Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Objectives:To analyze the clinical application effect of the preloaded snare technique in patients with risk of atrial septal occluder migration during percutaneous atrial septal defect(ASD)occlusion.Methods:The clinical data of 24 patients with secundum ASD who underwent preloaded snare-assisted transcatheter closure in Fuwai Central China Cardiovascular Hospital between December 2022 and August 2024 were retrospectively analyzed.The preprocedural echocardiography revealed that all patients presented with large secundum ASD or insufficient margins,indicating potential risk of device migration during percutaneous ASD occlusion.Consequently,preloaded snare technique was applied for ASD closure.Postprocedural evaluations were conducted to assess device stability(migration or shedding),residual shunt,pericardial effusion,and new-onset arrhythmia during the procedure,immediately after intervention,and at 1-month follow-up.Results:Among 24 patients,there were 4 males,with an average age of(37.88±13.18)years and an average weight of(59.70±10.78)kg.Twenty-two cases underwent successful interventional closure.Two cases occurred atrial septal occluder migration during the procedure,both were successfully retrieved using the preloaded snare and subsequently scheduled for surgical repair.Postprocedural electrocardiograms and echocardiograms(obtained immediately and at 1-month follow-up)demonstrated no device migration,residual shunt,occluder dislodgement,pericardial effusion,or new-onset arrhythmias.Conclusions:The preloaded snare technique can reduce the risk of atrial septal occluder migration and shedding,simplify the process of retrieving the occluder,enhance the safety of the intervention,and avoid emergency surgical intervention in high-risk populations.

Objectives:To analyze the clinical application effect of the preloaded snare technique in patients with risk of atrial septal occluder migration during percutaneous atrial septal defect(ASD)occlusion.Methods:The clinical data of 24 patients with secundum ASD who underwent preloaded snare-assisted transcatheter closure in Fuwai Central China Cardiovascular Hospital between December 2022 and August 2024 were retrospectively analyzed.The preprocedural echocardiography revealed that all patients presented with large secundum ASD or insufficient margins,indicating potential risk of device migration during percutaneous ASD occlusion.Consequently,preloaded snare technique was applied for ASD closure.Postprocedural evaluations were conducted to assess device stability(migration or shedding),residual shunt,pericardial effusion,and new-onset arrhythmia during the procedure,immediately after intervention,and at 1-month follow-up.Results:Among 24 patients,there were 4 males,with an average age of(37.88±13.18)years and an average weight of(59.70±10.78)kg.Twenty-two cases underwent successful interventional closure.Two cases occurred atrial septal occluder migration during the procedure,both were successfully retrieved using the preloaded snare and subsequently scheduled for surgical repair.Postprocedural electrocardiograms and echocardiograms(obtained immediately and at 1-month follow-up)demonstrated no device migration,residual shunt,occluder dislodgement,pericardial effusion,or new-onset arrhythmias.Conclusions:The preloaded snare technique can reduce the risk of atrial septal occluder migration and shedding,simplify the process of retrieving the occluder,enhance the safety of the intervention,and avoid emergency surgical intervention in high-risk populations.