Objective To develop and compare the predictive performance of five machine learning models for adverse postoperative outcomes in cardiac surgery patients, and to identify key decision factors through SHapley Additive exPlanations (SHAP) interpretability analysis. Methods A retrospective collection of perioperative data (including demographic information, preoperative, intraoperative, and postoperative indicators) with 88 variables was conducted from adult cardiac surgery patients at the First Affiliated Hospital of Xinjiang Medical University in 2023. Adverse postoperative outcomes were defined as the occurrence of acute kidney injury and/or in-hospital mortality during the postoperative hospitalization period following cardiac surgery. Patients were divided into an adverse outcome group and a favorable outcome group based on the presence of adverse postoperative outcomes. After screening feature variables using the least absolute shrinkage and selection operator (LASSO) regression method, five machine learning models were constructed: eXtreme gradient boosting (XGBoost), random forest (RF), gradient boosting machine (GBM), light gradient boosting machine (LightGBM), and generalized linear model (GLM). The dataset was randomly divided into a training set and a test set at a 7 : 3 ratio using stratified sampling, with postoperative outcome as the stratification factor. Model performance was evaluated using receiver operating characteristic curves, decision curve analysis, and F1 Score. The SHAP method was applied to analyze feature contribution. Results A total of 639 patients were included, comprising 395 males and 244 females, with a median age of 62 (55, 69) years. The adverse outcome group consisted of 191 patients, while the favorable outcome group included 448 patients, resulting in an adverse postoperative outcome incidence of 29.9%. Univariate analysis showed no significant differences between the two groups for any variables (P>0.05). Using LASSO regression, 16 feature variables were selected (including cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, systemic inflammatory response index, etc.), and five machine learning models (GLM, RF, GBM, LightGBM, XGBoost) were constructed. Evaluation results demonstrated that the XGBoost model exhibited the best predictive performance on both the training set (n=447) and test set (n=192), with area under the curve values of 0.761 [95%CI (0.719, 0.800) ] and 0.759 [95%CI (0.692, 0.818) ], respectively. It also significantly outperformed other models in positive predictive value, and balanced accuracy in the test set. Decision curve analysis further confirmed its clinical utility across various risk thresholds. SHAP analysis indicated that variables such as cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, and inflammatory markers (SIRI, NLR, CAR) had high contributions to the prediction. Conclusion The XGBoost model effectively predicts adverse postoperative outcomes in cardiac surgery patients. Clinically, attention should be focused on cardiopulmonary bypass support time, postoperative blood glucose control, and monitoring of inflammatory levels to improve patient prognosis.

The global incidence rate of cancer is increasing yearly,and chemotherapy-induced gastrointestinal mucosal injury has become a crucial factor affecting patients'therapeutic prognosis;however,there is currently a lack of effective therapeutic drugs to address this issue.There is thus an urgent need to establish more ideal animal models of chemotherapy-induced gastrointestinal mucosal injury,to support the exploration of its pathogenesis and the development of therapeutic drugs.This review considered relevant literature published during the period from 2019 to 2024,to provide a comprehensive summary and analysis from several perspectives,including the selection of experimental animals,chemotherapeutic drugs and modeling method,evaluation indicators,and practical applications.Furthermore,we highlight several existing issues with current models,including the lack of standardized modeling method,insufficient research on models with a tumor background,and inadequate exploration of novel cell death mechanisms.This collation of the literature also revealed the gradual emergence of traditional Chinese medicine as a research hotspot,with potential for the treatment of gastrointestinal mucosal injury.Further studies of effective medicines are warranted to identify interventional strategies for chemotherapy-induced gastrointestinal mucosal injury.

The global incidence rate of cancer is increasing yearly,and chemotherapy-induced gastrointestinal mucosal injury has become a crucial factor affecting patients'therapeutic prognosis;however,there is currently a lack of effective therapeutic drugs to address this issue.There is thus an urgent need to establish more ideal animal models of chemotherapy-induced gastrointestinal mucosal injury,to support the exploration of its pathogenesis and the development of therapeutic drugs.This review considered relevant literature published during the period from 2019 to 2024,to provide a comprehensive summary and analysis from several perspectives,including the selection of experimental animals,chemotherapeutic drugs and modeling method,evaluation indicators,and practical applications.Furthermore,we highlight several existing issues with current models,including the lack of standardized modeling method,insufficient research on models with a tumor background,and inadequate exploration of novel cell death mechanisms.This collation of the literature also revealed the gradual emergence of traditional Chinese medicine as a research hotspot,with potential for the treatment of gastrointestinal mucosal injury.Further studies of effective medicines are warranted to identify interventional strategies for chemotherapy-induced gastrointestinal mucosal injury.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

Objective To establish a human α-synuclein nuclear localization signal transgenic mouse model and investigate the effects of α-synuclein nuclear localization on the behavior of mice.Methods Human α-synuclein nuclear localization signal and EGFP lentiviral vectors were constructed.Transgenic mice were created with the microinjection method.Using PCR and Western Blot method to identify the genotypes and protein expression of the transgenic founder mice and their offsprings.The immunofluorescence was used to examine the localization of human α-synuclein in the mouse brain tissue.The behavioral changes of the transgenic mice were evaluated by the open field test,rotarod test,and O maze test.Results The h SNCA-NLS gene was successfully inserted into the mouse genome,the human α-syn was successfully expressed,and the human α-syn has localized with the nuclear.Further studies found that human α-synuclein nuclear localization signal transgenic mice had significant motor dysfunction,astrocyte proliferation and inflammatory response at 2 months of age and exhibited significant anxiety-like symptoms and reduced expression of the γ-aminobutyric acid(GABA)gene at 9 months of age,which persisted until 12 months of age.Conclusions A human α-synuclein nuclear localization signal transgenic mouse model has been successfully established.The mice exhibit significant motor dysfunction and anxiety-like symptoms.The successful establishment of this model provides a foundation for studying the role of α-syn nuclear localization in Parkinson's disease.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

Objective:To investigate the MRI features of fibro-adipose vascular anomaly (FAVA).Methods:The clinical, pathological and MRI data of the FAVA patients confirmed clinically and pathologically in Henan Provincial People’s Hospital from January 2016 to June 2021 were retrospectively analyzed, including 17 females and 13 males, aged 4-53 (18.5±12.8) years.Through the analysis of the MRI images of FAVA performance, including the lesion area, shape, signal, the degree of reinforcement, inner structure, outer structure and other image characteristics, summarize the MRI features.Results:The lesions located at the lower leg (12 cases), thigh (12 cases), upper arm (4 cases), forearm (1 case) and trunk (1 case). Twenty-four case of lower limbs. All cases involved the muscular layer, including 21 cases of superficial muscle layer, 7 cases of deep muscle layer, and 2 cases of both. Twenty-three cases of superficial muscle layer. Most of the affected muscles were quadriceps femoris and gastrocnemius. Morphology: all lesions were intramuscular solid masses growing parallel to the long axis of the muscle. There were 11 cases of focal type, 11 cases of locally infiltrating type, and 8 cases of diffuse type. MRI findings: all lesions showed mixed signal. On T1WI, 28 cases showed cloud-like, band-like and patchy high signal on the background of medium and high signal. On T2WI-FS, all the 30 cases showed low to medium signal areas on the background of high signal, which were dendrimer, ribbon and cloud-like. The lesions showed moderate to obvious heterogeneous progressive enhancement. Twenty-seven lesions had different shapes of vascular shadow, and 28 lesions had drainage vein shadow adjacent to the lesions, 24 of which were located at the proximal end of the lesions. Fascial tail sign was found at the periphery of the lesions in 26 cases, of which 23 cases were located at the upper and lower ends of the lesions.Conclusion:FAVA is a complex vascular malformation with unclear pathological classification. MRI usually shows a solid mass in the superficial muscle layer of the lower limbs parallel to the long axis of the muscle, with cloud-like, band-like, and patchy hyperintensity on the background of high signal on T1WI, and dendritic, band-like, and cloud-like hypointensity on the background of high signal on T2WI-FS, which is helpful for the diagnosis of FAVA. Combined with the data of fascial tail sign, draining vein and clinical manifestations, the diagnosis of FAVA can be confirmed to a certain extent, which can provide reference and basis for clinical decision making.

Objective:To investigate the MRI features of fibro-adipose vascular anomaly (FAVA).Methods:The clinical, pathological and MRI data of the FAVA patients confirmed clinically and pathologically in Henan Provincial People’s Hospital from January 2016 to June 2021 were retrospectively analyzed, including 17 females and 13 males, aged 4-53 (18.5±12.8) years.Through the analysis of the MRI images of FAVA performance, including the lesion area, shape, signal, the degree of reinforcement, inner structure, outer structure and other image characteristics, summarize the MRI features.Results:The lesions located at the lower leg (12 cases), thigh (12 cases), upper arm (4 cases), forearm (1 case) and trunk (1 case). Twenty-four case of lower limbs. All cases involved the muscular layer, including 21 cases of superficial muscle layer, 7 cases of deep muscle layer, and 2 cases of both. Twenty-three cases of superficial muscle layer. Most of the affected muscles were quadriceps femoris and gastrocnemius. Morphology: all lesions were intramuscular solid masses growing parallel to the long axis of the muscle. There were 11 cases of focal type, 11 cases of locally infiltrating type, and 8 cases of diffuse type. MRI findings: all lesions showed mixed signal. On T1WI, 28 cases showed cloud-like, band-like and patchy high signal on the background of medium and high signal. On T2WI-FS, all the 30 cases showed low to medium signal areas on the background of high signal, which were dendrimer, ribbon and cloud-like. The lesions showed moderate to obvious heterogeneous progressive enhancement. Twenty-seven lesions had different shapes of vascular shadow, and 28 lesions had drainage vein shadow adjacent to the lesions, 24 of which were located at the proximal end of the lesions. Fascial tail sign was found at the periphery of the lesions in 26 cases, of which 23 cases were located at the upper and lower ends of the lesions.Conclusion:FAVA is a complex vascular malformation with unclear pathological classification. MRI usually shows a solid mass in the superficial muscle layer of the lower limbs parallel to the long axis of the muscle, with cloud-like, band-like, and patchy hyperintensity on the background of high signal on T1WI, and dendritic, band-like, and cloud-like hypointensity on the background of high signal on T2WI-FS, which is helpful for the diagnosis of FAVA. Combined with the data of fascial tail sign, draining vein and clinical manifestations, the diagnosis of FAVA can be confirmed to a certain extent, which can provide reference and basis for clinical decision making.

In order to improve the operation difficulties in the narrow space of the nasal maxillary sinus, the nasal continuum minimally invasive surgical robot system is designed. The ball-and-socket joints and NiTiNol tubes are used as the main body of the continuum structure to improve the degree of freedom. The hardware systems and software systems are designed. The security control policies are planned. Finally, the robot confirmed prototype experiments are conducted and the feasibility of continuum robot confirmed through master-slave control experiment and animal experiment.
Animals ; Biomechanical Phenomena ; Equipment Design ; Minimally Invasive Surgical Procedures ; Robotic Surgical Procedures ; Robotics ; Software

BACKGROUND:CTLA-4Ig as a tolerance-induction agent is a potential strategy in graft-versus-host disease prevention. OBJECTIVE:To investigate the efficacy of CTLA4Ig-gene-modified bone marrow stromal cels mediated by adenovirus to induce T-cel tolerance of haploidentical donors. METHODS: The bone marrow stromal cels isolated culture from the bone marrow of HLA haploidentical donors were transfected by recombinant adenovirus encoding CTLA4IgcDNA (AdCTLA4Ig) at a multiplicity of infection=50 for 72 hours. The expression rate and the location of CTLA4Ig in the transfected cels were detected by fluorescence microscope after immunofluorescence staining. CTLA4Ig-modified bone marrow stromal cels (2×104, 4×104and 8×104) were respectively co-cultured with 105 T cels from the peripheral blood of HLA haploidentical donors and 105 peripheral blood mononuclear cels from recipients. The proliferative inhibition rate was determined by MTT assay, and the level of interleukin-2 in the supernatant was detected by ELISA. The bone marrow mononuclear cels (1×105/wel) were co-cultured with CTLA4Ig-modified bone marrow stromal cel layers constructed in 6-wel plates. The number of bone marrow mononuclear cels and colony-forming unit-granulocyte macrophages were calculated after 5-day culture. RESULTS AND CONCLUSION: The expression rate of CTLA4Ig at the multiplicity of infection=50 was as high as 85%, and the immunofluorescence signals of CTLA4Ig were distributed unevenly in the cytoplasm. The inhibition rates of 2×104, 4×104, and 8×104 CTLA4Ig-modified bone marrow stromal cels on proliferation of T cels were higher than that of untransfected cels. The levels of interluekin-2 in the corresponding cel groups were significantly lower than that in the untransfected cels (P < 0.05). At 5 days of culture, there was no significant difference in the number of bone marrow mononuclear cels and colony-forming unit-granulocyte macrophages between the transfected and untransfected cel groups (P > 0.05). These findings indicate that CTLA4Ig-modified bone marrow stromal cels mediated by adenovirus can induce immune tolerance of T-lymphocyte from HLA haploidentical donors in vitro.