With the increasing use of low-dose computed tomography (LDCT) in lung cancer screening and health examinations, the clinical goal of pulmonary nodule management has shifted from detecting nodules to identifying lesions that warrant intervention while avoiding overdiagnosis and overtreatment of low-risk disease. Artificial intelligence (AI) has consequently evolved from computer-aided detection and segmentation to benign-malignant differentiation, longitudinal growth assessment, invasiveness prediction, risk stratification, and closed-loop workflow support. This review outlines the developmental trajectory of AI for pulmonary nodules and summarizes advances in detection and segmentation, radiomics, end-to-end deep learning, longitudinal modeling, and multimodal integration across incidentally detected, screening-detected, subsolid, and multiple-nodule scenarios. Particular attention is given to real-world failure modes and their causes, including data and label bias, scanner- and protocol-related distribution shift, spectrum bias and overfitting in subsolid nodules, missed atypical lesions, automation bias, and management of discordance between AI outputs and guideline-based recommendations. Current evidence suggests that AI may improve detection efficiency and risk reclassification in selected settings; however, evidence regarding cross-population calibration, patient-relevant outcomes, cost-effectiveness, and post-deployment monitoring remains limited. AI should therefore be positioned as a human-in-the-loop adjunct within guideline-governed pathways, supported by scenario-specific validation, transparent reporting, interpretability and accountability, continuous performance auditing, and multidisciplinary decision-making.

Background In recent years, the increasingly widespread application of nuclear and medical radiation technologies has resulted in a large number of occupational populations exposed to low-dose ionizing radiation (LDIR). At present, there is no consistent conclusion on the effects of long-term exposure to LDIR on the metabolic health of the occupational population. Objective To explore the association between long-term exposure to LDIR and metabolic syndrome (MetS) among medical radiologists. Methods A cross-sectional study was conducted to enroll 6431 medical radiologists who ordered occupational health checkups from January 2022 to December 2023, and basic information such as demographic characteristics, occupational characteristics, lifestyles, and dietary habits was collected through questionnaires. Physical examinations were conducted using a standardized protocol. Individual dose equivalents of occupational external exposure were monitored by dosimeters worn by medical radiologists. Logistic regression model was used for identifying influencing factors of MetS and sensitivity analysis, and restricted cubic spline model was used to explore the dose-response relationship between cumulative effective dose and MetS. Two-stage linear regression was used to evaluate threshold effect of association between cumulative effective dose and MetS. Results The positive rate of MetS was 13.6% (877/6431) among the enrolled 6431 study participants. The logistic regression showed that gender, age, monthly income, body mass index (BMI), cumulative effective dose, and smoking were influencing factors for MetS. The risk of MetS was higher in males (OR=1.511, 95%CI: 1.209, 1.888); using the < 30 years old group as reference, the risk of MetS was higher in the 30-39 years old (OR=1.509, 95%CI: 1.095, 2.079), 40-49 years old (OR=2.214, 95%CI: 1.551, 3.161), and ≥50 years old (OR=3.480, 95%CI: 2.338, 5.181) groups; using the <10000 yuan group as reference, the risk of MetS was lower in the group with a monthly income of 10000-14999 yuan (OR=0.715, 95%CI: 0.582, 0.878); the risk of MetS was higher in the BMI ≥ 24 kg·m⁻² group (OR=7.548, 95%CI: 6.223, 9.156); using the < 0.76 mSv group as reference, the risk of MetS was higher in the cumulative effective dose of 0.76-2.73 mSv group (OR=1.270, 95%CI: 1.017, 1.586); the risk of MetS was higher in the smoking group (OR=1.734, 95%CI: 1.428, 2.107). The results of restricted cubic spline showed that the cumulative effective dose was nonlinearly correlated with MetS (P _{non-linearity}=0.028), with an inflection point of 1.25 mSv. The risk of developing MetS increased by 34.1% for each unit increase in cumulative effective dose up to 1.25 mSv, whereas above 1.25 mSv, the statistical association was not significant. The sensitivity analysis results showed that after excluding the self-reported hypertensive and diabetic patients, the cumulative effective dose 0.76-2.73 mSv group still had an increased risk of developing MetS compared with the < 0.76 mSv group (P < 0.05), and the results were robust. Conclusion Among medical radiologists, male, age, BMI, and smoking are positively correlated with MetS, and monthly income is negatively correlated with MetS; cumulative effective dose is non-linearly correlated with MetS among medical radiologists.

OBJECTIVES: To analyze the distribution of Y chromosome azoospermia factor (AZF) microdeletions and their association with testicular development in male pediatric patients with congenital reproductive system disorders, including hypospadias, cryptorchidism, and disorders of sex development (DSD). METHODS: A prospective cohort study was conducted on pediatric patients admitted to the Department of Urology of Shanghai Children's Hospital from November 2021 to December 2023. The observation group included boys with hypospadias, cryptorchidism, or DSD, while the control group comprised boys with phimosis, indirect inguinal hernia, or hydrocele. Blood samples were collected for AZF microdeletion analysis using multiplex PCR to detect 15 sequence-tagged sites. Testicular ultrasound was performed to record testicular position and volume. Propensity score matching (PSM) was used to balance the groups. After matching, testicular volume differences were assessed. Stratified analyses compared testicular volume among children with AZF microdeletions, the control group, and children without micro-deletions in observation group. RESULTS: A total of 493 children were enrolled (observation group: 463; control group: 30). No Y chromosome microdeletions were detected in the control group. Four boys in the observation group had AZF microdeletions: one with cryptorchidism (AZFc+AZFd), one with isolated hypospadias (AZFc), and two with DSD (one with AZFb+AZFc+AZFd and one with AZFa). Ultrasonography measured 888 testicles. After PSM, testicular volume was significantly smaller in the observation group than in the control group (P<0.01). Stratified analysis revealed that among children under 9 years, those with AZF microdeletions tended to be older but had smaller testicular volumes compared to the control group and those without microdeletions in the observation group, although differences were not statistically significant (all P>0.05). Among children over 9 years, ages were comparable, but children with AZF microdeletions had smaller testicular volumes than the other two groups (statistical analysis was not performed due to small sample size). CONCLUSIONS The prevalence of Y chromosome microdeletions is higher in male children with congenital reproductive system disorders compared to the general population, particularly in those with DSD. Hypospadias, cryptorchidism, DSD, and AZF microdeletions may be associated with delayed testicular development in these children.

[Objective]To explore the correlation between general anesthesia and mild cognitive impairment in older adults so as to provide new ideas for early prevention and timely intervention of mild cognitive impairment(MCI).[Methods]Based on the baseline survey of the Hubei memory and aging cohort study(2018-2023),the participants completed a thorough neuropsychological assessment and physical examination,and self-reported a history of general anesthesia and surgery.The association of general anesthesia and MCI in the elderly was analyzed using the logistic regression model.In addition,the stratification and interaction analysis of anesthesia history,anesthesia number and physical intellectual exercise were conducted separately.[Results]A total of 5 069 older adults aged 65 and above were included in this study,including 3 692 city dwellers and 1 377 rural people,among whom were 2 584 women(51%).Out of the 1 472 participants with history of general anesthesia,249 people(17.4%)had MCI.After controlling for confounding factors,there was a 39.6%increased risk of MCI in older adults who underwent general anesthesia[OR=1.396,95%CI(1.169,1.668),P<0.001],suggesting that general anesthesia may be an independent influence on MCI.For the older adults who had one general anesthesia[OR=1.235,95%CI(1.001,1.523),P=0.049],two general anesthesia[OR=1.779,95%CI(1.292,2.450),P<0.001],and three OR more general anesthesia[OR=2.395,95%CI(1.589,3.610),P<0.001],their risks of MCI were increased by 23.5%,77.9%,and 139.5%,respectively.Compared with the older adults without a history of general anesthesia who did not exercise,the risk of developing MCI was significantly negatively correlated with the exercise group,cognitive exercise group,and combined exercise and cognitive exercise groups(all P<0.001).The risk of developing MCI in the exercise group was 60.2%of that in the no exercise group[OR=0.602,95%CI(0.456,0.795)],the risk in the cognitive exercise group was 42.4%of that in the no exercise group[OR=0.424,95%CI(0.294,0.613)],and the risk in the combined exercise and cognitive exercise group was 27.0%of that in the no exercise group[OR=0.270,95%CI(0.208,0.353)].In the older adults with a history of general anesthesia,compared with the no exercise group,the risk of developing MCI was significantly negatively correlated with the cognitive exercise group and the combined exercise and cognitive exercise group(all P<0.05).The risk of developing MCI in the cognitive exercise group was 47.7%of that in the no exercise group[OR=0.477,95%CI(0.256,0.892)],the risk in the combined exercise and cognitive exercise group was 34.5%of that in the no exercise group[OR=0.345,95%CI(0.220,0.540)],while the risk in the exercise-only group did not show a significant difference.[Conclusion]The risk of MCI increased significantly in older adults with a history of general anesthesia,and this risk increased with the times of anesthesia.Physical and mental exercise reduces the risk of MCI.it is recommended that older adults with a history of anesthesia incorporate physical and mental exercise into their daily lives to prevent mild cognitive impairment.

Objective:To investigate the effects of Clostridium butyricum on ulcerative colitis（UC）in mice and its impact on gut microbiota and autophagy levels. Methods:Eighteen C57BL/6J mice were randomly divided into a control group，a model group，and a treatment group，with six mice in each group using simple random sampling. Mice in the model and treatment groups were freely given 2.5% dextran sulfate sodium salt（DSS）solution for 5 days to establish a UC model. After successful modeling，the control and model groups were gavaged with PBS，while the treatment group was gavaged with 5×10 8 CFU/ml of live Clostridium butyricum. After the intervention，changes in body weight，disease activity index（DAI），colonic length，and pathological conditions were compared among the groups. Fluorescence quantitative PCR was used to detect the expression levels of intestinal inflammatory cytokines IL-1β and TNF-α. Myeloperoxidase（MPO）levels were analyzed，and Western blot was employed to detect the expression levels of zonula occludens-1（ZO-1），Occludin，LC3Ⅱ/LC3I，p62，and AMP-activated protein kinase/mammalian target of rapamycin AMPK/mTOR proteins. High-throughput sequencing technology was utilized to analyze the intestinal microbiota of the mice. Results:Compared with mice in the control group，the mice in the model group exhibited significant weight loss，markedly increased DAI and inflammation levels（ P<0.01），destruction of colonic structure，decreased expression levels of intestinal tight junction proteins（ P<0.05），suppressed autophagy levels（ P<0.05），and dysbiosis of the intestinal microbiota. In contrast，mice in the treatment group had a slower weight decline compared to the model group（ P<0.000 1），reduced DAI（ P<0.01），down-regulated inflammation levels（ P<0.01），improved barrier function（ P<0.05），up-regulated autophagy levels（ P<0.01），and an improved intestinal microbiota composition. Conclusions:Clostridium butyricum may ameliorate UC by modulating the intestinal microbiota composition，and enhancing autophagy levels，thus improving intestinal barrier function and inhibiting inflammatory progression in UC mice.

Objective:To investigate the interaction between non-alcoholic fatty liver disease (NAFLD) and overweight/obesity on the risk of mild cognitive impairment (MCI) in elderly individuals.Methods:This cross-sectional study was based on the Hubei Memory and Aging Cohort Study (HMACS). Cluster random sampling was used to select 5 661 elderly individuals aged≥65 years in Wuhan from 2018 to 2023. Standardized neuropsychological assessments and clinical examinations results were collected. The NAFLD was diagnosed by abdominal ultrasound. The logistic regression analysis was used to analyze the association of NAFLD and overweight/obesity with MCI. The impacts of interaction between NAFLD and overweight/obesity on the risk of MCI were analyzed using both multiplicative and additive models.Results:Among the 5 661 elderly individuals included in the analysis, 2 563 were male and 3 098 were female, with a mean age of (72.24±5.51) years. A total of 2 239 participants (39.6%) resided in rural areas, 2 841 (50.2%) were overweight/obesity, 2 390 (42.2%) had NAFLD, and 1 694 (29.9%) were diagnosed with MCI. The risk of MCI in elderly individuals with NAFLD and overweight/obesity was 2.975 times ( OR=2.975, 95% CI: 2.489-3.557, P<0.001) of that in non-overweight/obese individuals without NAFLD. There was a multiplicative interaction between NAFLD and overweight/obesity on MCI ( OR=1.508, 95% CI: 1.169-1.944, P=0.002). NAFLD and overweight/obesity had an additive interaction effect on the risk of MCI, and the relative excess risk of interaction, attributable proportion of interaction and the synergy index was 1.099 (95% CI: 0.630-1.593), 0.369 (95% CI: 0.222-0.487), 2.256 (95% CI: 1.457-3.492), respectively. Conclusion:There is an interaction between NAFLD and overweight/obesity in elderly individuals, and the co-existence of NAFLD and overweight/obesity increases the risk of MCI in this population.

Objective:To investigate the effects of Clostridium butyricum on ulcerative colitis（UC）in mice and its impact on gut microbiota and autophagy levels. Methods:Eighteen C57BL/6J mice were randomly divided into a control group，a model group，and a treatment group，with six mice in each group using simple random sampling. Mice in the model and treatment groups were freely given 2.5% dextran sulfate sodium salt（DSS）solution for 5 days to establish a UC model. After successful modeling，the control and model groups were gavaged with PBS，while the treatment group was gavaged with 5×10 8 CFU/ml of live Clostridium butyricum. After the intervention，changes in body weight，disease activity index（DAI），colonic length，and pathological conditions were compared among the groups. Fluorescence quantitative PCR was used to detect the expression levels of intestinal inflammatory cytokines IL-1β and TNF-α. Myeloperoxidase（MPO）levels were analyzed，and Western blot was employed to detect the expression levels of zonula occludens-1（ZO-1），Occludin，LC3Ⅱ/LC3I，p62，and AMP-activated protein kinase/mammalian target of rapamycin AMPK/mTOR proteins. High-throughput sequencing technology was utilized to analyze the intestinal microbiota of the mice. Results:Compared with mice in the control group，the mice in the model group exhibited significant weight loss，markedly increased DAI and inflammation levels（ P<0.01），destruction of colonic structure，decreased expression levels of intestinal tight junction proteins（ P<0.05），suppressed autophagy levels（ P<0.05），and dysbiosis of the intestinal microbiota. In contrast，mice in the treatment group had a slower weight decline compared to the model group（ P<0.000 1），reduced DAI（ P<0.01），down-regulated inflammation levels（ P<0.01），improved barrier function（ P<0.05），up-regulated autophagy levels（ P<0.01），and an improved intestinal microbiota composition. Conclusions:Clostridium butyricum may ameliorate UC by modulating the intestinal microbiota composition，and enhancing autophagy levels，thus improving intestinal barrier function and inhibiting inflammatory progression in UC mice.

Objective:To investigate the interaction between non-alcoholic fatty liver disease (NAFLD) and overweight/obesity on the risk of mild cognitive impairment (MCI) in elderly individuals.Methods:This cross-sectional study was based on the Hubei Memory and Aging Cohort Study (HMACS). Cluster random sampling was used to select 5 661 elderly individuals aged≥65 years in Wuhan from 2018 to 2023. Standardized neuropsychological assessments and clinical examinations results were collected. The NAFLD was diagnosed by abdominal ultrasound. The logistic regression analysis was used to analyze the association of NAFLD and overweight/obesity with MCI. The impacts of interaction between NAFLD and overweight/obesity on the risk of MCI were analyzed using both multiplicative and additive models.Results:Among the 5 661 elderly individuals included in the analysis, 2 563 were male and 3 098 were female, with a mean age of (72.24±5.51) years. A total of 2 239 participants (39.6%) resided in rural areas, 2 841 (50.2%) were overweight/obesity, 2 390 (42.2%) had NAFLD, and 1 694 (29.9%) were diagnosed with MCI. The risk of MCI in elderly individuals with NAFLD and overweight/obesity was 2.975 times ( OR=2.975, 95% CI: 2.489-3.557, P<0.001) of that in non-overweight/obese individuals without NAFLD. There was a multiplicative interaction between NAFLD and overweight/obesity on MCI ( OR=1.508, 95% CI: 1.169-1.944, P=0.002). NAFLD and overweight/obesity had an additive interaction effect on the risk of MCI, and the relative excess risk of interaction, attributable proportion of interaction and the synergy index was 1.099 (95% CI: 0.630-1.593), 0.369 (95% CI: 0.222-0.487), 2.256 (95% CI: 1.457-3.492), respectively. Conclusion:There is an interaction between NAFLD and overweight/obesity in elderly individuals, and the co-existence of NAFLD and overweight/obesity increases the risk of MCI in this population.

With the extensive applications of nuclear energy in the military, scientific research, and medical fields, radiological medicine has developed into a significant discipline. So far, studies of radiology have been conducted mostly using cell and animal models, both of which have limitations. Organoids, as 3D in vitro culture systems derived from tissue stem cells, have filled the gap left by these conventional models. They have been widely applied in review, disease research, drug development, and cancer modeling since their structures, functions, and genetic characteristics are akin to those of primary tissues. This review presents the applications of organoid models of various organ types in radiotherapy, as well as the limitations and prospects of organoids.

Objective To investigate the key elements for model establishment and determine the evaluation indicators of animal models for pelvic inflammatory disease(PID),providing a reference for improving modelling methods and optimizing the application of PID animal models.Methods The search query"Pelvic Inflammatory Disease"AND"Animal Model"OR"Rat"OR"Mouse"OR"Guinea Pig"OR"Rabbit"OR"Dog"OR"Pig"was used to retrieve relevant literature on PID animal models published from 2013 to 2023 in China Knowledge Network Infrastructure(CNKI),Wanfang,and PubMed databases.The studies were analyzed and categorized based on experimental animal types,modelling methods,modelling cycles,detection indicators,positive control drugs,and administration duration.A database was established for statistical analysis.Results A total of 214 research articles on PID animal models meeting the inclusion criteria were identified.The most commonly used model animals are Sprague Dawley(SD)rats,followed by Wistar rats.The most frequently employed modelling method is a combination of mechanical injury and bacterial infection,followed by the phenol mucilage method.The most common modelling cycles for acute pelvic inflammatory disease(APID)and chronic pelvic inflammatory disease(CPID)/sequelae of pelvic inflammatory disease(SPID)are 8 to 14 days,while for PID models without specific staging,the cycles are 7 days.High-frequency detection methods and indicators include histopathological observation using hematoxylin-eosin staining,enzyme-linked immunosorbent assay(ELISA)for serum-related indicators,morphological changes of tissues observed with the naked eye,and immunohistochemical detection of related protein expression in uterine tissues,and pathological scoring.The most frequently used positive control drugs are Fuke Qianjin Tablets,followed by Jingangteng Capsules.The most common administration duration for APID is 7 days,and for CPID/SPID models,it ranges from 15 to 21 days.Conclusion Currently,SD rats and Wistar rats are commonly used as experimental animals for PID models.The dual modelling method of mechanical injury combined with mixed bacterial infection aligns closely with clinical pathogenesis and can be used to establish a PID model that simulates postoperative uterine cavity infection.Depending on the research objectives,different positive drugs and detection indicators should be selected for comprehensive evaluation.Most existing PID animal model studies are based on western medical diagnosis,with fewer studies focusing on Traditional Chinese Medicine(TCM)syndromes.There is a need to integrate TCM theories of etiology and pathogenesis to construct PID animal models that are more in line with TCM clinical symptoms.