Objective:To compare the safety,short-term and long-term efficacy of laparoscopic radical antero-grade modular pancreatic-splenic resection(L-RAMPS)and open radical anterograde modular pancreatic-splenic resec-tion(RAMPS)in the treatment of distal pancreatic cancer,providing clinical evidence for the development of minimally in-vasive surgery for distal pancreatic cancer.Methods:Clinical and follow-up data of patients with distal pancreatic can-cer who underwent surgical treatment at Department of Liver Transplantation and Hepatobiliary Surgery,Shandong Pro-vincial Hospital Affiliated to Shandong First Medical University,between January 2019 and October 2021 were retro-spectively collected.Patients were divided into a L-RAMPS group(n=70)and a RAMPS group(n=36)based on the sur-gical approach.Propensity score matching(PSM)was applied in a 1:1 ratio to compare short-term and long-term out-comes between the two groups.Results:After PSM,L-RAMPS group has the advantage of less estimated blood loss(50 mL vs 180 mL,P=0.002)and a shorter postoperative length of stay(6 d vs 8 d,P<0.001).No statistically significant differences were observed in long-term survival and postoperative complication rates between these two groups(P>0.05).Univariate and multivariate analyses identified preoperative serum CA19-9 levels,peritumoral tissue infiltration,perineural invasion,and lymph node metastasis as independent risk factors for early postoperative tumor recurrence.Conclusion:This study has demonstrated that L-RAMPS for patients with distal pancreatic cancer has the advantage of less estimated blood loss and a shorter postoperative length of stay.The short-term and long-term efficacy of L-RAMPS is comparable to that of RAMPS.L-RAMPS is a safe and effective surgical method for patients with distal pan-creatic cancer.

Objective:To analyze the expression of serum lysyl oxidase like protein 4(LOXL4)and protein tyrosine phosphatase non receptor type 3(PTPN3)in patients with colorectal cancer and their relationship with postoperative liver metastasis.Methods:Totally 137 patients with colorectal cancer who visited Qingdao Central Hospital,University of Health and Rehabilitation Science from April 2017 to December 2019 were recruited as the cancer group.Complying with whether liver metastasis occurred during the follow-up period of 5 years,the patients were classified into the liver metastasis group(27 cases)and the non liver metastasis group(110 cases).Another 137 healthy individuals who underwent physical check ups were recruited as the control group.The qRT-PCR method was used to detect the ex-pression levels of serum LOXL4 and PTPN3 mRNAs.The serum LOXL4 and PTPN3 mRNAs were compared under dif-ferent clinical pathological data,and the pathological data of liver metastasis group and non liver metastasis group were compared.Cox regression analysis was used to explore the influencing factors of postoperative liver metastasis in pa-tients with colorectal cancer.ROC curve was used to explore the predictive value of serum LOXL4 and PTPN3 for postoperative liver metastasis in patients with colorectal cancer.Results:Compared with the control group,the can-cer group had higher levels of serum LOXL4 and PTPN3 mRNAs expression(P<0.05).Compared with patients with medium to high differentiation,infiltration depth≤1/2 muscle layer,and TNM stage I-II,patients with low differentia-tion,infiltration depth>1/2 muscle layer,and TNM stage III had higher levels of serum LOXL4 and PTPN3 mRNAs ex-pression(P<0.05).Compared with the non liver metastasis group,the liver metastasis group had higher levels of se-rum LOXL4 and PTPN3 mRNAs expression(P<0.05).High expression of serum LOXL4 and PTPN3 mRNAs were risk factors for liver metastasis after colorectal cancer surgery(P<0.05).Compared with the single prediction of serum LOXL4 and PTPN3 mRNAs,the AUC of serum LOXL4 combined with PTPN3 in predicting postoperative liver metasta-sis in colorectal cancer patients was higher(P<0.05).Conclusion:Serum LOXL4 and PTPN3 mRNAs expression lev-els are abnormally elevated in patients with colorectal cancer,which is related to the deterioration of pathological data such as differentiation degree,infiltration depth,and TNM staging.Elevated serum LOXL4 and PTPN3 mRNAs expres-sion levels may increase the risk of postoperative liver metastasis in patients,and the combination has higher predic-tive value for postoperative liver metastasis.

Objective:To identify risk factors for mortality in patients with cirrhosis and portal hypertension compli-cated by esophagogastric variceal bleeding(EVB)after transjugular intrahepatic portosystemic shunt(TIPS),and to estab-lish a prediction model.Methods:Clinical data of 80 patients who underwent TIPS from March 2022 to March 2024 were retrospectively analyzed.Based on 28-day outcomes,patients were divided into survival(n=65)and death(n=15)groups.Univariate and multivariate logistic regression analyses were used to determine independent predictors,and the model's calibration and discrimination were assessed by the Hosmer-Lemeshow test and ROC curve.Results:Inde-pendent risk factors for death included Child-pugh score(OR=2.653),MELD score(OR=1.924),bleeding volume(OR=1.754),portal vein thrombosis(OR=3.247),and hepatic encephalopathy(OR=2.834).The model demonstrated good cali-bration(Hosmer-Lemeshow χ2=7.142,P=0.521)and discrimination,with an AUC of 0.873(95%CI:0.773-0.939),sensi-tivity of 83.3%,and specificity of 87.7%.Conclusion:Child-pugh score,MELD score,bleeding volume,portal vein thrombosis,and hepatic encephalopathy are independent predictors of post-TIPS mortality in cirrhotic patients with EVB.Emergency TIPS carries higher mortality risk than elective TIPS.The proposed model shows strong predictive perfor-mance and may aid in individualized prognosis assessment and therapeutic decision-making.

Objective:To analyze the risk factors for fat liquefaction after surgery for pediatric appendiceal abscess and to construct and validate a predictive model for post-operative fat liquefaction.Methods:The training set collected clinical data from 60 children who developed fat liquefaction after appendiceal abscess surgery and 60 children who did not develop fat liquefaction for comparison.The validation set collected data from 97 children during the same period ac-cording to the same criteria to test the model's efficacy.LASSO logistic regression was used to screen potential diag-nostic factors,and a Logistic regression model was employed for univariate analysis.Collinearity diagnostic tests were conducted among the risk factors.The stepwise regression method using the training dataset was applied to evaluate the importance of each risk factor for fat liquefaction.A multivariate Cox proportional hazards model was used to calcu-late the concordance index of the risk factors in both the training and validation sets.A predictive model was constructed using Logistic regression,and the clinical value of the predictive model was evaluated using ROC curves,calibration curves,and decision curves.Results:Compared with the non-liquefaction group,the liquefaction group had higher val-ues in terms of body weight,heart rate,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,body temperature upon admission,fasting plasma glucose(FPG)level,surgical duration,intraoperative blood loss,wound healing time,length of hospital stay,volume of abdominal drainage fluid,and infection status(P<0.05).LASSO logistic regression analysis identified potential factors including body temperature upon admission,heart rate,body weight,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,FPG level,sur-gical duration,and intraoperative blood loss.Univariate analysis revealed that body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss were influencing factors for fat lique-faction after appendectomy(P<0.05).Body weight and FPG factors were mutually independent with no multicollinearity,while there was multicollinearity among the diameter of the tender mass in the right lower abdomen,surgical duration,and intraoperative blood loss.The risk model combining the diameter of the tender mass in the right lower abdomen,in-traoperative blood loss,FPG,surgical duration,and body weight had the highest concordance index in both the training and validation sets,with values of 0.811 and 0.814,respectively.The Logistic regression model established the predictive model as Logit(P)=-1.136+0.664×(diameter of the tender mass in the right lower abdomen)+0.449×(surgical duration)+0.622×(intraoperative blood loss)+0.200×(body weight)+0.578×(FPG).The area under the ROC curve was 0.920(95%CI:0.869～0.942),with a sensitivity of 93.14%and a specificity of 85.73%.The calibration curve of the predictive model showed good fit with the ideal curve.The predictive model had a high net benefit.Conclusion:Body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss are risk factors for fat liquefaction after appendectomy and have good predictive value for the occurrence of fat liquefaction.

Objective:To explore the distribution of pathogenic bacteria causing postoperative infections in chil-dren undergoing surgery for Hirschsprung's disease(HD),and the clinical significance of serum triggering receptor ex-pressed on myeloid cells-1(sTREM-1)and high mobility group box 1(HMGB1).Methods:98 children with HD admit-ted from January 2021 to January 2025 were divided into infection group(n=42)and non-infection group(n=56)accord-ing to whether the children were complicated with infection after operation.Automatic bacterial identification system was used to detect the distribution of pathogenic bacteria in secretion samples from infected sites of HD children after operation.ELISA was used to measure serum sTREM-1 and HMGB1.ROC was used to explore the diagnostic value of serum sTREM-1 and HMGB1 for severe infection in children with HD.Results:A total of 49 strains of pathogenic bac-teria were isolated from 42 children with HD in infection group,of which 63.27%(31/49)were gram-negative bacteria,accounting for the highest proportion,followed by Gram positive bacteria at 30.61%(15/49)and fungi at 6.12%(3/49).Among them,Pseudomonas aeruginosa had the highest proportion of 24.49%(12/49)among Gram negative bacteria.there were 15 cases of mild infection(15 strains of pathogens),16 cases of moderate infection(17 strains of pathogens)and 11 cases of severe infection(17 strains of pathogens).With the aggravation of the infection degree of HD children,the distribution pattern of pathogenic bacteria changed,and gradually changed to mainly gram-negative bacteria infec-tion.Compared with non infected group,the levels of serum sTREM-1 and HMGB1 in infected group were higher(P<0.05).The levels of serum sTREM-1 and HMGB1 in children with severe HD infection are higher than those in children with mild and moderate HD infection(P<0.05).The AUC of the combined diagnosis of serum sTREM-1 and HMGB1 for severe infection in HD children was the highest,at 0.985,which was superior to the separate diagnosis of serum sTREM-1 and HMGB1(Zcombination-sTREM-1=1.988,P=0.047;Zcombination-HMGB1=2.126,P=0.034).Conclusion:Serum sTREM-1 and HMGB1 are elevated in HD children with postoperative infection,and the pathogenic bacteria are mainly gram-negative bacteria.In addition,the combined detection of the two provides a reference for the clinical diagnosis of severe infection in HD children.

Hepatocellular carcinoma(HCC)remains highly prevalent in China and worldwide,with less than 20%of newly diagnosed patients eligible for radical resection and a postoperative 5-year recurrence rate as high as 70%.Perioperative therapy is a key strategy to reduce recurrence,yet evidence for neoadjuvant therapy in HCC is still limited.In recent years,immune checkpoint inhibitors(ICIs)have shown significant progress in HCC treatment,and their potential in the neoadjuvant setting has attracted growing attention.Neoadjuvant immunotherapy can utilize the primary tumor as an antigen reservoir to induce sustained antitumor immunity,and its combination with targeted agents or local therapies may yield synergistic effects.Early studies have demonstrated acceptable safety and preliminary efficacy;however,optimal patient selection,ideal combination strategies,and reliable predictive biomarkers remain to be established.High-quality randomized controlled trials are warranted to verify its impact on long-term survival and to optimize treatment approaches.

In recent years,immunotherapy represented by immune checkpoint inhibitors(ICIs)has created new opportunities for conversion therapy in intermediate to advanced hepatocellular carcinoma(HCC).The combination of ICIs with locoregional treatments,such as transcatheter arterial chemoembolization and hepatic arterial infusion chemotherapy,has demonstrated significant advantages in improving tumor response rates and eliciting systemic immune reactions,markedly enhancing the conversion rate of HCC compared to traditional approaches.However,the application of ICIs prior to liver transplantation also brings potential safety concerns,particularly the risk of graft rejection.These risks are exacerbated by the lack of standardized drug withdrawal intervals and the unpredictability of donor liver allocation,posing substantial challenges in clinical practice.This article systematically reviews the current status of ICIs in downstaging treatment prior to liver transplantation for HCC and discusses risk management strategies,aiming to provide reference for clinical decision-making and guideline development.

Most patients with hepatocellular carcinoma(HCC)are diagnosed at an intermediate or advanced stage,losing the opportunity for surgical resection.Conversion therapy,which uses non-surgical approaches to render initially unresectable tumors resectable,has gradually become part of routine clinical practice and a research focus.However,multiple challenges remain,including the lack of clear criteria for identifying"potentially resectable"cases,difficulty in selecting individualized systemic regimens from multiple approved options and determining whether to combine them with locoregional therapy,controversy over the necessity of surgery in patients achieving radiological complete response,the need for optimization of perioperative assessment and management,uncertainty in determining the optimal timing of surgery,and the absence of consensus on postoperative sequential systemic therapy regimens and duration.Addressing these issues requires multidisciplinary collaboration and high-quality evidence from multicenter randomized controlled trials.With the accumulation of clinical experience,growing evidence,and advances in treatment,more patients with initially unresectable HCC are expected to gain surgical opportunities and achieve long-term disease-free survival.

Background and Aims:Colorectal cancer liver metastasis(CRCLM)is a major cause of poor prognosis in patients with colorectal cancer.Accurate and noninvasive preoperative diagnosis is essential for treatment planning.Conventional clinical biomarkers have limited specificity.This study aimed to develop an efficient predictive model for CRCLM by integrating multimodal MRI imaging omics features with machine learning algorithms,and to evaluate its clinical value.Methods:A total of 150 patients with colorectal cancer who underwent preoperative MRI and were pathologically confirmed at Nanyang First People's Hospital between May 2022 and May 2024 were retrospectively analyzed.Patients were randomly divided into a training set(n=120)and a validation set(n=30),including 57 cases with CRCLM and 93 cases without.Univariate and multivariate analyses were performed to identify independent risk factors for CRCLM and to construct a clinical diagnostic model.Radiomics features were extracted from multimodal MRI,and the least absolute shrinkage and selection operator(LASSO)method was used for feature selection.Logistic regression(LR),support vector machine(SVM),and random forest(RF)models were built and compared for diagnostic performance.A combined clinical-imaging omics model was further established,and its performance and clinical utility were assessed using receiver operating characteristic curves and decision curve analysis(DCA).Results:Carcinoembryonic antigen(OR=1.323,95%CI=1.079-1.567),carbohydrate antigen 19-9(OR=2.512,95%CI=1.225-3.799),and neutrophil-to-lymphocyte ratio(OR=1.881,95%CI=1.354-2.409)were identified as independent risk factors for CRCLM(all P<0.05).The clinical model constructed with these three factors achieved an AUC of 0.793.Among radiomics models,the RF model demonstrated the highest AUC in both training and validation sets(0.770 and 0.763),outperforming LR and SVM.The combined RF-based model yielded AUC of 0.913 and 0.947 in the training and validation sets,respectively,significantly exceeding the performance of the clinical or imaging omics models alone.DCA confirmed the superior net clinical benefit of the combined model.Conclusion:The RF model showed the best diagnostic performance among imaging omics models.When integrated with clinical features,the combined RF model significantly improved the noninvasive diagnostic efficacy of CRCLM and demonstrated high potential for clinical application.

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.