Background and Aims:Hepatocellular carcinoma(HCC)is the most prevalent type of liver malignancy,accounting for 80%of all primary liver cancer cases.Partial hepatectomy is widely considered to be the treatment of choice for HCC.However,post-hepatectomy liver failure(PHLF)is the most serious complication and the leading cause of perioperative death.Therefore,an accurate assessment of the risk of PHLF is particularly critical.Patients with large hepatocellular carcinoma have larger tumors(tumor diameter≥5 cm)and more resected liver tissue,and are more likely to develop PHLF.Previous studies have used various methods to assess the risk of PHLF,including liver function,Child-Pugh classification,model for end-stage liver disease,albumin-bilirubin(ALBI),and aspartate aminotransferase-to-platelet ratio index score.However,no model has been developed for data on hepatectomy for large HCC.Therefore,this study aims to analyze the risk factors of PHLF in HCC patients with large tumor and to construct a preoperative nomogram prediction model to guide and optimize clinical decision-making.Methods:The clinical data of 927 patients with large liver cancer who underwent radical hepatectomy in the First Affiliated Hospital of Anhui Medical University(721 cases,training cohort)and the Second Affiliated Hospital of Anhui Medical University(206 cases,validation cohort)from January 2018 to June 2023 were retrospectively collected.The patients'baseline data,laboratory examination,imaging data,and surgical information were collected.Univariate analysis combined with multivariate analysis was used to screen out the independent risk factors for inducing PHLF,and binary Logistic regression was used to construct a prediction model for PHLF.ROC,calibration,and clinical decision curves verified the model's performance.Results:There were no significant differences in all preoperative data between the training and validation cohorts(P>0.05).Grade B or C PHLF occurred in 192 of 927 patients(20.7%),including 8 patients with grade C PHLF.Univariate and multivariate Logistic regression analyses were used to determine the independent risk factors of PHLF,including tumor diameter,ALBI score,liver cirrhosis,vascular tumor thrombus,and intraoperative blood loss.These factors were included in the Logistic regression analysis,and a nomogram model was constructed to predict PHLF.The nomogram model was validated,and the C-index of the nomogram was 0.757.The ROC curve analysis of the prediction probability of the model showed that the AUC of the training set was 0.757(95%CI=0.703-0.811),and the AUC of the validation set was 0.779(95%CI=0.702-0.863).The validation showed that the model had good predictive ability.Conclusions:Tumor diameter,ALBI score,liver cirrhosis,vascular tumor thrombus,and intraoperative blood loss are independent risk factors for PHLF.The nomogram prediction model constructed in this study can accurately assess the risk of preoperative PHLF,which is helpful for better clinical management,reducing the occurrence of PHLF,and improving the postoperative prognosis of patients.

Objective To explore the mechanism of Shuangshu Decoction(SSD)for inhibiting growth of gastric cancer xenografts in nude mice.Methods Network pharmacology analysis was conducted to identify the common targets of SSD and gastric cancer cell ferroptosis,and bioinformatics analysis and molecular docking were used to validate the core targets.In the cell experiment,AGS cells were treated with SSD-medicated serum,Fer-1(a ferroptosis inhibitor),or both,and the changes in cell viability,ferroptosis markers(ROS,Fe2+and GSH),expressions of P53,SLC7A11 and GPX4,and mitochondrial morphology were examined.In a nude mouse model bearing gastric cancer xenografts,the effects of gavage with SSD,intraperitoneal injection of Fer-1,or their combination on tumor volume/weight,histopathology,and expressions of P53,SLC7A11 and GPX4 levels were evaluated.Results The active components in SSD(quercetin and wogonin)showed strong binding affinities to P53.In AGS cells,SSD treatment dose-dependently inhibited cell proliferation,increased ROS and Fe2+levels,upregulated P53 expression,and downregulated the expressions of SLC7A11 and GPX4,but these effects were effectively attenuated by Fer-1 treatment.SSD also induced mitochondrial shrinkage and increased the membrane density,which were alleviated by Fer-1.In the tumor-bearing mouse models,gavage with SSD significantly reduced tumor size and weight,caused tumor cell necrosis,upregulated P53 and downregulated SLC7A11 and GPX4 expression in the tumor tissue,and these effects were obviously mitigated by Fer-1 treatment.Conclusion SSD inhibits gastric cancer growth in nude mice by inducing cell ferroptosis via the P53/SLC7A11/GPX4 axis.

Objective To evaluate the clinical efficacy of robot-assisted navigation with percutaneous lag screw treatment for Hangman's fracture.Methods We retrospectively analyzed the clinical data of 5 patients treated with robot-assisted C2 percutaneous lag screw for Hangman's fracture in our hospital from September 2021 to August 2023.Patients were positioned with moderate head-neck flexion in a Mayfield head clamp.After closed reduction with manual traction under general anesthesia,the C2 percutaneous lag screws were implanted under TINAVI orthopedic surgical robot assistance.Postoperative cervical CT scans were used to assess screw placement accuracy and fracture healing quality.Clinical efficacy was evaluated by the Odom grading system.Results All the 5 patients were operated successfully without vertebral artery injury or neurological complications.A total of 10 screws were implanted.According to the Gertzbein-Robbins standard,9 screws belonged to the grade A,and 1 belonged to the grade B,with an accuracy of 90％(9/10)and an excellent rate of 100％(10/10).The neck incision length ranged 20-30 mm(mean,27 mm).The operation time was 86-160 min(mean,112.8 min).The intraoperative blood loss was 10-50 ml(mean,30 ml).The postoperative hospitalization was5-18 d(mean,8 d).The patients were followed up for 12-34 months(mean,23.6 months).All fractures healed without screw breakage or loosening.According to the Odom grading,4 cases were excellent,and 1 case was good.Conclusion Robot-assisted navigation C2 percutaneous lag screw treatment for Hangman's fracture is accurate and minimally invasive,safe and effective.

Objective To explore the efficacy of extracting biopsy needle pose in chest CT images based on point cloud processing.Methods Three-dimensional point clouds were generated through segmentation of chest CT images and surface reconstruction.Spatial point cloud clustering and geometric constraints were applied to filter regions contained the puncture needle in space.The principal direction of the needle was judged using principal component analysis,and a cylindrical model was constructed to enclose the needle data.Then random sample consensus algorithm was used for needle trajectory fitting to accurately extract the spatial position and orientation of the puncture needle.The efficacy of the above method was evaluated using a 3D-printed anatomical model based on common clinical combinations of puncture depths and angles.Results The anatomical model experiments showed a 100％success rate in puncture needle identification,with angular error of(1.013±0.424)° and positional error of(2.023±1.553)mm,indicating that this method had good accuracy and stability.Conclusion The puncture needle's position in chest CT images could be extracted with high precision based on point cloud processing.

Objective To observe the impact factors of vascular heat sink effect during in vitro microwave ablation(MWA)of porcine lung.Methods Simulation models were established using in vitro porcine lung tissue blocks based on isobaric inflation with an air pump and cyclic perfusion of duck blood with a glass tube and peristaltic pump,etc.MWA was performed under 8 different combining conditions(vessel diameter of 3 or 5 mm,blood perfusion of 30 or 50 cm/s,as well as distance between vessel and ablation antenna of 5 or 10 mm)each for 3 times.The highest temperature TV on vessel side and TC on control side during MWA,and ablation depth DV on vessel side and DC on control side after MWA were recorded.Multi-factor linear regression equations were constructed based on simulated vessel diameters,blood perfusion and distance between vessel and ablation antenna,and the impact factors of|TC-TV|and|DC-DV|were screened,respectively.Results Simulated vessel diameter showed linear positive correlation with both|TC-TV|and|DC-DV|(both P＜0.001).Simulated distance between vessel and ablation antenna showed linear negative correlation with both|TC-TV|and|DC-DV|(both P＜0.001),and the latter had more obvious impact on vascular heat sink effect than the former.Meanwhile,no significant linear relationship was found between simulated blood perfusion and|TC-TV|nor|DC-DV|(both P＞0.05).Conclusion Simulated vessel diameter and distance between vessel and ablation antenna were both impact factors of vascular heat sink effect during in vitro MWA of porcine lung,and the latter was more influential,whereas simulated blood perfusion showed no significant impact on it.

Gastroesophageal reflux disease(GERD)is a chronic recurrent disorder characterized by typical symptoms such as acid regurgitation and heartburn.Its high recurrence rate and long-term complications not only significantly impact patients' quality of life but also impose a heavy healthcare burden.Traditional proton pump inhibitors(PPIs),as first-line therapeutic agents,are often inadequate for long-term maintenance therapy of GERD due to shortcomings such as short half-life,susceptible to genetic polymorphisms,and nocturnal acid breakthrough.Recently,the potassium-competitive acid blocker(P-CAB)vonoprazan has demonstrated advantages increasingly in the maintenance therapy of GERD.This article reviewed the research progress on vonoprazan in the maintenance therapy of GERD,aiming to provide a reference for optimizing the long-term management of GERD.

Background and Aims:Hepatocellular carcinoma(HCC)is the most prevalent type of liver malignancy,accounting for 80%of all primary liver cancer cases.Partial hepatectomy is widely considered to be the treatment of choice for HCC.However,post-hepatectomy liver failure(PHLF)is the most serious complication and the leading cause of perioperative death.Therefore,an accurate assessment of the risk of PHLF is particularly critical.Patients with large hepatocellular carcinoma have larger tumors(tumor diameter≥5 cm)and more resected liver tissue,and are more likely to develop PHLF.Previous studies have used various methods to assess the risk of PHLF,including liver function,Child-Pugh classification,model for end-stage liver disease,albumin-bilirubin(ALBI),and aspartate aminotransferase-to-platelet ratio index score.However,no model has been developed for data on hepatectomy for large HCC.Therefore,this study aims to analyze the risk factors of PHLF in HCC patients with large tumor and to construct a preoperative nomogram prediction model to guide and optimize clinical decision-making.Methods:The clinical data of 927 patients with large liver cancer who underwent radical hepatectomy in the First Affiliated Hospital of Anhui Medical University(721 cases,training cohort)and the Second Affiliated Hospital of Anhui Medical University(206 cases,validation cohort)from January 2018 to June 2023 were retrospectively collected.The patients'baseline data,laboratory examination,imaging data,and surgical information were collected.Univariate analysis combined with multivariate analysis was used to screen out the independent risk factors for inducing PHLF,and binary Logistic regression was used to construct a prediction model for PHLF.ROC,calibration,and clinical decision curves verified the model's performance.Results:There were no significant differences in all preoperative data between the training and validation cohorts(P>0.05).Grade B or C PHLF occurred in 192 of 927 patients(20.7%),including 8 patients with grade C PHLF.Univariate and multivariate Logistic regression analyses were used to determine the independent risk factors of PHLF,including tumor diameter,ALBI score,liver cirrhosis,vascular tumor thrombus,and intraoperative blood loss.These factors were included in the Logistic regression analysis,and a nomogram model was constructed to predict PHLF.The nomogram model was validated,and the C-index of the nomogram was 0.757.The ROC curve analysis of the prediction probability of the model showed that the AUC of the training set was 0.757(95%CI=0.703-0.811),and the AUC of the validation set was 0.779(95%CI=0.702-0.863).The validation showed that the model had good predictive ability.Conclusions:Tumor diameter,ALBI score,liver cirrhosis,vascular tumor thrombus,and intraoperative blood loss are independent risk factors for PHLF.The nomogram prediction model constructed in this study can accurately assess the risk of preoperative PHLF,which is helpful for better clinical management,reducing the occurrence of PHLF,and improving the postoperative prognosis of patients.

Objective To establish a prognostic model that predicts the survival and prognosis of gastric adenocarcinoma patients by studying the LncRNAs related to iron death in gastric cancer cells,thereby providing a theoretical basis for the development of their biomarkers and therapeutic targets.Methods The transcript sequencing data of gastric adenocarcinoma patients in the TCGA database were analyzed and intersected with iron death-related genes,which were screened for iron death-related LncRNAs by co-expression and differential analysis methods.One-way and multifactorial Cox regression analyses were used to screen out the prognostic-related LncRNAs in gastric adenocarcinoma patients,so as to establish the prognostic scoring models.On this basis,risk values were calculated for each sample,and the reliability of the model was fully verified.According to the model results,differences in the immune infiltration and immune response between the high-and low-risk groups were analyzed.Results Tumor tissues were screened for 503 LncRNAs(431 up-regulated and 72 down-regulated)associated with iron death compared to the normal tissues;univariate Cox regression analysis yielded 33 LncRNAs that could be used as the independent risk factors,whereas multivariate Cox regression analysis constructed a predictive model consisting of 17 LncRNAs.Survival curves indicated that patients with the high risk had the significantly lower survival rates than those with the low risk(P<0.001).Unifactorial and multifactorial independent prognostic analyses showed that age,stage,and risk value were independent risk factors for patients;Time-dependent ROC curves suggested that the predicted AUC values of the model's 1-,2-,and 3-year survival rates were 0.751,0.799,and 0.779 respectively,proving that the model was reliable and stable.There were significant differences in multiple immune activation responses,the degree of immune cell infiltration,and the expression levels of immune check points between the high-and low-risk groups.Conclusion The established prognostic prediction model based on iron death-related lncRNAs for gastric adenocarcinoma patients can better assess the prognosis of patients,and the lncRNAs included in the model have the feasibility of being developed into biomarkers and therapeutic targets.

CT-guided thermal ablation is a critical modality for treating lung cancer.Invasive thermometry techniques demonstrated sufficient accuracy for monitoring temperature of the target area during ablation,but their clinical application were limited since procedural invasiveness and relatively high risk of complications.Being non-invasive,safe and capable of global monitoring,non-invasive thermometry techniques have broad application prospects.The status of non-invasive thermometry techniques for CT-guided thermal ablation for lung cancer were reviewed in this article.

Objective To evaluate the efficacy,safety and patient compliance of a quadruple therapy containing minocycline compared with the traditional quadruple therapy in the treatment of Helicobacter(H.)pylori.Methods This study included 200 H.pylori positive patients,with 100 assigned to the minocycline-containing bismuth quadruple therapy group(LBMC group)and the other 100 to the amoxicillin-containing bismuth quadruple therapy group(LBAC group).After matching the two groups of patients using the propensity score matching(PSM)method,there were 86 cases in each group.Telephone follow-up was conducted on the 14th day after the start of treatment to record patient medication compliance and adverse drug reactions.A 13C urea breath test was performed for re-examination at least one month after completing the treatment plan and discontinuing medication.The intention-to-treat(ITT)and per-protocol(PP)analyses were used to compare the H.pylori eradication rates between the two groups,and Chi-square test and t-test were used for intergroup comparison.Results In the ITT analysis,the eradication rates of the LBMC group and the LBAC group were 89.5%(77/86,95%CI:82.9%～96.1%)and 82.6%(71/86,95%CI:74.4%～90.7%),respectively.In the PP analysis,the eradication rates were 92.6%(75/81,95%CI:86.8%～98.4%)and 88.8%(71/80,95%CI:81.7%～95.8%),respectively.The adverse reaction rate of the LBMC group was 27.9%(24/86),and that of the LBAC group 31.4%(27/86),showing no statistically significant difference(P>0.05).In terms of compliance,the LBMC group was 94.2%(81/86),and the LBAC group 93.0%(80/86),revealing no statistically significant difference(P>0.05).Conclusion As a first-line treatment for eradicating H.pylori,regimens containing minocycline demonstrate equivalent eradication rates to those containing amoxicillin,with similar safety and compliance.They can be used as an alternative treatment for patients allergic to penicillin.