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 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.

BACKGROUND:Poor prognosis of hip arthroplasty in patients with osteoporosis seriously affects the patients'quality of life.Accurately predicting the risk factors for poor prognosis of hip arthroplasty in patients with osteoporosis remains a major challenge for orthopedic surgeons.OBJECTIVE:To explore risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis and construct a Nomogram prediction model.METHODS:A total of 192 patients with osteoporosis who underwent hip arthroplasty in Nanyang Second People's Hospital from July 2020 to June 2022 were selected as study subjects.Harris hip function scale was performed 6 months after operation.Patients with Harris score ≥ 80 were included in the good prognosis group(n=142),while patients with Harris score＜80 were included in the poor prognosis group(n=50).Clinical data of the two groups were collected and subjected to univariate analysis.Receiver operating characteristic curves were used to analyze the predictive value of the measures for poor prognosis after hip arthroplasty in patients with osteoporosis.Binary logistic regression was used to analyze the risk factors affecting poor prognosis after hip arthroplasty in patients with osteoporosis.The Nomogram prediction model for poor prognosis after hip arthroplasty in patients with osteoporosis was constructed.The calibration curve was internally validated and the concordance index was calculated,and the decision curve was evaluated for clinical predictive efficacy.RESULTS AND CONCLUSION:(1)The differences between the two groups were statistically significant in terms of age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,prognostic nutritional index,and complications(P＜0.05).(2)Area under the curve for age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,and prognostic nutritional index were 0.813,0.780,0.787,0.764,0.777,0.785,and 0.818.(3)Age,body mass index,intraoperative bleeding,and complications were risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis.(4)The corrected,raw curve of the nomogram prediction model was close to the ideal curve with a concordance index of 0.851(0.815-0.886)and a good model fit,with a threshold of＞0.12 for the Nomogram prediction model to provide a net clinical benefit,and all net clinical benefits were higher than the independent predictors.(5)It is concluded that age,body mass index,intraoperative bleeding,and complications are risk factors affecting the poor prognosis of osteoporotic patients after hip arthroplasty.The Nomogram prediction model constructed based on this can help clinicians assess the prognosis of osteoporotic patients after hip arthroplasty,develop personalized interventions,improve prognosis,and enhance the quality of life.

By systematically summarizing the basic situation of the Arctium lappa L.industry in our country,the strengths,weaknesses,opportunities,and threats(SWOT)analysis method,and the multi-expert review method were used to analyze,screen,and test the elements obtained.It is determined that the development of Arctium lappa L.industry should adopt the S-O strategy of relying on internal advantages to use external opportunities and judging from the orientation,the external opportunities are more pronounced,to take the opportunity of pioneering strategy.Based on utilizing external opportunities and exerting our advantages,we should adopt the strategy of product diversification,the strategy of expanding the international market,and the strategy of promoting science and technology to promote the efficient development of Arctium lappa L.industry.

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 analyze the predictive value of the prognostic nutritional index combined with inflammatory indicators for clinical outcomes in patients with ischemic stroke, providing a basis for targeted therapeutic interventions and nursing care for patients at potential risk of poor outcomes.Methods:This retrospective cohort study recruited 424 ischemic stroke patients admitted to the Stroke Center of the First Hospital of Jilin University from June 2021 to May 2024 by the convenience sampling method. Collect the general demographic data, routine laboratory examination results within 24 hours of admission, as well as the National Institutes of Health Stroke Scale (NIHSS) scores at admission and discharge of the patients. Based on 3-month functional outcomes, patients were divided into a favorable prognosis group and a poor prognosis group. Univariate analysis, least absolute shrinkage and selection operator regression, and binary Logistic regression were employed to screen predictive variables and develop a nomogram model. Internal validation was performed using the Bootstrap method. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve were drew to evaluate the predictive performance of the model.Results:The favorable prognosis group comprised 256 patients, including 57 females and 199 males, with an age of 61(54, 68) years. The poor prognosis group included 168 patients, with 55 females and 113 males, and an age of 66(58, 72) years. Binary Logistic regression identified age, sex, hyperlipidemia, NIHSS score at discharge, prognostic nutritional index, systemic inflammatory response index, and systemic immune-inflammation index as independent predictors of prognosis in ischemic stroke patients ( χ2 values were 4.52-56.18, all P<0.05). The prediction model demonstrated the area under the curve of ROC of 0.806 (95% CI 0.764-0.849), with an optimal cutoff value of 0.406, achieving specificity of 78% and sensitivity of 68%. The Hosmer-Lemeshow test yielded a non-significant P>0.05, and the calibration curve showed good agreement between predicted and observed outcomes, with a mean absolute error of 0.012. Decision curve analysis confirmed the clinical utility of the model across a wide range of threshold probabilities. Conclusions:The integrated prognostic model combining the prognostic nutritional index and inflammatory indicators demonstrated favorable discriminative ability, robust calibration, and substantial clinical utility. This risk stratification tool shows high applicability for predicting ischemic stroke outcomes, facilitating early identification of high-risk patients with poor prognosis and guiding personalized intervention strategies.

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.

BACKGROUND:Poor prognosis of hip arthroplasty in patients with osteoporosis seriously affects the patients'quality of life.Accurately predicting the risk factors for poor prognosis of hip arthroplasty in patients with osteoporosis remains a major challenge for orthopedic surgeons.OBJECTIVE:To explore risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis and construct a Nomogram prediction model.METHODS:A total of 192 patients with osteoporosis who underwent hip arthroplasty in Nanyang Second People's Hospital from July 2020 to June 2022 were selected as study subjects.Harris hip function scale was performed 6 months after operation.Patients with Harris score ≥ 80 were included in the good prognosis group(n=142),while patients with Harris score＜80 were included in the poor prognosis group(n=50).Clinical data of the two groups were collected and subjected to univariate analysis.Receiver operating characteristic curves were used to analyze the predictive value of the measures for poor prognosis after hip arthroplasty in patients with osteoporosis.Binary logistic regression was used to analyze the risk factors affecting poor prognosis after hip arthroplasty in patients with osteoporosis.The Nomogram prediction model for poor prognosis after hip arthroplasty in patients with osteoporosis was constructed.The calibration curve was internally validated and the concordance index was calculated,and the decision curve was evaluated for clinical predictive efficacy.RESULTS AND CONCLUSION:(1)The differences between the two groups were statistically significant in terms of age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,prognostic nutritional index,and complications(P＜0.05).(2)Area under the curve for age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,and prognostic nutritional index were 0.813,0.780,0.787,0.764,0.777,0.785,and 0.818.(3)Age,body mass index,intraoperative bleeding,and complications were risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis.(4)The corrected,raw curve of the nomogram prediction model was close to the ideal curve with a concordance index of 0.851(0.815-0.886)and a good model fit,with a threshold of＞0.12 for the Nomogram prediction model to provide a net clinical benefit,and all net clinical benefits were higher than the independent predictors.(5)It is concluded that age,body mass index,intraoperative bleeding,and complications are risk factors affecting the poor prognosis of osteoporotic patients after hip arthroplasty.The Nomogram prediction model constructed based on this can help clinicians assess the prognosis of osteoporotic patients after hip arthroplasty,develop personalized interventions,improve prognosis,and enhance the quality of life.

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.

By systematically summarizing the basic situation of the Arctium lappa L.industry in our country,the strengths,weaknesses,opportunities,and threats(SWOT)analysis method,and the multi-expert review method were used to analyze,screen,and test the elements obtained.It is determined that the development of Arctium lappa L.industry should adopt the S-O strategy of relying on internal advantages to use external opportunities and judging from the orientation,the external opportunities are more pronounced,to take the opportunity of pioneering strategy.Based on utilizing external opportunities and exerting our advantages,we should adopt the strategy of product diversification,the strategy of expanding the international market,and the strategy of promoting science and technology to promote the efficient development of Arctium lappa L.industry.