BACKGROUND Radiomics has been used in the diagnosis of cirrhosis and prediction of its associated complications.However,most current studies predict the risk of esophageal variceal bleeding(EVB)based on image features...BACKGROUND Radiomics has been used in the diagnosis of cirrhosis and prediction of its associated complications.However,most current studies predict the risk of esophageal variceal bleeding(EVB)based on image features at a single level,which results in incomplete data.Few studies have explored the use of global multi-organ radiomics for non-invasive prediction of EVB secondary to cirrhosis.AIM To develop a model based on clinical and multi-organ radiomic features to predict the risk of first-instance secondary EVB in patients with cirrhosis.METHODS In this study,208 patients with cirrhosis were retrospectively evaluated and randomly split into training(n=145)and validation(n=63)cohorts.Three areas were chosen as regions of interest for extraction of multi-organ radiomic features:The whole liver,whole spleen,and lower esophagus–gastric fundus region.In the training cohort,radiomic score(Rad-score)was created by screening radiomic features using the inter-observer and intra-observer correlation coefficients and the least absolute shrinkage and selection operator method.Independent clinical risk factors were selected using multivariate logistic regression analyses.The radiomic features and clinical risk variables were combined to create a new radiomics-clinical model(RC model).The established models were validated using the validation cohort.BACKGROUND Radiomics has been used in the diagnosis of cirrhosis and prediction of its associated complications.However,most current studies predict the risk of esophageal variceal bleeding(EVB)based on image features at a single level,which results in incomplete data.Few studies have explored the use of global multi-organ radiomics for non-invasive prediction of EVB secondary to cirrhosis.AIM To develop a model based on clinical and multi-organ radiomic features to predict the risk of first-instance secondary EVB in patients with cirrhosis.METHODS In this study,208 patients with cirrhosis were retrospectively evaluated and randomly split into training(n=145)and validation(n=63)cohorts.Three areas were chosen as regions of interest for extraction of multi-organ radiomic features:The whole liver,whole spleen,and lower esophagus–gastric fundus region.In the training cohort,radiomic score(Rad-score)was created by screening radiomic features using the inter-observer and intra-observer correlation coefficients and the least absolute shrinkage and selection operator method.Independent clinical risk factors were selected using multivariate logistic regression analyses.The radiomic features and clinical risk variables were combined to create a new radiomics-clinical model(RC model).The established models were validated using the validation cohort.RESULTS The RC model yielded the best predictive performance and accurately predicted the EVB risk of patients with cirrhosis.Ascites,portal vein thrombosis,and plasma prothrombin time were identified as independent clinical risk factors.The area under the receiver operating characteristic curve(AUC)values for the RC model,Rad-score(liver+spleen+esophagus),Rad-score(liver),Rad-score(spleen),Rad-score(esophagus),and clinical model in the training cohort were 0.951,0.930,0.801,0.831,0.864,and 0.727,respectively.The corresponding AUC values in the validation cohort were 0.930,0.886,0.763,0.792,0.857,and 0.692.CONCLUSION In patients with cirrhosis,combined multi-organ radiomics and clinical model can be used to non-invasively predict the probability of the first secondary EVB.展开更多
It is critical to developing electrocatalysts with highly active and cost-effective for oxygen evolution to resolve environmental pollution and energy issues,in which FeNi-based nanomaterials hold a great promise.Here...It is critical to developing electrocatalysts with highly active and cost-effective for oxygen evolution to resolve environmental pollution and energy issues,in which FeNi-based nanomaterials hold a great promise.Herein,(Fe_(0.33 )Ni_(0.67))S_(2) and(Fe_(0.33 )Ni_(0.67))S_(2)/reduced graphene oxide(rGO)-x%(x=10,20) composites,which exhibited highly efficient oxygen evolution reaction(OER)electrocatalytic activity under alkaline conditions,were synthesized via a hydrothermal approach and following thermal treatment with sulfur powders.Benefiting from the integrated structure of(Fe_(0.33 )Ni_(0.67))S_(2)and support of conductive graphene backbones,(Fe_(0.33 )Ni_(0.67))S_(2)/rGO-20%electrocatalyst showed the best OER activity with an overpotential of 172 mV at 10 mA·cm^(-2)and Tafel slopes of 45 mV·decade^(-1).The composition,phase,and surface structure of the catalyst were characterized before and after OER reaction.The results indicated that crystal phase of the catalyst was reconstructed to the amorphous crystalline features after OER,with oxidation of iron-nickel sulfide and appearance of Ni-Fe oxo/hydroxide species,which may play a crucial role in the high OER performance as the catalytic-active.Moreover,in a two-electrode system towards overall water splitting with(Fe_(0.33 )Ni_(0.67))S_(2)/rGO-20%/NF and Pt/C/NF as the anode and cathode,respectively,the catalysts exhibited excellent catalytic performance with the voltage of only 1.42 V at 10 mA·cm^(-2).展开更多
文摘BACKGROUND Radiomics has been used in the diagnosis of cirrhosis and prediction of its associated complications.However,most current studies predict the risk of esophageal variceal bleeding(EVB)based on image features at a single level,which results in incomplete data.Few studies have explored the use of global multi-organ radiomics for non-invasive prediction of EVB secondary to cirrhosis.AIM To develop a model based on clinical and multi-organ radiomic features to predict the risk of first-instance secondary EVB in patients with cirrhosis.METHODS In this study,208 patients with cirrhosis were retrospectively evaluated and randomly split into training(n=145)and validation(n=63)cohorts.Three areas were chosen as regions of interest for extraction of multi-organ radiomic features:The whole liver,whole spleen,and lower esophagus–gastric fundus region.In the training cohort,radiomic score(Rad-score)was created by screening radiomic features using the inter-observer and intra-observer correlation coefficients and the least absolute shrinkage and selection operator method.Independent clinical risk factors were selected using multivariate logistic regression analyses.The radiomic features and clinical risk variables were combined to create a new radiomics-clinical model(RC model).The established models were validated using the validation cohort.BACKGROUND Radiomics has been used in the diagnosis of cirrhosis and prediction of its associated complications.However,most current studies predict the risk of esophageal variceal bleeding(EVB)based on image features at a single level,which results in incomplete data.Few studies have explored the use of global multi-organ radiomics for non-invasive prediction of EVB secondary to cirrhosis.AIM To develop a model based on clinical and multi-organ radiomic features to predict the risk of first-instance secondary EVB in patients with cirrhosis.METHODS In this study,208 patients with cirrhosis were retrospectively evaluated and randomly split into training(n=145)and validation(n=63)cohorts.Three areas were chosen as regions of interest for extraction of multi-organ radiomic features:The whole liver,whole spleen,and lower esophagus–gastric fundus region.In the training cohort,radiomic score(Rad-score)was created by screening radiomic features using the inter-observer and intra-observer correlation coefficients and the least absolute shrinkage and selection operator method.Independent clinical risk factors were selected using multivariate logistic regression analyses.The radiomic features and clinical risk variables were combined to create a new radiomics-clinical model(RC model).The established models were validated using the validation cohort.RESULTS The RC model yielded the best predictive performance and accurately predicted the EVB risk of patients with cirrhosis.Ascites,portal vein thrombosis,and plasma prothrombin time were identified as independent clinical risk factors.The area under the receiver operating characteristic curve(AUC)values for the RC model,Rad-score(liver+spleen+esophagus),Rad-score(liver),Rad-score(spleen),Rad-score(esophagus),and clinical model in the training cohort were 0.951,0.930,0.801,0.831,0.864,and 0.727,respectively.The corresponding AUC values in the validation cohort were 0.930,0.886,0.763,0.792,0.857,and 0.692.CONCLUSION In patients with cirrhosis,combined multi-organ radiomics and clinical model can be used to non-invasively predict the probability of the first secondary EVB.
基金financially supported by the National Natural Science Foundation of China (No.52002363)the Aeronautical Science Foundation of China (No.2020Z054025002)+1 种基金Shandong Provincial Natural Science Foundation Project (No. ZR2021ME083)the Undergraduate Innovation Training Program Fund of Liaocheng University (No.cxcy2021108)
文摘It is critical to developing electrocatalysts with highly active and cost-effective for oxygen evolution to resolve environmental pollution and energy issues,in which FeNi-based nanomaterials hold a great promise.Herein,(Fe_(0.33 )Ni_(0.67))S_(2) and(Fe_(0.33 )Ni_(0.67))S_(2)/reduced graphene oxide(rGO)-x%(x=10,20) composites,which exhibited highly efficient oxygen evolution reaction(OER)electrocatalytic activity under alkaline conditions,were synthesized via a hydrothermal approach and following thermal treatment with sulfur powders.Benefiting from the integrated structure of(Fe_(0.33 )Ni_(0.67))S_(2)and support of conductive graphene backbones,(Fe_(0.33 )Ni_(0.67))S_(2)/rGO-20%electrocatalyst showed the best OER activity with an overpotential of 172 mV at 10 mA·cm^(-2)and Tafel slopes of 45 mV·decade^(-1).The composition,phase,and surface structure of the catalyst were characterized before and after OER reaction.The results indicated that crystal phase of the catalyst was reconstructed to the amorphous crystalline features after OER,with oxidation of iron-nickel sulfide and appearance of Ni-Fe oxo/hydroxide species,which may play a crucial role in the high OER performance as the catalytic-active.Moreover,in a two-electrode system towards overall water splitting with(Fe_(0.33 )Ni_(0.67))S_(2)/rGO-20%/NF and Pt/C/NF as the anode and cathode,respectively,the catalysts exhibited excellent catalytic performance with the voltage of only 1.42 V at 10 mA·cm^(-2).
