Objective:To investigate the clinical efficacy of intraoperative regional lymph-adenectomy and extended lymphadenectomy in resectable hilar cholangiocarcinoma.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 187 patients of hilar cholangiocarcinoma who were admitted to Henan University People′s Hospital from January 2014 to January 2018 were collected. There were 105 males and 82 females, aged (57±9)years. Of the 187 patients, 62 patients undergoing hilar cholangiocarcinoma resection with extended lymphadenectomy were divided into the extended group, and 125 patients under-going hilar cholangiocarcinoma resection with regional lymphadenectomy were divided into the regional group. Observation indicators:(1) propensity score matching status and comparison of clinical data of patients between the two groups after matching; (2) intraoperative and postoperative conditions; (3) follow-up. Comparison of measurement data with normal distribu-tion between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. The Kaplan-Meier method was used to plot calculate survival rate and survival curve. The Log-rank test was used for survival analysis. Propen-sity score matching was performed using the 1∶1 nearest neighbor matching method, with the caliper value of 0.1. Results:(1) Propen-sity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 187 patients, 104 patients were success-fully matched, with 52 cases in each of the extended group and the regional group. After propensity score matching, the elimination of tumor diameter, neural invasion, Bismuth classification, and TNM staging confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After pro-pensity score matching, the operation time of the extended group was (341±83)minutes, the number of lymph node dissected was 12.3±4.5, the number of positive lymph node dissected was 2.2±0.7, cases of postoperative new lymphadenectasis was 17. The above indicators of the regional group were (311±73)minutes, 9.2±3.4, 1.5±0.5, 44, respectively. There were significant differences in the above indica-tors between patients of the two groups ( t=-1.99, -3.92, -5.57, χ2=31.18, P<0.05). (3) Follow-up. After propensity score matching, all 104 patients were followed up after surgery, with the follow-up time of 29(range, 3-49)months. The postoperative 3-year overall survival rate was 44.2% of the extended group, versus 30.8% of the regional group, showing a significant difference between the two groups ( χ2=4.41, P<0.05). Conclusions:The perioperative safety of regional lymphadenec-tomy and extended lymphadenectomy in the radical resection of hilar cholangiocarcinoma are com-parable. Extended lymphadenectomy can increase the number of positive lymph node detected and improve the postoperative survival rate of patients.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To verify the feasibility and safety of three-dimensional(3D)image acquisition by C-arm combined with orthopedic robot-assisted iliosacral screw fixation through S3 vertebra.Methods From July 2023 to June 2024,a total of 4 patients with closed pelvic fracture were surgically treated.Preoperative pelvic CT 3D reconstruction showed the presence of an ideal iliosacral screw bone channel through S3 vertebra which required screw fixation.There was no such channel through the S1 vertebra,or the stability of fixation through the S3 channel was better than that through the S1 channel.The 3D image acquisition by C-arm combined with orthopedic surgical robot was used to insert screws.Follow-ups were conducted for at least 6 months after surgery to assess fracture healing and limb function.Results All the 4 patients were successfully implanted with a S2 and a S3 iliosacral screw,and all the 8 screws did not penetrate the cortical bone.Three cases had excellent Majeed scores and 1 case had good scores at 3 months after surgery.Follow-ups were conducted for 18,12,7,and 6 months after surgery,respectively,and all fractures healed smoothly without any loosening or breakage of screws.Conclusion 3D image acquisition by C-arm combined with orthopedic robot-assisted iliosacral screw fixation through S3 vertebra is feasible,safe and effective.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To quantify the volume and movement of cardiac substructures by using coronary computed tomography angiography(CCTA)to provide guidance for the design of deep inspiratory breath-holding radiation therapy for left breast cancer and the protection of organs at risk.Methods Totally 18 female patients who received conventional chest plain scan and CCTA were selected to simulate the design process of radiotherapy plan for left breast cancer patients with internal mammary lymph nodes.Retrospective reconstruction of CCTA data was performed for each patient,with 10 phase images(with an interval of 10％)within a R-R cardiac cycle(10％-100％)to simulate the true range of motion of the heart.The heart,left atrium(LA),left ventricle(LV),right atrium(RA),right ventricle(RV),left anterior descending artery(LAD),left circumflex coronary artery(LCX)and right coronary artery(RCA)were contoured at each phase.The distances from the centroid position to the average position of LAD,LCX and RCA were measured at each phase in the superior-inferior(SI),anterior-posterior(AP)and left-right(LR).The average volume and range of volume changes of LA,LV,RA,RV and heart were analyzed within a cardiac cycle.The expansion margins of planning organs at risk volume(PRV)were calculated.SPSS 19.0 software was used for statistical analysis.Results The following average absolute displacements were found in SI,AP and LR coordinates:(1.8±0.7)mm,(1.2±0.5)mm and(1.5±0.5)mm for LAD,respectively;(2.1±0.7)mm,(1.5±0.6)mm and(1.9±0.7)mm for LCX,respectively;(1.6±0.5)mm,(2.2±0.9)mm and(2.2±0.8)mm for RCA,respectively.The volume changes of LA,LV,RA,RV and heart within a cardiac cycle ranged from 34.3 to 63.9 cm3,122.1 to 154.3 cm3,29.3 to 53.6 cm3,57.2 to 94.3 cm3 and 480.1 to 515.4 cm3,respectively.The theoretical expansion margins of LAD,LCX and RCA in all the three directions were within 2 mm.Conclusion The ranges of movement and volume changes of cardiac substructure are quantitati-vely displayed,and references are provided for the planning of deep inspiratory breath-holding radiation therapy for left breast cancer and the protection of organs at risk.[Chinese Medical Equipment Journal,2025,46(3):54-58]

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To observe the efficacy of self-made auxiliary reduction device combined with sinus tarsi approach(STA)in the treatment of Sanders type Ⅱ to Ⅳ calcaneal fractures.Methods A total of 40 patients with Sanders type Ⅱ to Ⅳ calcaneal fractures admitted to our hospital from January to June 2023 were selected and divided into the control group and the observation group by the random number table method,with 20 cases in each group.Patients in the control group underwent surgical treatment with the heel extensile lateral approach(ELA),while patients in the observation group underwent surgical treatment with the auxiliary reduction device combined with STA.The surgical-related indicators,postoperative complications and ankle-foot anatomical indicators of patients in the two groups were compared.The recovery of limb function was evaluated by the American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot scale and Maryland foot function score.Results There was no statistically significant difference in the operation time,postoperative incision drying time,or duration of postoperative pain between the two groups(P>0.05).The postoperative suture removal time of the patients in the observation group was shorter than that of the control group,and the difference was statistically significant(P<0.05).The incidence of skin edge necrosis of incision and the total incidence of complications of patients in the observation group were significantly lower than those in the control group(P<0.05).The B?hler angle and Gissane angle of patients in both groups increased after surgery compared with those before surgery(P<0.05);there was no statistically significant difference in the B?hler angle or Gissane angle after surgery of patients between the two groups(P>0.05).The AOFAS score1 week after surgery of the patients in the observation group was higher than that in the control group(P<0.05),while there were no statistically significant differences in the AOFAS scores or Maryland scores of patients at other time points between the two groups(P>0.05).Conclusion The use of the auxiliary reduction device in surgical treatment with STA for Sanders type Ⅱ to Ⅳ calcaneal fractures can effectively restore the function of the foot and ankle,with short postoperative suture removal time and low incidence of postoperative complications.

The telomere structure in the cell nucleus is crucial for maintaining the stability and functions of chromosomes.Telomerase is a ribonucleoprotein reverse transcriptase,which catalyzes the elongation of telomeres using its own RNA as a template,thereby counteracting the shortening of telomeres caused by chromosome replication and cell division.Due to its overexpression in over 85％of malignant tumor cells,telomerase has emerged as a highly promising biomarker and a novel target for cancer therapy.In recent years,given the importance of precise quantification of telomerase activity in guiding medical diagnosis and treatment strategies,researchers have developed various high-performance telomerase detection techniques.Among these,electrochemical biosensing technique has cause much attention due to its high sensitivity,operational convenience,rapid response,and ease of miniaturization.This paper focused on the latest advances in electrochemical sensing technique for detection of telomerase activity,aiming to provide inspiration for designing novel telomerase activity detection strategies by elucidating three unique properties of telomerase primer extension products.

Objective To verify the feasibility and safety of three-dimensional(3D)image acquisition by C-arm combined with orthopedic robot-assisted iliosacral screw fixation through S3 vertebra.Methods From July 2023 to June 2024,a total of 4 patients with closed pelvic fracture were surgically treated.Preoperative pelvic CT 3D reconstruction showed the presence of an ideal iliosacral screw bone channel through S3 vertebra which required screw fixation.There was no such channel through the S1 vertebra,or the stability of fixation through the S3 channel was better than that through the S1 channel.The 3D image acquisition by C-arm combined with orthopedic surgical robot was used to insert screws.Follow-ups were conducted for at least 6 months after surgery to assess fracture healing and limb function.Results All the 4 patients were successfully implanted with a S2 and a S3 iliosacral screw,and all the 8 screws did not penetrate the cortical bone.Three cases had excellent Majeed scores and 1 case had good scores at 3 months after surgery.Follow-ups were conducted for 18,12,7,and 6 months after surgery,respectively,and all fractures healed smoothly without any loosening or breakage of screws.Conclusion 3D image acquisition by C-arm combined with orthopedic robot-assisted iliosacral screw fixation through S3 vertebra is feasible,safe and effective.