Hepatocellular carcinoma （HCC） with biliary duct tumor thrombus （BDTT） is currently not common in clinical practice and is easily misdiagnosed， and previously， it was often considered an advanced stage of the disease with a poor prognosis， making its treatment challenging. However， in-depth studies in recent years have gradually deepened our understanding of this disease， leading to significant changes in diagnostic and treatment concepts. Currently， comprehensive treatment， mainly surgery， is used for treatment， but there is still controversy over the selection of clinical treatment strategies. This article provides a detailed discussion on surgical methods and prognosis， in order to provide a reference for clinical treatment options.

Objective:To analyze the positioning error and the overall setup errors (OSEs) of patients undergoing gamma knife pain-free face mask fractionated treatment for head tumors based on kV orthogonal image guidance.Methods:A total of 58 patients who received image-guided fractionated gamma knife treatment for head tumors with a pain-free face mask at the Gamma Knife Treatment Center of Xi'an International Medical Center Hospital from July 1, 2022 to May 31, 2024 were included in the study. A kV-class orthogonal X-ray IGPS image-guided positioning system was used to collect positioning errors in three translational directions: left-right (X), anterior-posterior (Y), and head-foot (Z), as well as in three rotational directions: left-right (P), anterior-posterior (R), and head-foot ( Y) before correction. After online correction and combined with manual positioning verification, the corrected positioning errors were recalculated. The OSEs in translational and rotational directions were calculated before and after correction. The positioning errors in all six directions (X, Y, Z, P, R, Y) before and after correction were plotted. And the OSE scatter plots in translational and rotational directions were created accordingly. Errors in the six directions and OSEs in translational and rotational directions were compared. The OSEs in translational and rotational directions were analyzed across different age groups and genders. Results:The pre-correction positioning errors in the X, Y, Z, P, R, Y directions for patients were (0.45±1.54) mm, -0.96 (-1.70, -0.28) mm, 1.67 (-0.15, 3.07) mm, (0.70±1.60) °, 0.65 (0.30, 1.19) °, (0.59±0.87) °, and the post-correction positioning errors were (-0.02±0.18) mm, 0.15 (0.10, 0.21) mm, 0.06 (-0.04, 0.16) mm, (0.20±0.79) °, 0.42 (0.19, 0.78) °, (0.20±0.63) °. There were statistically significant differences between before and after correction ( t=2.30, P=0.025; Z=-5.43, P<0.001; Z=-4.10, P<0.001; t=2.56, P=0.013; Z=-3.21, P=0.001; t=3.21, P=0.002). The OSEs in translational (X, Y, Z) and rotational (P, R, Y) directions before correction were 3.07 (1.93, 4.35) mm, 1.90 (1.28, 2.66) °, and the OSEs after correction were 0.27 (0.21, 0.33) mm, 1.08 (0.70, 1.54) °, with statistically significant differences ( Z=-6.60, P<0.001; Z=-5.52, P<0.001). For patients aged 18-44 years, the OSEs in translational (X, Y, Z) and rotational (P, R, Y) directions before and after correction were 3.65 (1.62, 3.95), 0.21 (0.21, 0.31) mm, 3.25 (2.24, 3.96) °, 0.92 (0.59, 1.45) °; for patients aged 45-59 years, the OSEs were 3.57 (2.17, 5.22), 0.29 (0.22, 0.35) mm, 1.89 (1.30, 2.30) °, 1.08 (0.62, 1.51) °; for patients aged 60-74 years, the OSEs were 2.92 (1.74, 4.06), 0.24 (0.19, 0.35) mm, 2.16 (1.09, 2.95) °, 0.98 (0.78, 1.75) °; for patients aged 75-89 years, the OSEs were 3.24 (2.12, 4.37), 0.29 (0.22, 0.47) mm, 1.73 (1.01, 1.83) °, 0.60 (0.47, 1.51) °. There were no statistically significant differences in OSEs of translational and rotational directions before and after correction among the four age groups ( H=1.23, P=0.747; H=1.74, P=0.627; H=7.45, P=0.059; H=2.80, P=0.424). For male patients, the OSEs before and after correction in translational (X, Y, Z) and rotational (P, R, Y) directions were (3.19±1.59), 0.27 (0.27, 0.33) mm, 1.89 (1.27, 2.75) °, (0.84±0.59) °; for female patients, the OSEs were (3.22±1.99), 0.26 (0.25, 0.35) mm, 1.90 (1.34, 2.41) °, (1.04±0.46) °. There were no statistically significant differences in OSEs of translational and rotational directions before and after correction between genders ( t=-0.07, P=0.949; Z=-0.48, P=0.632; Z=-0.02, P=0.161; t=-2.80, P=0.424) . Conclusions:The image-guided system, which is based on the kV orthogonal X-ray stereoscopic imaging, can significantly reduce the positioning errors between fractions of pain-free face mask gamma knife treatment for head tumor patients and improve the positioning accuracy of the gamma knife through the dual verification process of "automatic correction and manual review".

Objective:To construct a nomogram model for predicting the incidence of hepatocellular carcinoma based on serum abnormal prothrombin and alpha-fetoprotein and evaluate the predictive effect.Methods:Retrospective analysis of data from 351 patients with liver disease who received treatment at the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2023, including 285 males and 66 females, aged (52.9±11.9) years. Among the 351 patients, there were 229 cases (65.2%) of hepatocellular carcinoma, 87 cases (24.8%) of liver cirrhosis, and 35 cases (10.0%) of chronic hepatitis B. All patients were randomly divided into a training set ( n=245) and a testing set ( n=106) in a 7∶3 ratio without replacement sampling. The training set was used to construct the model, and the testing set was used to evaluate the model. At the same time, gender, age, disease type, and other indicators were compared between the two sets. The risk factors of hepatocellular carcinoma were analyzed by univariate and multivariate logistic regression based on the training set, and a nomogram was constructed to predict the incidence of hepatocellular carcinoma based on the multivariate results. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive performance of nomogram, and decision curve analysis was used to evaluate the clinical applicability of the model. Results:There was no statistically significant difference in age, gender, disease type, etc. between the training and testing sets of patients (all P>0.05). Univariate logistic regression analysis showed that age, abnormal prothrombin logarithm (LnPIVKA-Ⅱ), alpha-fetoprotein logarithm (LnAFP), and diabetes were associated with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that older age ( OR=1.07, 95% CI: 1.03-1.12), higher LnPIVKA-Ⅱ ( OR=2.97, 95% CI: 1.97-4.46), higher LnAFP ( OR=1.43, 95% CI: 1.11-1.84) and diabetes ( OR=5.17, 95% CI: 1.02-26.17) were risk factors for hepatocellular carcinoma (all P<0.05). Based on the above variables, a nomogram model for predicting the incidence of hepatocellular carcinoma was constructed. The area under the ROC curve analysis of the nomogram for predicting the incidence of hepatocellular carcinoma was 0.920 (95% CI: 0.886-0.953) in the training set and 0.934 (95% CI: 0.891-0.977) in the testing set. The calibration curve fit well with the standard curve, and the prediction was basically consistent with the actual situation. The decision curve analysis showed that the net benefit of the model was greater than 0 under most thresholds (0.1-1.0). Conclusion:The nomogram constructed based on age, LnPIVKA-Ⅱ, LnAFP and diabetes can effectively predict the incidence of hepatocellular carcinoma and has clinical applicability.

Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.

Objective:To construct a nomogram model for predicting the incidence of hepatocellular carcinoma based on serum abnormal prothrombin and alpha-fetoprotein and evaluate the predictive effect.Methods:Retrospective analysis of data from 351 patients with liver disease who received treatment at the First Affiliated Hospital of Zhengzhou University from January 2021 to December 2023, including 285 males and 66 females, aged (52.9±11.9) years. Among the 351 patients, there were 229 cases (65.2%) of hepatocellular carcinoma, 87 cases (24.8%) of liver cirrhosis, and 35 cases (10.0%) of chronic hepatitis B. All patients were randomly divided into a training set ( n=245) and a testing set ( n=106) in a 7∶3 ratio without replacement sampling. The training set was used to construct the model, and the testing set was used to evaluate the model. At the same time, gender, age, disease type, and other indicators were compared between the two sets. The risk factors of hepatocellular carcinoma were analyzed by univariate and multivariate logistic regression based on the training set, and a nomogram was constructed to predict the incidence of hepatocellular carcinoma based on the multivariate results. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive performance of nomogram, and decision curve analysis was used to evaluate the clinical applicability of the model. Results:There was no statistically significant difference in age, gender, disease type, etc. between the training and testing sets of patients (all P>0.05). Univariate logistic regression analysis showed that age, abnormal prothrombin logarithm (LnPIVKA-Ⅱ), alpha-fetoprotein logarithm (LnAFP), and diabetes were associated with hepatocellular carcinoma (all P<0.05). Multivariate logistic regression analysis showed that older age ( OR=1.07, 95% CI: 1.03-1.12), higher LnPIVKA-Ⅱ ( OR=2.97, 95% CI: 1.97-4.46), higher LnAFP ( OR=1.43, 95% CI: 1.11-1.84) and diabetes ( OR=5.17, 95% CI: 1.02-26.17) were risk factors for hepatocellular carcinoma (all P<0.05). Based on the above variables, a nomogram model for predicting the incidence of hepatocellular carcinoma was constructed. The area under the ROC curve analysis of the nomogram for predicting the incidence of hepatocellular carcinoma was 0.920 (95% CI: 0.886-0.953) in the training set and 0.934 (95% CI: 0.891-0.977) in the testing set. The calibration curve fit well with the standard curve, and the prediction was basically consistent with the actual situation. The decision curve analysis showed that the net benefit of the model was greater than 0 under most thresholds (0.1-1.0). Conclusion:The nomogram constructed based on age, LnPIVKA-Ⅱ, LnAFP and diabetes can effectively predict the incidence of hepatocellular carcinoma and has clinical applicability.

As a new technology in the smart hospital construction project,Building Information Modeling(BIM)can re-alize the visualization of the project engineering by constructing a three-dimensional model.Compared with the traditional Comput-er Aided Design(CAD)two-dimensional mapping,it has stronger simulation,collaboration and optimization functions.Taking the construction project of the second phase of the scientific research and teaching building of a national regional medical center as an example,this article deeply compared the application value and management effectiveness of CAD two-dimensional mapping and BIM three-dimensional model in the project construction process,with the aim of providing certain references and guidance for the comprehensive construction of smart hospitals and the construction of smart project engineering.

As a new technology in the smart hospital construction project,Building Information Modeling(BIM)can re-alize the visualization of the project engineering by constructing a three-dimensional model.Compared with the traditional Comput-er Aided Design(CAD)two-dimensional mapping,it has stronger simulation,collaboration and optimization functions.Taking the construction project of the second phase of the scientific research and teaching building of a national regional medical center as an example,this article deeply compared the application value and management effectiveness of CAD two-dimensional mapping and BIM three-dimensional model in the project construction process,with the aim of providing certain references and guidance for the comprehensive construction of smart hospitals and the construction of smart project engineering.

Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.

Objective:To evaluate the effects of different intervention measures on duration of mechanical ventilation and the length of intensive care unit (ICU) stay in critically ill patients using network Meta-analysis.Methods:Randomized controlled trial (RCT) on the effects of different intervention measures on duration of mechanical ventilation and the length of ICU stay in critically ill patients were systematically searched in PubMed, Embase, China Biomedical Literature Database, CNKI, and other databases. The search time limit was from the establishment of the database to November 2023. Literature screening, quality assessment, and data extraction were independently conducted by two researchers. Network Meta-analysis was employed to assess the effects of each intervention on duration of mechanical ventilation and the length of ICU stay, and funnel plots were generated.Results:A total of 37 RCTs were included, involving 3?977 severe patients, 2?041 in the intervention group and 1?936 in the control group. Thirteen types of interventions were analyzed, including usual care (UC), early activity (EA), early comprehensive rehabilitation (ECR), early pulmonary rehabilitation (EPR), cluster intervention strategy (CS), sedation, analgesia and cluster nursing (SACN), music therapy (MT), neuromuscular electrical stimulation (NMES), modified education and visitation (MV), virtual reality (VR), auricular point sticking (APS), acupoint acupuncture (AA), and concerted intervention (COR). Network Meta-analysis showed that MV significantly better than COR [standardized mean difference ( SMD) = -2.35, 95% confidence interval (95% CI) was -4.30 to -0.39], EPR ( SMD = -2.59, 95% CI was -4.81 to -0.37), and UC ( SMD = -4.10, 95% CI was -5.71 to -2.49) in improving duration of mechanical ventilation in critically ill patients. COR was significantly better than UC in shortened length of ICU stay ( SMD = -5.72, 95% CI was -10.07 to -1.37). The efficacy ranking results showed that for duration of mechanical ventilation, the surface under the cumulative ranking curve (SUCRA) was highest for MV (85.4%) and EA (85.4%), followed by AA (74.9%), NMES (63.1%), ECR (51.7%), CS (48.8%), SACN (34.3%), COR (29.4%), EPR (26.1%), and UC (0.7%). For the length of ICU stay, COR had the highest SUCRA (82.3%), followed by APS (79.7%), MV (77.7%), EPR (68.0%), NMES (57.6%), CS (54.4%), ECR (51.1%), SACN (41.9%), MT (39.8%), EA (39.3%), AA (33.0%), VR (15.4%), and UC (9.8%). The funnel plot results of ICU stay showed that the publication bias between studies were relatively small. Conclusions:MV and COR appear to be effective interventions for reducing mechanical ventilation time and ICU stay in critically ill patients. However, due to the number and quality of included studies, these findings require confirmation through additional high-quality research.

Concurrent chemoradiotherapy (CCRT) refers to the simultaneous treatment of chemotherapy and radiotherapy, and the effect of radiotherapy is enhanced with low-dose chemotherapy, which can reduce tumor recurrence and metastasis and improve clinical prognosis of patients. At present, the main factors for the increase of radiosensitivity of concurrent chemotherapy is that concurrent chemotherapy prevents the repair of tumor cells, and chemotherapy and radiotherapy act on different cell cycles and have synergistic effects. However, even for patients with locally advanced cervical cancer (LACC) who have undergone CCRT, the 5-year survival rate is only 60%, which is still not ideal. In order to improve the efficacy, researchers have conducted a series of exploratory studies, which consist of the combination of targeted drugs and immunodrugs, and neoadjuvant regimens before CCRT, etc. Although targeted or immunologic drugs are effective treatment of LACC, in view of the lack of large-scale evidence-based medical evidence, multi-center prospective and randomized phase III clinical trials and high-level articles are needed to improve the level of evidence-based medicine. This consensus summarizes several key evidence-based medical studies published recently, especially the clinical research progress in targeted and immunological therapies, providing reference for domestic peers.