Objective To investigate the value of a combined model incorporating clinical parameters,conventional metabolic pa-rameters of 18F-PSMA PET/CT,and radiomics features in the early prediction of clinically significant prostate cancer(csPCa).Methods A retrospective analysis was conducted on 124 patients who underwent 18 F-PSMA PET/CT and had complete pathological da-ta at the Second Hospital of Lanzhou University or Gansu Provincial People's Hospital.A total of 96 patients from Gansu Provincial Peo-ple's Hospital were randomly divided into a training set and an internal validation set at a 7∶3 ratio,while 28 patients from the Second Hospital of Lanzhou University served as an external validation set.In the training set,clinical parameters and radiomics features were i-dentified through Pearson correlation analysis and optimized using the least absolute shrinkage and selection operator(LASSO)combined with 10-fold cross-validation.Logistic regression was applied to develop separate clinical PET,radiomics,and combined models.Mod-el performance was assessed through receiver operating characteristic(ROC)curve analysis and calibration curves to evaluate predictive accuracy,decision curve analysis(DCA)to assess clinical utility.Results Three clinical and conventional PET parameters and five ra-diomics features were selected to construct the clinical PET model,radiomics model,and combined model.ROC analysis showed that all three models exhibited good predictive performance,with the combined model achieving the highest performance in the training,internal validation,and external validation sets(AUC were 0.973,0.933,and 0.813,respectively).Calibration curves and DCA indicated that the combined model demonstrated strong generalizability and predictive stability across all datasets.Conclusion The combined model in-corporating clinical parameters,conventional metabolic parameters of 18F-PSMA PET/CT,and radiomics features shows good value in the early prediction of csPCa.

Objective To investigate the value of a combined model incorporating clinical parameters,conventional metabolic pa-rameters of 18F-PSMA PET/CT,and radiomics features in the early prediction of clinically significant prostate cancer(csPCa).Methods A retrospective analysis was conducted on 124 patients who underwent 18 F-PSMA PET/CT and had complete pathological da-ta at the Second Hospital of Lanzhou University or Gansu Provincial People's Hospital.A total of 96 patients from Gansu Provincial Peo-ple's Hospital were randomly divided into a training set and an internal validation set at a 7∶3 ratio,while 28 patients from the Second Hospital of Lanzhou University served as an external validation set.In the training set,clinical parameters and radiomics features were i-dentified through Pearson correlation analysis and optimized using the least absolute shrinkage and selection operator(LASSO)combined with 10-fold cross-validation.Logistic regression was applied to develop separate clinical PET,radiomics,and combined models.Mod-el performance was assessed through receiver operating characteristic(ROC)curve analysis and calibration curves to evaluate predictive accuracy,decision curve analysis(DCA)to assess clinical utility.Results Three clinical and conventional PET parameters and five ra-diomics features were selected to construct the clinical PET model,radiomics model,and combined model.ROC analysis showed that all three models exhibited good predictive performance,with the combined model achieving the highest performance in the training,internal validation,and external validation sets(AUC were 0.973,0.933,and 0.813,respectively).Calibration curves and DCA indicated that the combined model demonstrated strong generalizability and predictive stability across all datasets.Conclusion The combined model in-corporating clinical parameters,conventional metabolic parameters of 18F-PSMA PET/CT,and radiomics features shows good value in the early prediction of csPCa.

BACKGROUND:Insufficient blood supply after major bone defects leads to osteocyte necrosis;therefore, the tissue-engineered bone cannot meet the clinical requirements. OBJECTIVE:To construct an artificial vessel using in vitro cultured rabbit bone marrow stromal stem cel s and human umbilical vein endothelial cel s combined with the rabbit aortic decel ularized vascular matrix. METHODS:Rabbit bone marrow stromal stem cel s were cultured by adherent method, human umbilical vein endothelial cel s were cultured in vitro and isolated, and rabbit aortic decel ularized vascular stent was prepared. The stent-cel composite was constructed, and its biocompatibility was observed under scanning electron microscope. There were three groups:blank control, control (bone marrow stromal stem cel-stent) and experimental (stent-cel composites) groups (n=10 per group), fol owed by implantation around the smal vessels. Three months later, the vascular samples were col ected for gross observation and hematoxylin-eosin staining. RESULTS AND CONCLUSION:Fibroblast-like cel clones were formed by adherent method, and were positive for CD44+and STRO-1+after climbing;calcified nodule formed in the ossification. Flow cytometry showed CD34+accounting for 43.83%, and visible VIII factor in the endothelial cel s. In the experimental group, endothelial cel s formed a single cel layer onto the scaffold under scanning electron microscope;the artificial vessel grew wel and tubular structure presented and eight angiod structures were found. Thin film-like vessels formed in the blank control group and there were only endothelial-like tissues in the control group. These results suggest that angiod structures can form after the stent-cel composite implantation, causing no immune reaction, but the artificial vessel is visible in absence of muscular layer.