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.

Aeromedical evacuation, a crucial method for casualty transport, significantly enhances survival rates by providing exceptionally rapid transfer and thus gaining valuable treatment time. However, due to the contamination risks during the transport of radioactively contaminated casualties, aeromedical evacuation has not been widely adopted for this specific scenario. This paper reviews the current status of aeromedical evacuation for radioactively contaminated casualties and identifies several challenges. These include incomplete evacuation procedures and regulatory frameworks, difficulties in rapid triage and classification, inadequate evacuation and loading equipment, and the complexity of managing specific injuries during flight. We propose corresponding strategies to address these issues, aiming to provide a reference and guidance for the advancement of aeromedical evacuation for radioactively contaminated casualties.

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.

Objective Ulcerative colitis(UC)is a chronic inflammatory bowel disease with a prolonged course and no cure.The purpose of this study was to systematically evaluate the clinical effect and safety of Bai-tou-weng-tang(BTW)combined with amino salicylic acid(ASA)in the treatment of UC.Methods The relevant Chinese and English databases were searched,and the eligible literatures were screened using inclusion and exclusion criteria and evaluated for quality.Relative risk(RRs),weight mean differences(WMDs)and 95％confidence intervals(CIs)were used to evaluate the clinical effect,safety and other indicators of different drugs for UC.Sensitivity analysis and publication bias were used to evaluate the stability of the results.Results A total of 61 clinical studies were included,involving 5483 patients with UC.The results of meta-analysis showed that BTW combined with ASA not only had better cure rate(RR=1.85,95％CI:1.62-2.10)and total efficiency rate(RR=1.23,95％CI:1.19-1.26),but also could reduce the incidence of adverse reactions(RR=0.61,95％CI:0.42 to 0.89)and recurrence rate(RR=0.33,95％CI:0.20 to 0.57).In addition,BTW combined with ASA had better efficacy in improving patients'syndrome,disease severity,intestinal mucosal score under colonoscopy,histopathological score and quality of life.Finally,BTW combined with ASA can regulate the levels of serum inflammatory factors and immunological indexes after treatment.Conclusion BTW combined with ASA can not only improve the clinical effect of UC patients,but also improve safety,which may be a new way to treat UC.

Objective Ulcerative colitis(UC)is a chronic inflammatory bowel disease with a prolonged course and no cure.The purpose of this study was to systematically evaluate the clinical effect and safety of Bai-tou-weng-tang(BTW)combined with amino salicylic acid(ASA)in the treatment of UC.Methods The relevant Chinese and English databases were searched,and the eligible literatures were screened using inclusion and exclusion criteria and evaluated for quality.Relative risk(RRs),weight mean differences(WMDs)and 95％confidence intervals(CIs)were used to evaluate the clinical effect,safety and other indicators of different drugs for UC.Sensitivity analysis and publication bias were used to evaluate the stability of the results.Results A total of 61 clinical studies were included,involving 5483 patients with UC.The results of meta-analysis showed that BTW combined with ASA not only had better cure rate(RR=1.85,95％CI:1.62-2.10)and total efficiency rate(RR=1.23,95％CI:1.19-1.26),but also could reduce the incidence of adverse reactions(RR=0.61,95％CI:0.42 to 0.89)and recurrence rate(RR=0.33,95％CI:0.20 to 0.57).In addition,BTW combined with ASA had better efficacy in improving patients'syndrome,disease severity,intestinal mucosal score under colonoscopy,histopathological score and quality of life.Finally,BTW combined with ASA can regulate the levels of serum inflammatory factors and immunological indexes after treatment.Conclusion BTW combined with ASA can not only improve the clinical effect of UC patients,but also improve safety,which may be a new way to treat UC.

Helminth infections may trigger host innate and adaptive immune responses. Group 2 innate lymphoid cells (ILC2) are an important factor involved in type 2 immune responses, and produce a large number of T helper 2 cell (Th2) cytokines following stimulation by interleukin (IL)-25, IL-33 and thymic stromal lymphopoietin (TSLP), which play a critical role in parasite clearance and tissue repair. Following helminth infections, autocrine factors, mast cells, enteric nervous system and Th2 cells have been recently found to be involved in regulation of ILC2. Unraveling the role of ILC2 in immune response against helminth infections is of great value for basic research and drug development. This review summarizes the research progress on ILC2 and its role in helminth infections.

Background Bromadiolone is the second-generation anticoagulant rodenticide widely used all over the world. Exposure to bromadiolone in early life stage can lead to neurodevelopmental toxicity, but its toxic mechanism of neurodevelopment is not clear so far. Objective To investigate the developmental neurotoxicity and mechanism of bromadiolone to zebrafish embryos. Methods Zebrafish embryos were randomly divided into four groups: a solvent control group (dimethylsulphoxide) and three bromadiolone exposure groups (0.39, 0.78, and 1.18 mg·L⁻¹). The exposure period was from 4 h to 120 h post-fertilization. The number of spontaneous movement per minute was recorded at 24 h post-treatment. The locomotor ability of zebrafish larvae and the activity of acetylcholinesterase (AChE) were tested at 120 h post-treatment. The relative expression levels of neurodevelopment-related genes (elavl3, gap43, mbp, and syn2a) were measured by fluorescence quantitative PCR. Results Compared with the control group, the number of spontaneous movement per minute at 24 h decreased significantly in the 1.18 mg·L⁻¹ bromadiolone exposure group (P<0.05). Compared with the control group, the total distance travelled of the zebrafish larvae in the 0.78 and 1.18 mg·L⁻¹ bromadiolone exposure groups decreased by 60% and 69% respectively (P<0.05, P<0.01), and the total movement time decreased by 34% and 65% respectively (P<0.05, P<0.01). The AChE activity in the 1.18 mg·L⁻¹ bromadiolone exposure group increased by 36% when compared with the control group (P<0.05). The fluorescence quantitative PCR results showed that compared with the control group, the expression levels of neurodevelopment-related genes elavl3, syn2a, and mbp were significantly down-regulated by 66%, 69%, and 65% in the 1.18 mg·L⁻¹ bromadiolone exposure group respectively (P<0.01), the expression level of gap43 was up-regulated by 56% in the 0.78 mg·L⁻¹ bromadiolone exposure group (P<0.01) and down-regulated by 34% in the 1.18 mg·L⁻¹ bromadiolone exposure group (P<0.05). Conclusion Bromadiolone exposure could inhibit spontaneous movement and locomotive behavior, down-regulate the expression levels of neurodevelopment-related genes, hinder the release of neurotransmitters, and result in neurodevelopmental toxicity in the early-staged zebrafish.

Objective To summary the pathological and clinical characteristics,treatments and prognosis of malignant renal perivascular epithelioid cell tumor (PEComa).Methods Between August 2013 and June 2017,8 cases of malignant renal PEComa were analysed respectively.Of all the patients,there were 4 males and 4 females,aged 27-65 years with the average of 46.3 years old.Three cases were detected in routine examination occasionally,three cases complained of intermittent back pain with fever,one presented with swollen and painful right hand and right foot,and one case presented with hematuria.CT or MRI examinations indicated the malignant lesions before the surgery.Clinical staging was performed with 2 cases of T1N0M0,1 case of T1 N0M1,2 cases of T2N0M0,1 case of T3M0M0,and 2 cases of T4N0M1.Three cases underwent radical nephrectomy,1 case underwent radical nephrectomy plus renal artery embolization,2 cases underwent partial nephrectomy,and 2 cases underwent nephrectomy plus inferior vena cava tumor thrombectomy.One case was treated with ifosfamide plus epirubicin after operation due to multiple distant metastases and 1 case was treated with oxaliplatin before the sugery because of excessive tumor diameter.None of the rest received any adjuvant therapy.Results Postoperative histopathological examination showed multiple nodules in reddish gray and yellow color,with soft texture and partial incomplete capsule.Microscopically,there were large atypical cell components,some of which were spindle shaped,with disordered cell arrangement,some of which were associated with a large amount of necrotic tissue,and abundant light eosinophil cytoplasm.Tissue components can be found thick-wall blood vessels,smooth muscle-like cells,and adipose tissue.Immunohistochemistry showed 4 cases were positive of HMB-45,4 of Melan-A,7 of SAM.Seven cases were negative of CK,6 of S-100 75％ (6/8) and Ki67 (10％-70％).Two cases died of multiple metastases (lung,bone,liver),1 case survived with tumor recurrence,with a follow-up from 14 to 60 months (mean 29 months).Conclusions Primary malignant renal PEComa is rare in practice with relative large diameter.The diagnosis depends on pathological findings,and radical nephrectomy is the first choice of treatment.It is easy to recur and metastasize after the operation.

Non-small cell lung cancer (NSCLC) accounts for 85% of total cases of lung cancer, which has the highest incidence and mor-tality in China. Most patients with lung cancer present with advanced stage disease at the time of diagnosis. With the limited develop-ment of cytotoxic chemotherapy for NSCLC therapy, median overall survival in patients receiving platinum-based doublet chemothera-py has been less than one year in several trials. To date, anti-angiogenesis agents combined with chemotherapy, small molecule tyro-sine kinase inhibitors (TKI) and immune checkpoint inhibitors were commonly applied in NSCLC instead of purely chemotherapy, which makes a great breakthrough in NSCLC therapy. This review summarizes and discusses the application of anti-angiogenic therapy in ad-vanced NSCLC.

Objective To discuss the pathological and clinical characteristics,treatments and prognosis of schwannoma of the kidney.Methods Two cases of schwannoma of the kidney in our hospital were reviewed with clinicopathological data and their follow-up.The related literatures were reviewed.The first case was a male patient,28 years old,complained about paroxysmal abdominal pain with nausea over 2 weeks.The physical exam found a 10 cm,qualitative hard,poor activity,tenderness mass in kidney region.MRI preoperative diagnosis was right renal cell carcinoma with renal vein and inferior vena cava tumor thrombus formation.The second patient,female,53 years old,the mass on upper right kidney was found occasionally.It was diagnosed as adrenal pheochromocytoma before operation,laparoscopic resection of right renal hilum mass and right partial adrenectomy plus right nephrectomy were performed.There was no tumor recurrence in the follow-up.Results The abdominal aortography and double renal arteriography were done and right renal artery embolization and inferior vena cava filter were allocated.Then right radical nephrectomy and inferior vena cava tumor thrombus removal were carried out on the first patient.The first malignant and the second benign renal schwannoma patient showed significant difference in pathological presentations.Their immunohistochemistry also showed great diversity.Malignant renal schwannoma was significantly stained by Ki-67 ＞ 40％,S-100 was negative.Ki-67 in benign neurilemmomas was about 2％,and S-100 in benign renal schwannoma was positive.Conclusions Schwannoma of the kidney is rare with a favorable prognosis.The golden standard of diagnosis is pathology.Surgical resection has become the first choice for treatment.Recurrence and malignant transformation would happen after the surgery so that all the patients should be followed up.