Objective:To explore differences in the clinical and pathological features and postoperative survival after radical resection of biliary tract cancer in different locations such as intrahepatic cholangiocarcinoma,perihilar cholangiocarcinoma,distal cholangiocarcinoma,and gallbladder cancer.Methods:This is a retrospective case series study. The clinical and pathological data of 4 852 patients with biliary tract cancer admitted to the Department of Hepatobiliary Surgery,the First Affiliated Hospital of Xi ′an Jiaotong University from January 2013 to December 2022 were retrospectively analyzed. Among them, 2 110(43.49%%) patients were male and 2 742(56.51%) patients were female,aged from 26 to 88 years with age of (61.3±10.8) years. Observation indicators: (1) The distribution,diagnosis and treatment of patients with biliary tract cancer; (2) Comparison of clinical and pathological features of patients with biliary tract cancer after curative-intent resection; (3) Survival analysis of patients with biliary tract cancer after curative-intent resection; (4) Analysis of effect on adjuvant therapy for patients with biliary tract cancer after curative-intent resection. One-way analysis of variance,Kruskal-Wallis H test and χ 2 test were used for among-group comparisons,respectively. Survival univariate analysis was performed using the Kaplan-Meier method and Log-rank test. Results:Among the 4 852 patients with biliary tract cancer,there were 2 303 cases (47.46%) of gallbladder cancer,952 cases (19.62%) of intrahepatic cholangiocarcinoma,892 cases (18.38%) of perihilar cholangiocarcinoma,and 705 cases(14.53%) of distal cholangiocarcinoma. From the perspective of the year of diagnosis and treatment,the overall number of patients diagnosed and treated for biliary tract cancer has shown an upward trend. From the perspective of diagnosis and treatment,the curative-intent resection rate was 33.37%(1 619/4 852),and the curative-intent resection rate of distal cholangiocarcinoma was higher than that of other biliary tract cancer ( χ2=23.897, P<0.01). Univariate analysis showed that there were statistical differences in gender,age,bile duct stones,total bilirubin at admission,carcinoembryonic antigen,CA19-9,CA125,the degree of pathological differentiation,vascular invasion,microvascular invasion,perineural invasion,surgical margins,pT staging,and pN staging among patients for biliary tract cancer in different locations (all P<0.05). Survival comparison analysis showed that recurrence-free survival and overall survival of patients with gallbladder cancer after curative-intent resection were significantly better than those of intrahepatic cholangiocarcinoma,perihilar cholangiocarcinoma,and distal cholangiocarcinoma ( χ 2=87.780,83.717,both P<0.01). Comparing the postoperative prognosis of patients with biliary tract cancer between the two periods of 2013 to 2017 and 2018 to 2022, the results showed that recurrence-free survival and overall survival of patients with biliary tract cancer from 2018 to 2022 were significantly better than those from 2013 to 2017 ( χ 2=31.202,25.615, both P<0.01),and the proportion of early recurrence and short-term death after curative-intent resection was significantly reduced ( χ 2=21.588,9.623, both P<0.01),with gallbladder cancer being the most significant ( P<0.01). Postoperative adjuvant therapy for patients with biliary tract cancer can effectively prolong recurrence-free survival and overall survival ( χ 2=5.033,11.273,both P<0.05). Conclusions:Gallbladder cancer remains the most common biliary tract cancer with a relatively favorable prognosis after radical resection. There are significant differences in the clinical and pathological features of biliary tract cancer in different locations,and patients with adjuvant therapy effectively improving prognosis.

Objective: To investigate the effects of polydatin on a high-fat diet-induced non-alcoholic fatty liver disease(NAFLD) mouse model and hepatoma G2(HepG2) cell model, and to reveal its potential molecular mechanisms. Methods: Thirty 6-week-old male SPF C57BL/6J mice were randomly divided into a normal diet group and a high-fat diet group. After the NAFLD mouse model was established in the high-fat diet group, they were further divided into a model group and a polydatin treatment group. The polydatin treatment group was administered polydatin by gavage at a dose of 250 mg/(kg·d) for 10 weeks, during which body weight was monitored and oral glucose and insulin tolerance tests were performed. At the end of the experiment, a series of tests to evaluate the effects of polydatin on mouse liver weight, blood lipids, liver lipid accumulation, and liver injury markers were performed. The expression of G0/G1 switch gene 2(G0S2) and adipose triglyceride lipase(ATGL) was measured by qRT-PCR and Western blot, and gene expression was further verified using immunohistochemical staining. The effects of polydatin on HepG2 cell activity was assessed by CCK-8 assay, lipid accumulation was observed by oil red O staining, and the expression of G0S2 and ATGL was detected by qRT-PCR and Western blot. Results: Polydatin significantly reduced the body weight, liver weight, and serum and liver tissue levels of aspartate aminotransferase(AST), alanine aminotransferase(ALT), triglyceride(TG), and total cholesterol (TC) in mice (P < 0. 05) , al⁃leviated pathological liver damage , decreased G0S2 expression (P < 0. 05) , and increased ATGL expression (P <0. 05) . At the cellular level , polydatin reduced lipid droplet accumulation , improved lipid metabolism , decreased G0S2 expression ( P < 0. 05 ) , and increased ATGL expression ( P < 0. 05 ) . Even in cells with knockdown of G0S2 , polydatin still promoted fat decomposition (P < 0. 01) . Conclusion Polydatin promotes hepatic fat break⁃down by regulating the expression of G0S2 and ATGL , helping to alleviate metabolic disorders and liver damage in the NAFLD mouse model caused by a high⁃fat diet , offering a new strategy for treating NAFLD.

Artificial intelligence (AI) is revolutionizing the diagnosis and treatment of biliary diseases, shifting from experience-driven to data-driven approaches. By integrating multi-source data, AI demonstrates significant advantages in early diagnosis, personalized treatment, and prognosis management of biliary diseases. It not only enhances diagnostic accuracy and treatment precision, but also optimizes medical resource allocation and reduces medical costs. The authors systematically elaborate on the current application status and challenges faced by AI in the diagnosis and treatment of biliary diseases. It is believed that the problems, such as data barriers, algorithm limitations, and ethical issues faced in AI clinical applications, need to be solved by establishing a standardized data governance system, developing explainable deep learning models, and improving the medical AI ethical review mechanism. In the future, AI will become a core enabler in the biliary disease diagnosis and treatment ecosystem, driving the transition to knowledgeable healthcare and leading to a new era of precision medicine.

Artificial intelligence (AI) is revolutionizing the diagnosis and treatment of biliary diseases, shifting from experience-driven to data-driven approaches. By integrating multi-source data, AI demonstrates significant advantages in early diagnosis, personalized treatment, and prognosis management of biliary diseases. It not only enhances diagnostic accuracy and treatment precision, but also optimizes medical resource allocation and reduces medical costs. The authors systematically elaborate on the current application status and challenges faced by AI in the diagnosis and treatment of biliary diseases. It is believed that the problems, such as data barriers, algorithm limitations, and ethical issues faced in AI clinical applications, need to be solved by establishing a standardized data governance system, developing explainable deep learning models, and improving the medical AI ethical review mechanism. In the future, AI will become a core enabler in the biliary disease diagnosis and treatment ecosystem, driving the transition to knowledgeable healthcare and leading to a new era of precision medicine.

Objective:To explore differences in the clinical and pathological features and postoperative survival after radical resection of biliary tract cancer in different locations such as intrahepatic cholangiocarcinoma,perihilar cholangiocarcinoma,distal cholangiocarcinoma,and gallbladder cancer.Methods:This is a retrospective case series study. The clinical and pathological data of 4 852 patients with biliary tract cancer admitted to the Department of Hepatobiliary Surgery,the First Affiliated Hospital of Xi ′an Jiaotong University from January 2013 to December 2022 were retrospectively analyzed. Among them, 2 110(43.49%%) patients were male and 2 742(56.51%) patients were female,aged from 26 to 88 years with age of (61.3±10.8) years. Observation indicators: (1) The distribution,diagnosis and treatment of patients with biliary tract cancer; (2) Comparison of clinical and pathological features of patients with biliary tract cancer after curative-intent resection; (3) Survival analysis of patients with biliary tract cancer after curative-intent resection; (4) Analysis of effect on adjuvant therapy for patients with biliary tract cancer after curative-intent resection. One-way analysis of variance,Kruskal-Wallis H test and χ 2 test were used for among-group comparisons,respectively. Survival univariate analysis was performed using the Kaplan-Meier method and Log-rank test. Results:Among the 4 852 patients with biliary tract cancer,there were 2 303 cases (47.46%) of gallbladder cancer,952 cases (19.62%) of intrahepatic cholangiocarcinoma,892 cases (18.38%) of perihilar cholangiocarcinoma,and 705 cases(14.53%) of distal cholangiocarcinoma. From the perspective of the year of diagnosis and treatment,the overall number of patients diagnosed and treated for biliary tract cancer has shown an upward trend. From the perspective of diagnosis and treatment,the curative-intent resection rate was 33.37%(1 619/4 852),and the curative-intent resection rate of distal cholangiocarcinoma was higher than that of other biliary tract cancer ( χ2=23.897, P<0.01). Univariate analysis showed that there were statistical differences in gender,age,bile duct stones,total bilirubin at admission,carcinoembryonic antigen,CA19-9,CA125,the degree of pathological differentiation,vascular invasion,microvascular invasion,perineural invasion,surgical margins,pT staging,and pN staging among patients for biliary tract cancer in different locations (all P<0.05). Survival comparison analysis showed that recurrence-free survival and overall survival of patients with gallbladder cancer after curative-intent resection were significantly better than those of intrahepatic cholangiocarcinoma,perihilar cholangiocarcinoma,and distal cholangiocarcinoma ( χ 2=87.780,83.717,both P<0.01). Comparing the postoperative prognosis of patients with biliary tract cancer between the two periods of 2013 to 2017 and 2018 to 2022, the results showed that recurrence-free survival and overall survival of patients with biliary tract cancer from 2018 to 2022 were significantly better than those from 2013 to 2017 ( χ 2=31.202,25.615, both P<0.01),and the proportion of early recurrence and short-term death after curative-intent resection was significantly reduced ( χ 2=21.588,9.623, both P<0.01),with gallbladder cancer being the most significant ( P<0.01). Postoperative adjuvant therapy for patients with biliary tract cancer can effectively prolong recurrence-free survival and overall survival ( χ 2=5.033,11.273,both P<0.05). Conclusions:Gallbladder cancer remains the most common biliary tract cancer with a relatively favorable prognosis after radical resection. There are significant differences in the clinical and pathological features of biliary tract cancer in different locations,and patients with adjuvant therapy effectively improving prognosis.

Hepatocellular carcinoma(HCC)is a malignant tumor with high incidence and mortality rates,and although surgical resection is a possible method for cure,the prognosis of HCC is still affected by its high recurrence rate.Early recurrence(within 2 years after surgery)is defined as true recurrence and is usually caused by the intrahepatic spread of primary tumor.Early recurrence of HCC tends to have a poorer prognosis than late recurrence.Therefore,it is of great importance to fully understand the high-risk factors and prediction methods for early recurrence,which is essential to the selection of preoperative treatment regimens,postoperative follow-up,and prognosis.This article reviews the high-risk factors and prediction methods for early recurrence of HCC after surgery.

Liver cancer is still a major disease threatening the lives and health of the Chinese people. For early liver cancer with good liver functional reserve, surgical resection remains as the preferred treatment option. In the past several decades, great advances have been made in hepatectomy because of the refinement of surgical theories, advancements in surgical techniques, and improvements in surgical equipment. However, there are still different understandings in the academic community regarding whether to choose anatomic liver resection, how to choose the surgical margin, the design of surgical methods under the liver "territory theory", and the use of indocyanine green fluorescence imaging technology in liver cancer resection. The authors comprehensively review the current researches on the above issues and the research progress in hepatectomy for liver cancer, aiming to provide references for clinicians to optimize the surgical procedure.

Objective:To observe the effects of rolling manipulation with different durations on erector spinae muscle tonus and low back pain in patients with lumbar muscle strain and to explore the best duration for rolling manipulation in treating lumbar muscle strain. Methods:A total of 75 patients who met the inclusion criteria were randomized into a 5-minute rolling manipulation group,a 10-minute rolling manipulation group,and a 15-minute rolling manipulation group using the random number table method,with 25 cases in each group.All three groups were treated with the same rolling manipulation,while the treatment time was 5 min,10 min,and 15 min,respectively.The treatment was performed 3 times a week for 2 consecutive weeks.The muscle tonus of bilateral erector spinae and visual analog scale(VAS)score for low back pain were compared among the three groups before and after treatment. Results:A total of 63 patients completed the study.Before treatment and after the last treatment,there were no statistical differences in the muscle tonus of the left erector spinae and right erector spinae among the three groups(P>0.05).After the last treatment,bilateral erector spinae muscle tonus dropped compared with the baseline in all three groups(P<0.01).Before treatment and after the last treatment,there were no significant differences in comparing the low back pain VAS score among the three groups(P>0.05).After the last treatment,the VAS score for low back pain in all three groups decreased(P<0.01). Conclusion:Under the condition that the forward swing force is 50-70 N,the backward swing force is 20-40 N,and the frequency is 138 times/min,the 5-minute rolling manipulation can significantly reduce the muscle tonus of erector spinae and relieve low back pain.

Objective:To investigate the therapeutic effect and potential molecular mechanisms of cyclin-dependent kinase inhibitor-73 (CDKI-73), the Rab11 inhibitor, on liver fibrosis.Methods:Human LX2 cells were divided into four groups: negative control group, transforming growth factor-β (TGF-β) group, CDKI-73 group and TGF-β+ CDKI-73 group. Fifteen 5-week-old female C57 mice with body weight of (18.04±0.62) g were divided into 3 groups with 5 mice in each group: control group (intraperitoneal injection of olive oil + vehicle gavage), carbon tetrachloride (CCl 4) group (intraperitoneal injection of CCl 4 + vehicle gavage) and CCl 4+ CDKI-73 group (intraperitoneal injection of CCl 4+ CDKI-73 gavage). Another 15 5-week-old female C57 mice with body weight of (18.06±0.34) g were divided into 3 groups with 5 mice in each group: sham operation group (Sham), bile duct ligation (BDL) group + vehicle group (BDL+ vehicle gavage) and bile duct ligation+ CDKI-73 group (BDL+ CDKI-73 gavage). The expression of α-smooth muscle actin (α-SMA) and fibronectin(FN)in LX2 cells were analyzed by Western blot. Masson and Sirius red were used to examine the liver fibrosis after CDKI-73 treatment in vivo. Immunohistochemistry (IHC) was utilized to examine the expression of α-SMA in mice liver. Results:Collagen content assessed by Sirius red and Masson staining and α-SMA expression evaluated by IHC were all increased in CCl 4 group compared with control group ( q=38.47, 24.99, 36.79). Moreover, the collagen content and α-SMA expression in CCl 4 + CDKI-73 treatment group were obviously decreased compared with CCl 4 group ( q=24.72, 14.87, 27.50), and the differences were statistically significant (all P<0.001). Compared with Sham group, collagen content and α-SMA expression in bile duct ligation group were increased ( q=28.23, 41.01, 44.16). Furthermore, in BDL group, after treatment with CDKI-73, the collagen content and α-SMA expression were notably decreased ( q=22.88, 34.31 and 33.97, all P<0.001). Consistent with in vivo results, the relative expression levels of α-SMA and FN protein in TGF-β group were higher than those in TGF-β+ CDKI-73 group (α-SMA: 3.71±0.34 vs. 1.28±0.31; FN: 3.21±0.39 vs. 0.83±0.06, all P<0.001). The mRNA relative expression levels of α-SMA and FN in TGF-β group were higher than those in TGF-β+ CDKI-73 group, and the differences were statistically significant ( P<0.001). However, the relative expression of TGF-β receptor Ⅱ protein in CDKI-73 group was higher than those in negative control group (4.68±0.63 vs. 1.00±0.22, P=0.004). The relative expression level of phosphorylated SMAD2 in TGF-β+ CDKI-73 group was lower than those in TGF-β group (1.67±0.24 vs. 3.99±0.44, P<0.001). Transwell assay showed that 0.5 μmol/L CDKI-73 could effectively inhibit the migration of LX2 cells, and the inhibitory ability became stronger with the increase of CDKI-73 concentration. Conclusion:CDKI-73 can inhibit the activation of hepatic stellate cells and liver fibrosis by inhibiting Rab11-dependent TGF-β signaling pathway both in vivo and in vitro.

Objective:To investigate the establishment and application value of a radio-mics prediction model for lymph node metastasis of gallbladder carcinoma based on dual-phase enhanced computed tomography (CT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 194 patients with gallbladder carcinoma who were admitted to the First Affiliated Hospital of Xi'an Jiaotong University from January 2012 to December 2020 were collected. There were 70 males and 124 females, aged (64±10)years. All patients underwent curative-intent resection of gallbladder carcinoma. A total of 194 patients were randomly divided into 156 cases in training set and 38 cases in test set according to the ratio of 8:2 based on random number method in R software. The training set was used to establish a diagnostic model, and the test set was used to validate the diagnostic model. After the patients undergoing CT examination, image analysis was performed, radiomics features were extracted, and a radiomics model was established. Based on clinicopathological data, a nomogram prediction model was established. Observation indicators: (1) lymph node dissection and histopathological examination results; (2) establishment and characteristic analysis of a radiomics prediction model; (3) analysis of influencing factors for lymph node metastasis of gallbladder carcinoma; (4) establishment of a nomogram prediction model for lymph node metastasis; (5) comparison of the predictive ability between the radiomics prediction model and nomogram prediction model for lymph node metastasis. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were expressed as absolute numbers, and comparison between groups was performed by the chi-square test. Univariate analysis was conducted by the chi-square test, and multivariate analysis was performed by the Logistic regression model forward method. The receiver operating characteristic curve was drawn, and the area under curve, decision curve, confusion matrix were used to evaluate the predictive ability of prediction models. Results:(1) Lymph node dissection and histopathological examination results. Of the 194 patients, 182 cases underwent lymph node dissection, with the number of lymph node dissected as 8(range, 1?34) per person and the number of positive lymph node as 0(range, 0?11) per person. Postoperative histopathological examination results of 194 patients: 122 patients were in stage N0, with the number of lymph node dissected as 7(range, 0?27) per person, 48 patients were in stage N1, with the number of lymph node dissected as 8(range, 2?34) per person and the number of positive lymph node as 1(range, 1?3) per person, 24 patients were in stage N2, with the number of lymph node dissected as 11(range, 2?20) per person and the number of positive lymph node as 5(range, 4?11) per person. (2) Establishment and characteristic analysis of a radiomics prediction model. There were 107 radiomics features extracted from 194 patients, including 18 first-order features, 14 shape features and 75 texture features. According to the intra-group correlation coefficient and absolute median difference of each radiomics feature, mutual information, Select K-Best, least absolute shrinkage and selection operator regression were conducted to further reduce dimensionality. By further combining 5 different machine learning algorithms including random forest, gradient boosting secession tree, support vector machine (SVM), K-Nearest Neighbors and Logistic regression, the result showed that the Select K-Best_SVM model had the best predictive performance after analysis, with the area under receiver operating characteristic curve as 0.76 in the test set. (3) Analysis of influencing factors for lymph node metastasis of gallbladder carcinoma. Results of univariate analysis showed that systemic inflammation response index, carcinoembryonic antigen (CEA), CA19-9, CA125, radiological T staging and radiological lymph node status were related factors for lymph node metastasis of patients with gallbladder cancer ( χ2=4.20, 11.39, 5.68, 11.79, 10.83, 18.58, P<0.05). Results of multivariate analysis showed that carcinoembryonic antigen, CA125, radiological T staging (stage T3 versus stage T1?2, stage T4 versus stage T1?2), radiological lymph node status were independent influencing factors for lymph node metastasis of patients with gallbladder carcinoma [ hazard ratio=2.79, 4.41, 5.62, 5.84, 3.99, 95% confidence interval ( CI) as 1.20?6.47, 1.81?10.74, 1.50?21.01, 1.02?33.31, 1.87?8.55, P<0.05]. (4) Establishment of a nomogram prediction model for lymph node metastasis. A nomogram prediction model was established based on the 4 independent influencing factors for lymph node metastasis of gallbladder carcinoma, including CEA, CA125, radiological T staging and radiological lymph node status. The concordance index of the nomogram model was 0.77 (95% CI as 0.75?0.79) in the training set and 0.73 (95% CI as 0.68?0.72) in the test set, respectively. (5) Comparison of the predictive ability between the radiomics predic-tion model and nomogram prediction model for lymph node metastasis. The receiver operating characteristic curve showed that the areas under the curve of Select K-Best_SVM radiomics model were 0.75 (95% CI as 0.74?0.76) in the training set and 0.76 (95% CI as 0.75?0.78) in the test set, respectively. The areas under the curve of nomogram prediction model were 0.77 (95% CI as 0.76?0.78) in the training set and 0.70 (95% CI as 0.68?0.72) in the test set, respectively. The decision curve analysis showed that Select K-Best_SVM radiomics model and nomogram prediction model had a similar ability to predict lymph node metastasis. The confusion matrix showed that Select K-Best_SVM radiomics model had the sensitivity as 64.29% and 75.00%, the specificity as 73.00% and 59.09% in the training set and test set, respectively. The nomogram had the sensitivity as 51.79% and 50.00%, the specificity as 80.00% and 72.27% in the training set and test set, respectively. Conclusion:A dual-phase enhanced CT imaging radiomics prediction model for lymph node metastasis of gallbladder carcinoma is successfully established, and its predictive ability is good and consistent with that of nomogram.