicopter evacuation and rescue team.[Chinese Medical Equipment Journal,2024,45(5):28-33]

Objective:To investigate the effect of integrin αvβ6 on lipid metabolism in colon cancer cells;to identify potential metabolic biomarkers for the diagnosis of colon cancer.Meth-ods:Liquid chromatography-mass spectrometry(LC-MS)-based lipidomic analysis was utilized to investigate the effects of αvβ6 on the changes in SW480 metabolism in colon cancer cell lines.The partial least squares discriminant analysis model showed different lipid profiles in Integrin αvβ6 over-expressed or low-expressed SW480.Results:After Integrin αvβ6 overexpression,a total of 252 lipids showed significant differences in SW480 cells,of which 138 showed up-regulation and 114 showed down-regulation.Moreover,the Methyl phosphatidylcholine(MePC),phosphatidyl-choline(PC),phosphatidylethanolamine(PE)and triglycerides(TG)were also found to have good diagnostic potential in αvβ6 overexpressing cancer cells.Conclusion:Integrin αvβ6 may promote cancer cell invasivness and metastasis by regulating pathways of dysregulated lipid metabolism.These results may provide potential clues to the molecular mechanisms of Integrin αvβ6 on colon cancer cells.