Objective:To investigate the influence of contrast-enhanced computed tomography(CECT)on dose calculation in magnetic resonance imaging(MRI)-guided online adaptive radiotherapy(oART)based on the electron density(ED)assignment method for rectal cancer.Methods:A retrospective analysis was conducted on the medical data of 15 patients with locally advanced rectal cancer at middle-low segments,who admitted to the Chinese PLA General Hospital between December 2023 and April 2025.All patients underwent both plain computed tomography(PCT)and CECT scans during location.The average HU and ED value of all organs that were extracted from PCT and CECT images in the treatment plan system were obtained,and the influences of contrast agent of intake on image characteristics of the structure of each organ(small intestine,femoral head,bladder)were analyzed.PCT was used as referred image to design reference plan(Pref).The synthetic CT(sCT)was simulated and generated on the basis of PCT and CECT,respectively.The beam flow field that was same with Pref was used to recalculate dose on sCT,and then,the online plan(PPCT)based on PCT,and the online plan(PCECT)based on CECT were obtained,respectively,which can simulate the online dose calculation of MRI-guided online adaptive radiotherapy(oART).The Pref was used as reference to compare dosimetric parameters for target region and organ at risk(OAR)through dose volume histogram(DVH)and planed evaluation indicators.Additionally,three dimension(3D)slicer software was used to perform γ analysis for the results of dose distribution,and explore the differences among PPCT,PCECT and Pref on dose distribution.Results:In terms of image characteristics,the HU values of soft-tissue organs(intestine,bladder,spinal cord,soft tissue)and planning target volume(PTV)in CECT were higher than those in PCT,and the differences of them were statistically significant(Zintestines=-2.188,Zbladder=-3.196,tspinal cord=-3.767,tsoft tissue=-10.083,tPTV=-4.693,P<0.05),while its influence was less on bone tissue.The statistical results of ED were consistent with those of HU.Regarding to dosimetric parameters,there was no statistically significant difference in target coverage rate between PPCT and Pref(P>0.05),and the D50%of the PPCT[(2724.25±19.91)cGy]was higher than that of the Pref[(2718.99±21.13)cGy],and the difference was statistically significant(t=-3.679,P=0.002).However,the target coverage rate of PCECT was 94.65(94.04,95.27)%,and the difference of that between PCECT and Pref was statistically significant(Z=-2.158,P=0.031).For OAR,the differences of Dmax value of the small intestine,and the V20 of the left femoral head between PPCT and Pref were significant(Z=-2.556,-2.529,P<0.05).The differences of the Dmax of small intestine,and the D50%of bladder between PCECT and Pref were significant(t=-4.821,2.171,P<0.05).The comparative γ passed rates of PPCT,PCECT and Pref under the standards of 3 mm/3%and 2 mm/2%were all above 95%,and the differences were not significant(P>0.05).Conclusions:The influence of CECT on dose calculation in MRI-guided oART based on ED assignment method for rectal cancer is relatively small,which can be directly used in the design of reference plan,but the maximum dose of radiation-sensitive organs such as the small intestine should be paid attention.

Objective:To investigate the predictive value of anti-Müllerian hormone (AMH) on the outcome of microscopic testicular sperm extraction (micro-TESE) in patients with non-mosaic Klinefelter syndrome (KS) of the clinical data and to identify effective predictors for successful micro-TESE.Methods:A retrospective case-control study was conducted on the clinical data of 118 non-mosaic KS patients treated at the Center for Reproductive Medicine of the First Affiliated Hospital of Zhengzhou University between May 2018 and September 2023. Patients were divided into two groups based on whether sperm were successfully retrieved via micro-TESE: the sperm retrieved group ( n=45) and the no sperm retrieved group ( n=73). Differences between the two groups were compared, and multivariate logistic regression analysis was used to identify factors influencing sperm retrieval. Changes in testicular volume and sex hormone levels before and after surgery were also assessed. Results:The sperm retrieval rate was 38.1% (45/118). Patients in the sperm retrieved group were significantly younger [(26.93±3.80) years] than those in the no sperm retrieved group [(28.27±3.92) years, P=0.029], and the AMH level was significantly higher [0.44 (0.18, 1.13) μg/L] than that in the no sperm retrieved group [0.10 (0.03, 0.22) μg/L, P<0.001]. AMH was identified as an independent predictor of micro-TESE outcome in non-mosaic KS patients ( OR=7.867, 95% CI: 2.727-27.242, P=0.001). The area under the receiver operating characteristic curve was 0.802 (95% CI: 0.722-0.883), and the optimal reference threshold for AMH was ≥0.265 μg/L. Postoperatively, testosterone levels decreased significantly by a median of 0.27 μg/L ( P=0.019), while luteinizing hormone levels increased by a median of 2.08 U/L ( P=0.049), with a more significant decline in testosterone levels observed in the no sperm retrieved group by a median of 0.29 μg/L ( P=0.022). Conclusion:AMH can predict successful micro-TESE in non-mosaic KS patients, with higher AMH levels indicating a higher likelihood of success.

Objective:To explore the effects of Baduanjin and brisk walking on the sleep quality among fe-male college students.Methods:Ninety female college students with poor sleep quality[Pittsburgh Sleep Quality Index(PSQI)≥ 8]were recruited randomly assigned to Baduanjin,brisk walking,and control groups,with 30 par-ticipants in each.The Baduanjin and brisk walking groups participated in 10-week intervention(five 45-minute ses-sions per week),while the control group did not receive any intervention.Baseline and post-intervention assessments were conducted using the PSQI,a lung capacity test,echocardiography,and the Fatigue Scale(FS-14).Results:Af-ter 10 weeks,participants in both the Baduanjin and brisk walking groups got significantly lower PSQI and FS-14 total scores compared to baseline(Ps＜0.001).Cardiopulmonary function indicators,including stroke volume(SV),forced expiratory volume in one second(FEV1.0),the vital capacity-to-body mass index(VC/W),and maximum voluntary ventilation per minute(MVV),also significantly improved(Ps＜0.001).Furthermore,the Baduanjin group had significantly lower PSQI and FS-14 scores than both the brisk walking and control groups(P＜0.001),along with superior improvements in cardiopulmonary function(P＜0.001).Conclusion:This study in-dicates that Baduanjin is particularly effective in improving sleep quality,cardiopulmonary function,and reducing fatigue among female college students,showing advantages over brisk walking.

Objective:To analyze the results of detection and determinants of thyroid nodules among civil pilots, and to provide evidence for health management and aeromedical support.Methods:The results of health examination and flight data of 2 451 pilots at Xiamen Airlines Co., Ltd. collected between July 1, 2021 and June 30, 2022 was retrospectively analyzed. These pilots were divided into a non-nodule group and a nodule group based on thyroid ultrasound findings. Gender,age, flying hours, body mass index, prevalence of hypertension, blood routine parameters, lipid profiles, liver and kidney function, fasting plasma glucose, and long-haul flight frequency were compared between the 2 groups. Multivariate Logistic regression was performed to identify risk factors for thyroid nodules.Results:Among the 2 397 civil pilots, 2 301 were in the non-nodule group and 96 in the nodule group, with a detection rate of 4.01%. Most of these nodules were solitary and small (<1 cm in diameter, 52.08%), and classified as Chinese Thyroid Imaging Reporting and Data System 3 (likely benign, 53.13%). Detection rates of nodules were significantly higher among clivil pilots of older age or with longer flying hours ( χ2=25.17,36.86,both P<0.001). Overweight/obesity, hypertension, hypertriglyceridemia, hyperuricemia, and frequent long-haul flights were also associated with higher prevalence of thyroid nodules ( χ2=14.81, 6.17, 10.86, 11.57, 4.12, P<0.001,=0.013, 0.001, 0.001,0.042). Multivariate Logistic regression analysis pointed to the following independent risk factors: flying hours of 10 001-15 000 ( OR=4.005, 95% CI: 1.952-8.216) and over 15 000 ( OR=5.220, 95% CI: 2.415-11.285), overweight/obesity ( OR=1.646, 95% CI: 1.052-2.576) and hyperuricaemia ( OR=1.838, 95% CI: 1.204-2.804). Conclusions:The detection rate of thyroid nodules among civil pilots is relatively low. The occurrence is linked to advanced age, hypertension, hypertriglyceridemia and long-haul flight frequency, with cumulative flying hours, overweight/obesity and hyperuricemia as key risk factors. Aviation healthcare providers and medical examiners should provide targeted guidance and interventions related to modifiable risk factors to safeguard clivil pilots′ occupational health.

Objective:To investigate the influence of contrast-enhanced computed tomography(CECT)on dose calculation in magnetic resonance imaging(MRI)-guided online adaptive radiotherapy(oART)based on the electron density(ED)assignment method for rectal cancer.Methods:A retrospective analysis was conducted on the medical data of 15 patients with locally advanced rectal cancer at middle-low segments,who admitted to the Chinese PLA General Hospital between December 2023 and April 2025.All patients underwent both plain computed tomography(PCT)and CECT scans during location.The average HU and ED value of all organs that were extracted from PCT and CECT images in the treatment plan system were obtained,and the influences of contrast agent of intake on image characteristics of the structure of each organ(small intestine,femoral head,bladder)were analyzed.PCT was used as referred image to design reference plan(Pref).The synthetic CT(sCT)was simulated and generated on the basis of PCT and CECT,respectively.The beam flow field that was same with Pref was used to recalculate dose on sCT,and then,the online plan(PPCT)based on PCT,and the online plan(PCECT)based on CECT were obtained,respectively,which can simulate the online dose calculation of MRI-guided online adaptive radiotherapy(oART).The Pref was used as reference to compare dosimetric parameters for target region and organ at risk(OAR)through dose volume histogram(DVH)and planed evaluation indicators.Additionally,three dimension(3D)slicer software was used to perform γ analysis for the results of dose distribution,and explore the differences among PPCT,PCECT and Pref on dose distribution.Results:In terms of image characteristics,the HU values of soft-tissue organs(intestine,bladder,spinal cord,soft tissue)and planning target volume(PTV)in CECT were higher than those in PCT,and the differences of them were statistically significant(Zintestines=-2.188,Zbladder=-3.196,tspinal cord=-3.767,tsoft tissue=-10.083,tPTV=-4.693,P<0.05),while its influence was less on bone tissue.The statistical results of ED were consistent with those of HU.Regarding to dosimetric parameters,there was no statistically significant difference in target coverage rate between PPCT and Pref(P>0.05),and the D50%of the PPCT[(2724.25±19.91)cGy]was higher than that of the Pref[(2718.99±21.13)cGy],and the difference was statistically significant(t=-3.679,P=0.002).However,the target coverage rate of PCECT was 94.65(94.04,95.27)%,and the difference of that between PCECT and Pref was statistically significant(Z=-2.158,P=0.031).For OAR,the differences of Dmax value of the small intestine,and the V20 of the left femoral head between PPCT and Pref were significant(Z=-2.556,-2.529,P<0.05).The differences of the Dmax of small intestine,and the D50%of bladder between PCECT and Pref were significant(t=-4.821,2.171,P<0.05).The comparative γ passed rates of PPCT,PCECT and Pref under the standards of 3 mm/3%and 2 mm/2%were all above 95%,and the differences were not significant(P>0.05).Conclusions:The influence of CECT on dose calculation in MRI-guided oART based on ED assignment method for rectal cancer is relatively small,which can be directly used in the design of reference plan,but the maximum dose of radiation-sensitive organs such as the small intestine should be paid attention.

Objective:To analyze the results of detection and determinants of thyroid nodules among civil pilots, and to provide evidence for health management and aeromedical support.Methods:The results of health examination and flight data of 2 451 pilots at Xiamen Airlines Co., Ltd. collected between July 1, 2021 and June 30, 2022 was retrospectively analyzed. These pilots were divided into a non-nodule group and a nodule group based on thyroid ultrasound findings. Gender,age, flying hours, body mass index, prevalence of hypertension, blood routine parameters, lipid profiles, liver and kidney function, fasting plasma glucose, and long-haul flight frequency were compared between the 2 groups. Multivariate Logistic regression was performed to identify risk factors for thyroid nodules.Results:Among the 2 397 civil pilots, 2 301 were in the non-nodule group and 96 in the nodule group, with a detection rate of 4.01%. Most of these nodules were solitary and small (<1 cm in diameter, 52.08%), and classified as Chinese Thyroid Imaging Reporting and Data System 3 (likely benign, 53.13%). Detection rates of nodules were significantly higher among clivil pilots of older age or with longer flying hours ( χ2=25.17,36.86,both P<0.001). Overweight/obesity, hypertension, hypertriglyceridemia, hyperuricemia, and frequent long-haul flights were also associated with higher prevalence of thyroid nodules ( χ2=14.81, 6.17, 10.86, 11.57, 4.12, P<0.001,=0.013, 0.001, 0.001,0.042). Multivariate Logistic regression analysis pointed to the following independent risk factors: flying hours of 10 001-15 000 ( OR=4.005, 95% CI: 1.952-8.216) and over 15 000 ( OR=5.220, 95% CI: 2.415-11.285), overweight/obesity ( OR=1.646, 95% CI: 1.052-2.576) and hyperuricaemia ( OR=1.838, 95% CI: 1.204-2.804). Conclusions:The detection rate of thyroid nodules among civil pilots is relatively low. The occurrence is linked to advanced age, hypertension, hypertriglyceridemia and long-haul flight frequency, with cumulative flying hours, overweight/obesity and hyperuricemia as key risk factors. Aviation healthcare providers and medical examiners should provide targeted guidance and interventions related to modifiable risk factors to safeguard clivil pilots′ occupational health.

Pancreaticoduodenectomy (PD) stands as one of the most challenging landmark procedures in general surgery. Postoperative pancreatic fistula (POPF), a common complication following PD, predisposes patients to secondary pathologies and remains difficult to avoid. Reducing its incidence and mitigating its impact have become focal points in pancreatic surgical research. This article comprehensively reviews domestic and international literature to systematically analyze key factors influencing POPF across three phases: preoperative, intraoperative, and postoperative management. By gaining deeper insights into the pathogenesis of POPF, this review aims to enhance clinical understanding among healthcare professionals, facilitate the implementation of preventive strategies, and offer novel perspectives for minimizing postoperative fistula risks.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.