Objective To analyze the epidemiological characteristics and molecular subtypes of typhoid and paratyphoid fever in Dalian, and to provide scientific basis for the development of effective prevention and control measures for typhoid and paratyphoid fever. Methods Descriptive epidemiological methods were used to analyze the data of typhoid and paratyphoid reported in Dalian from 2019 to 2023. Pulsed field gel electrophoresis (PFGE) was used for bacterial molecular typing and cluster analysis of the homology of strains. Results A total of 32 cases of typhoid and paratyphoid fever were reported in Dalian from 2019 to 2023. There was no statistically significant difference in the incidence rate between years ( χ²=4.41, P>0.05). There were two peaks in the time distribution. The age of onset was between 30 and 69 years old, and the difference in sex ratio between men and women was statistically significant ( χ²=4.00, P<0.05). The top two occupations with the highest number of cases of typhoid and paratyphoid fever were retired people, housework and unemployed, and the difference in the incidence rate among occupations was not statistically significant (χ²=4.59, P>0.05). PFGE experiment results showed that 32 typhoid and paratyphoid strains isolated from patients can be divided into 25 types. Conclusion The typhoid fever epidemic in Dalian remains stable at a relatively low level from 2019 to 2023. The PFGE banding patterns are relatively scattered, but there are dominant subtypes among them, which may be local epidemic strains.

ObjectiveTo explore the mechanism of Yinchenhao Tang regulating the tumor necrosis factor receptor superfamily member 6 （Fas）/cysteine protease-8 （Caspase-8）/cysteine protease-3 （Caspase-3） signaling pathway to inhibit hepatocyte apoptosis and improve cholestatic liver injury （CLI）. MethodsAmong 48 Wistar rats，12 rats were randomly selected as the blank group，and the other rats were administered alpha-naphthalene isothiocyanate （ANIT） by gavage to induce a CLI model. The modeling rats were randomly divided into the model group， the ursodeoxycholic acid group（0.1 g·kg^-1） and the Yinchenhao Tang group（9.23 g·kg^-1），with 12 rats in each group. The rats in each group were given corresponding drugs by gavage for three consecutive days. The levels of alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），gamma-glutamyl transpeptidase （γ-GT），total bilirubin （TBil） and total bile acid （TBA） in serum were detected. The levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in liver tissue were detected. The histopathological changes of the liver were observed by hematoxylin-eosin （HE） staining. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3，B-cell lymphoma-2 （Bcl-2） associated X protein （Bax） and Bcl-2 in liver tissue were detected by Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with those in the blank group，the levels of ALT，AST，ALP，γ-GT，TBA and TBil in serum of the model group were significantly increased （P<0.01）. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly increased （P<0.01）. The arrangement of hepatocytes was disordered，and inflammatory cell infiltration and bile duct epithelial cell proliferation were observed. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly increased（P<0.05，P<0.01），while the protein and mRNA expressions of Bcl-2 were significantly decreased （P<0.05，P<0.01）. Compared with those in the model group，the levels of ALP，γ-GT，TBA and TBil in the serum of rats in the ursodeoxycholic acid group were significantly decreased. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly decreased（P<0.05，P<0.01）. The protein and mRNA expressions of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly decreased （P<0.05，P<0.01），while the mRNA expression of Bcl-2 was significantly increased （P<0.05，）. The levels of ALT，AST，γ-GT，TBA and TBil in the serum of rats in the Yinchenhao Tang group were significantly decreased （P<0.01）. The levels and mRNA expressions of TNF-α and IL-1β in liver tissue were significantly decreased （P<0.05，P<0.01）. The protein expression of Fas and Bax and the mRNA expression of Fas，Caspase-8，Caspase-3 and Bax in liver tissue were significantly decreased （P<0.05，P<0.01），while the protein and mRNA expression of Bcl-2 were significantly increased （P<0.05，P<0.01）. Hepatocyte injury，inflammatory cell infiltration and proliferation of bile duct epithelial cells were reduced. ConclusionYinchenhao Tang can ameliorate CLI，and its mechanism may be related to inhibiting hepatocyte apoptosis mediated by the Fas/Caspase-8/Caspase-3 signaling pathway.

ObjectiveTo study the mechanism of Yinchenhao Tang on the improvement of cholestatic liver injury （CLI） by inhibiting toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear transcription factor-κB （NF-κB） pathway via regulating farnesol X receptor （FXR）. MethodsA total of 40 Wistar male rats were randomly selected， with 10 as a blank group，and the remaining rats were subjected to the CLI model induced by alpha-naphthalene isothiocyanate （ANIT）. After modeling，they were randomly divided into the model group， the ursodeoxycholic acid （0.1 g·kg^-1） group and the Yinchenhao Tang （9.23 g·kg^-1） group，with 10 animals in each group. Each administration group was given the corresponding drug by intragastric administration for three consecutive days. Alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），γ-glutamyl transpeptidase （γ-GT），total bile acid （TBA），total bilirubin （TBil） and direct bilirubin （DBil） levels in serum were detected. Tumor necrosis factor-α （TNF-α），interleukin-1β （IL-1β），and interleukin-6 （IL-6） levels in liver tissue were detected. Real-time PCR was used to detect the mRNA expression of FXR，TLR4，MyD88，NF-κB，F4/80，TNF-α，IL-1β and IL-6 in liver tissue. Western blot was used to detect protein expression of FXR，TLR4，MyD88 and NF-κB in liver tissue. The histopathological changes of the liver were observed by hematoxylin-eosin （HE） staining. ResultsCompared with those in the blank group，ALT，AST，ALP，γ-GT，TBA，TBil and DBil levels in serum of rats in the model group were significantly increased （P<0.01）. The levels and mRNA expression of TNF-α，IL-1β and IL-6 in liver tissue were significantly increased （P<0.01），and the mRNA and protein expressions of FXR in liver tissue were decreased （P<0.01）. The mRNA and protein expressions of TLR4，MyD88 and NF-κB and the mRNA expression of F4/80 were obviously increased （P<0.05，P<0.01）. Hepatic histopathology showed inflammatory cell infiltration and proliferative changes of bile duct epithelial cells. Compared with those in the model group，ALT，ALP，γ-GT，TBA，TBil and DBil levels in serum of rats in the ursodeoxycholic acid group were obviously decreased （P<0.05，P<0.01），and the levels and mRNA expression of TNF-α，IL-1β and IL-6 in liver tissue were obviously decreased （P<0.05，P<0.01）. The mRNA and protein expressions of TLR4，MyD88 and NF-κB and the mRNA expression of F4/80 in liver tissue were obviously decreased （P<0.05，P<0.01）. ALT，AST，ALP，γ-GT，TBA，TBil and DBil levels in the serum of rats in the Yinchenhao Tang group were obviously decreased （P<0.05，P<0.01），and the levels and mRNA expression of TNF-α，IL-1β and IL-6 in liver tissue were obviously decreased （P<0.01）. The mRNA and protein expressions of FXR in liver tissue were significantly increased，and the mRNA expressions of TLR4，MyD88，NF-κB，and F4/80， as well as the protein expressions of TLR4 and NF-κB were obviously decreased （P<0.05，P<0.01）. The inflammatory cell infiltration of liver tissue and the proliferation of bile duct epithelial cells decreased. ConclusionYinchenhao Tang has an obvious protective effect on CLI，and its mechanism may be related to regulating FXR to inhibit TLR4/MyD88/NF-κB pathway-mediated inflammatory response.

ObjectiveTo explore the mechanism by which Yinchenhao Tang intervenes in α-naphthylisothiocyanate （ANIT）-induced cholestatic liver injury by regulating the Takeda G-protein-coupled receptor 5（TGR5）/NOD-like receptor protein 3（NLRP3）/cysteine aspartate-specific protease-1 （Caspase-1） pyroptosis signaling pathway. MethodsForty male Wistar rats were randomly assigned into blank， model， ursodeoxycholic acid， and Yinchenhao Tang groups. Except the blank group， other groups were treated with ANIT dissolved in olive oil for the modeling of cholestatic liver injury. Ursodeoxycholic acid （0.1 g·kg^-1） and Yinchenhao Tang （9.23 g·kg^-1） were administered by gavage. The blank group and the model group were administrated with the same amount of pure water， once a day for 3 days. The blood and liver tissue samples were collected， and the serum levels of liver function indicators were measured by an automatic biochemical analyzer. Hematoxylin-eosin staining was employed to observe the pathological changes of the liver. The levels of interleukin （IL）-1β and IL-18 in the liver tissue were determined by ELISA. The mRNA levels of IL-1β， IL-18， TGR5， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， Caspase-1， and GSDMD in the liver tissue were assessed by Real-time PCR. The protein levels of TGR5， NLRP3， ASC， Caspase-1， and GSDMD in the liver tissue were determined by Western blot. ResultsCompared with the blank group， the model group showed elevated levels of alanine amino-transferase （ALT）， aspartate transferase （AST）， alkaline phosphatase （ALP）， total bile acid （TBA）， and total bilirubin （TBil） in the serum （P<0.01）， inflammatory cell infiltration， hepatocyte swelling， and bile duct epithelial cell proliferation in the liver， raised levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA and protein levels of TGR5 （P<0.01）， up-regulated mRNA levels of IL-18 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， IL-1β （P<0.05）， and NLRP3 （P<0.05）， and up-regulated protein levels of NLRP3 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， and GSDMD （P<0.05）. Compared with the model group， the ursodeoxycholic acid group showed declined levels of AST （P<0.01）， TBA （P<0.01）， TBil （P<0.01）， and ALT （P<0.05） in the serum， lowered levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA levels of NLRP3 （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， IL-1β （P<0.05）， IL-18 （P<0.05）， and ASC （P<0.05）， up-regulated mRNA and protein levels of TGR5 （P<0.05）， and down-regulated protein levels of NLRP3， ASC， Caspase-1， and GSDMD （P<0.05）. Compared with the model group， the Yinchenhao Tang group showed lowered levels of ALT， AST， ALP， TBA， and TBil in the serum （P<0.01）， declined levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA levels of IL-1β （P<0.01）， NLRP3 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， and IL-18 （P<0.05）， up-regulated mRNA and protein levels of TGR5 （P<0.01）， and down-regulated protein levels of Caspase-1 and GSDMD （P<0.05）. The liver tissue of the administration groups showed reduced infiltration of inflammatory cells， reduced swelling of hepatocytes， and alleviated proliferation of bile duct epithelial cells. ConclusionYinchenhao Tang can ameliorate ANIT-induced cholestatic liver injury by regulating the hepatocyte pyroptosis mediated by the TGR5/NLRP3/Caspase-1 signaling pathway.

Cholestatic liver injury refers to the bile production， secretion， and excretion disorder caused by various reasons. It induces liver injury， metabolic disorders， and dysfunction of the hepatobiliary system， which can further develop into liver fibrosis， cirrhosis， liver failure， and even death. At present， the preferred drug for clinical treatment is ursodeoxycholic acid， which， however， induces adverse reactions and is intolerant in some patients. Yinchenhao Tang is a representative prescription of traditional Chinese medicine for the treatment of jaundice due to Yang jaundice. It has the effects of clearing heat， eliminating dampness， and removing jaundice and has shown good therapeutic effect in long-term clinical application. Modern pharmacological studies have found that this prescription has anti-inflammatory， anti-oxidation， bile acid balance-regulating， hepatocyte apoptosis-inhibiting and other liver-protecting effects. This paper reviews the relevant clinical and animal experimental studies on Yinchenhao Tang in the treatment of cholestatic liver injury in recent years. Yinchenhao Tang can intervene in the progression of cholestatic liver injury by regulating bile acid metabolism and excretion， reducing inflammatory response， inhibiting oxidative stress， alleviating endoplasmic reticulum stress， inhibiting hepatocyte apoptosis， and protecting intestinal mucosal barrier. This paper systematically expounds the molecular mechanisms by which Yinchenhao Tang regulates cholestatic liver injury that are confirmed by current research， aiming to provide reference for the clinical application and in-depth study of Yinchenhao Tang.

Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Non-small cell lung cancer(NSCLC)is one of the most common and deadly malignant tumors worldwide,with surgical resection being the primary treatment for early-stage NSCLC.Tumor spread through air spaces(STAS)is a novel pattern of tumor dissemination into the air spaces in the lung.Its occurrence after sublobar resection is closely associated with recurrence and distant metastasis,making its con-sideration a vital factor in surgical strategy selection and prognostic evaluation.Patients with STAS-positive status exhibit significantly higher postoperative recurrence rates than do STAS-negative patients,with molecular mechanisms involving tumor microenvironment remodeling,specific genetic mutations,and epithelial-mesenchymal transition(EMT).Imaging techniques including computed tomography(CT)and positron emission tomography/CT have shown potential for preoperative STAS prediction,although their accuracy and practicality require improvement.This paper reviews the definition,pathological characteristics,and related mechanisms of STAS,with a focus on surgical ap-proach selection for STAS-positive patients and its role in cancer recurrence after sublobar resection of early-stage NSCLC.Future research directions include optimization of preoperative diagnostic methods for STAS,exploration of molecular targeted therapies,and development of imaging-based precision prediction models.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.