Prostate cancer is one of the most common malignant tumors of male genitourinary system. Prostate cancer has the following characteristics： insidious onset， early asymptomatic or not obvious symptoms， complex etiology and pathogenesis， long incubation period and so on. Therefore， the realization of its early diagnosis and treatment is of great significance to the prognosis of patients. Prostate-specific membrane antigen （PSMA） is a type 2 transmembrane glycoprotein that is highly expressed on the membrane of almost all primary and metastatic prostate cancer cells， and is an ideal target for prostate cancer imaging and treatment. In recent years， with the approval of urea-containing small molecule PET （positron emission computed tomography） radiopharmaceutical based on PSMA （⁶⁸Ga-PSMA-11， ¹⁸F-PSMA-1007）， PET-CT （positron emission computed tomography/computed tomography） has shown new potential for early diagnosis and accurate staging of prostate cancer patients. This review mainly summarizes the research progress of urea-containing PSMA PET imaging agents and finds that they have defects such as uptake in non-target tissues like the kidneys， lacrimal glands， and salivary glands. Thus， further optimizing their structure to reduce the uptake in non-target tissues， providing provide convenience for the labeling of therapeutic radiopharmaceuticals， thereby achieving the goal of integrated diagnosis and treatment， is an important development direction in this field.

Pancreatic ductal adenocarcinoma （PDAC） is highly malignant and often has an extremely poor prognosis， and early postoperative liver metastasis is one of the key influencing factors for prognosis. With reference to the clinical and experimental studies in recent years， this article reviews the clinical risk factors for early liver metastasis after PDAC and systematically elaborates on major molecular events underlying early postoperative liver metastasis from various aspects of construction of the pre-metastatic niche in the liver driven by tumor-derived exosomes， the pro-metastatic microenvironment maintained by metastasis-associated macrophages and neutrophil extracellular traps， the invasive phenotype and liver-tropic migration of tumor cells， intrahepatic immunometabolic adaptation， and fibrotic remodeling， in order to provide a theoretical basis for perioperative risk stratification and the development of intervention strategies.

Background Non-optimal temperatures pose significant threats to public health. Analyzing the association between temperature exposure and the number of emergency cases of acute alcohol intoxication can provide evidence for optimizing emergency resource allocation and response strategies. Objective To analyze the overall impact and lag effects of non-optimal temperatures on the number of 120 emergency calls for acute alcohol intoxication in Wuxi, and to assess the attributable risk, in order to provide empirical evidence for formulating climate-adaptive public health strategies. Methods Call records of acute alcohol intoxication from Wuxi's 120 emergency service, concurrent air pollutant data, and meteorological data (including daily mean temperature) were collected from January 1, 2014 to December 31, 2020. Distributed lag nonlinear modeling was used for time-series analysis, with cross-basis functions to capture the nonlinear relationship and lag effects between temperature and emergency volume. Confounding factors such as long-term trends, humidity, pollutants [ultimately including ozone (O₃) and fine particulate matter (PM_2.5)], day of the week, and holidays were controlled. The maximum lag period was set to 14 days. Single-day lag and cumulative lag effects of extreme temperatures were analyzed, followed by sensitivity analysis. Effects were quantified using relative risk (RR) and 95% confidence intervals (95%CI), and attributable fractions and numbers for different temperature ranges were calculated. Results A total of 10705 emergency cases of acute alcohol intoxication were included during the study period, with males accounting for 89.5% and individuals aged 18–50 years accounting for 83.4%. A non-linear "U-shaped" association was observed between daily mean temperature and the number of emergency calls, with an optimal temperature of 13.3 ℃. The effect of the extreme low temperature (1.88 ℃) was statistically significant from lag1 to lag3 after exposure (P<0.05), with the maximum effect at lag1 (RR=1.063, 95%CI: 1.002, 1.129). The extreme high temperature (32.3 ℃) showed an immediate effect, with maximum effect at lag0 (RR=1.374, 95%CI: 1.248, 1.512). The cumulative effect analysis showed that the risk associated with high temperature was the highest at lag0–3 (RR=2.000, 95%CI: 1.667, 2.399), while the risk associated with low temperature was the highest at lag0–14 (RR=1.462, 95%CI: 1.042, 2.051). The attribution analysis indicated that the mild heat (>24.7–30.8 ℃) and heat (>30.8–33.5 ℃) contributed the largest numbers of attributable cases, with 591 cases (95%CI: 56, 1032) and 190 cases (95%CI: 51, 309), respectively. The corresponding attributable fractions were 5.81% (95%CI: 0.80%, 9.94%) and 1.87% (95%CI: 0.49%, 2.96%), respectively. Conclusion Both extreme high and low temperatures significantly increase the number of 120 emergency calls for acute alcohol intoxication in Wuxi. High temperature exhibit an acute effect, while low temperature show a delayed effect. Mild heat have a significant impact on the emergency burden. It is recommended that emergency departments optimize resource allocation according to climatic characteristics and strengthen emergency responses during extreme weather to reduce alcohol-related health burden.

Bacteriophages possess the ability to infect and kill bacteria and have now been applied in various oral diseases,providing new insights for the prevention and treatment of oral diseases.They are expected to become a novel biological antibacterial agent for treating oral diseases.This paper comprehensively discusses the application of bacteriophages in oral medicine from six aspects:the concept and application prospects of bacteriophages,four common infectious diseases of the oral cavity and their pathogenic bacteria,existing treatment methods,and the application and outlook of bacteriophages in these diseases.Lay a theoretical basis for the clinical implementation of phage therapy.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.

Objective To observe the value of nomogram of ultrasound combined with laboratory indexes for predicting axillary lymph node metastasis(ALNM)of stage cT1N0 breast invasive ductal carcinoma(IDC).Methods A total of 77 cases with pathologically diagnosed stage cT1N0 single breast IDC were retrospectively collected,including 23 cases with and 54 cases without ALNM.Univariate and multivariate binary logistic regression analysis were used to analyze clinical data,laboratory indicators and ultrasonic manifestations,then the independent predictors of ALNM of stage cT1N0 breast IDC were screened to establish laboratory indexes model,ultrasound model and combined model,respectively,and nomogram of the combined model was drawn.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive efficacy of each model.The consistency of results of combined model and actual results was analyzed using calibration curve.Decision curve analysis(DCA)was used to explore the clinical value of each model.Results Serum carbohydrate antigen 153(CA153)(OR=1.132),platelet-to-lymphocyte ratio(PLR)(OR=1.020)and echo attenuation behind the lesion on ultrasound(OR=8.789)were all independent predictors of ALNM in stage cT1N0 breast IDC(all P＜0.05),and the area under the curve(AUC)of laboratory indexes model,ultrasound model and combined model for predicting ALNM of stage cT1N0 breast IDC was 0.757,0.616 and 0.836,respectively.The consistency of the predicted results of combined model and actual results was good.When the threshold was higher than 0.15,the net benefit of combined model was higher than that of the other 2 models.Conclusion Nomogram of ultrasound combined with laboratory indexes could effectively predict ALNM of stage cT1N0 breast IDC.

Objective To compare the differences in the average transaction costs per-referral patients under different models of Integrated Delivery Systems(IDS).Methods Using a typical case sampling method,it selected referred patients from three IDS models:the county medical alliance in D City(Qinghai Province),the urban medical consortium in J District(Zhengzhou City,Henan Province),and the health management coalition in N County(Shandong Province).Structured questionnaires collected demographics,average transaction costs per-referral and cost perceptions.t-tests and ANOVA assessed cost differences;generalized linear regression identified influencing factors.Results Among 915 patients,the average transaction costs per-referral were 1 035.05 yuan(county alliance),195.31 yuan(urban consortium),and 700.97 yuan(health management coalition),with statistically significant differences(P＜0.05).The urban consortium exhibited lower time costs and specialized input costs.Key influencing factors included older age(county alliance),education level,employment status,and referral travel time(urban consortium),as well as urban-rural disparities(health management coalition).Patients'cost perceptions significantly differed across models(P＜0.05).Conclusion The urban medical consortium demonstrated the lowest patient the average transaction costs,highlighting its institutional advantage in minimizing financial burdens.

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

Oocyte maturation disorders and fertilization failures are caused by a variety of factors, including complex factors such as chromosomal abnormalities and poor oocyte quality. With the widespread use of high-throughput sequencing technology, more and more genetic mutations have been found to be associated with oocyte maturation and fertilization process in infertile patients. This paper summarizes and discusses 11 key genes ( TRIP13, TBPL2, LHX8, PATL2, TUBB8, CDC20, WEE2, ZP, ASTL, JUNO and CD9) related to oocyte maturation and fertilization-related disorders in females, providing a basis for research on the prevention of diseases associated with oocyte maturation blockage and fertilization failure and the development of targeted therapies.

Non-classical congenital adrenal hyperplasia (NCCAH), an autosomal recessive disorder, stems from genetic mutations affecting the enzymes and cofactors integral to adrenal steroidogenesis. These mutations may result in diminished activity or a complete loss of function for critical enzymes, such as 21-hydroxylase, 11β-hydroxylase, 3β-hydroxysteroid dehydrogenase, 17α-hydroxylase, and the steroidogenic acute regulatory protein (StAR). The impairment of these enzymatic processes has profound implications for reproductive health in females, mediated through both genetic and endocrine pathways. This review aims to explore the pathogenesis of various enzyme defects in different types of NCCAH, their clinical features, and their impact on female fertility. It is hoped that this will help refine the diagnostic strategies for infertility associated with NCCAH, thereby enhancing fertility of patients and providing new directions and opportunities for further research in this field.