ABSTRACT
Objective To determine the predictive parameters of impacted ureteral stones and evaluate the predictive value of ureteral wall thickness for impacted ureteral stones.Methods A total of 93 patients with proximal ureteral stones from January 2017 to December 2017 were included in the study [71 males and 22 females,aged 30-80 years,and body mass index (23.7 ± 2.7) kg/m2].Both clinical and computed tomography urography (CTU) data were compared between patients with or without impacted ureteral stone,including sex,age,body mass index,renal pelvic diameter,longitudinal size of stone,transverse size of stone,stone surface area,stone volume,hounsfield units of stone,diameter of the ureter proximal to the stone,and ureteral wall thickness at the impacted ureteral stone site.The receiver operating characteristic curve (ROC) was used to analyze the performance of each of the above-mentioned parameters for predicting the impacted ureteral stones.Multivariate logistic regression analysis was used to select the independent risk factors of impacted ureteral stones.Results Among 93 patients,38 (40.8％) patients were with impacted stones and 55 (59.1％) without impacted stones.Univariate analysis showed significant difference in ureteral wall thickness (t =6.344,P ＜ 0.001),diameter of the ureter proximal to the stone (U =607.5,P =0.001),longitudinal size of stone(U =580.5,P ＜0.001),transverse size of stone(t =4.172,P ＜0.001),stone surface area(U =508.5,P ＜ 0.001),stone volume (U =508.5,P ＜ 0.001) and hounsfield units of stone (t =6.344,P =0.006) between patients with or without impacted stones.Ureteral wall thickness(UWT)showed the largest area under curve (AUC) among those parameters (AUC =0.825,P ＜ 0.001),followed by stone surface area and stone volume.The optimal cut-off value of ureteral wall thickness was 3.16 mm,with sensitivity of 71.1％ and specificity of 85.5％.Multivariate analysis showed that ureteral wall thickness (Wald =18.709,P ＜ 0.001) and stone volume (Wald =8.391,P =0.004) were independent predictors of impacted stones.Conclusion Ureteral wall thickness was related to the presence of impacted ureteral stones and could be used for predicting impacted ureteral stones.
ABSTRACT
Objective@#To classify the morphology of mandible posterior region and provide reference for the planning of dental implantation.@*Methods@#Cone beam CT data of 208 patients were collected. The CT data were imported into CS 3D imaging V3 software and then the morphology of mandible posterior region were analyzed. The types of premolar and molar mandible cross-section morphology were recorded, classified and analyzed.@*Results@#The results showed that type A (vertical type) (79%-96%) was the most common in the premolars, whereas type B (inclined type) (36%-37%) and type C (lingual inverted concave) (30%-54%) were the most common types in the molars, followed type D (absorption severe type) (2%-5%). There was a statistically significant differences in tooth positions (P<0.001), tooth deficiency aspect (P<0.001) and different side (P=0.013), different age (P<0.001), and different gender (P=0.007).@*Conclusions@#Using cone beam CT to determine the morphology of mandible may be a reference for the planning of dental implantation.
ABSTRACT
Objective To evaluate the role of PSA density with prostate volume determined by MR images in the prediction of extraprostatic extension in patients with clinically organ-confined prostate cancer.Method A total of 71 patients with clinically organ-confined prostate cancer who underwent radical prostatectomy from January 2009 to December 2013 were included in the study.MRI PSAD,preoperative total serum PSA (tPSA),free PSA/total PSA (fPSA/tPSA),biopsy Gleason score,prostate volume,age,body mass index in patients with extraprostatic extension were compared with those in patients with organ-confined disease.The receiver operating characteristic (ROC) curve was used to analyze the performance of each of the above parameters to predict the extraprostatic extension.Multivariate logistic regression analysis was used to select the independent influencing factors for extraprostatic extension.Results Pathologic examination revealed 32 patients were positive for extraprostatic extension and 39 paticnts had organ-confined disease.MRI PSAD(P ＜ 0.001),tPSA (P ＜ 0.00l) and biopsy Gleason score levels (P =0.006) were higher in patients with extraprostatic extension than that in patients with organ-confined disease,and prostate volume was lower(P =0.009).MRI PSAD showed the largest area under ROC curve (AUC) among those parameter(AUC =0.852,P ＜ 0.001),and tPSA was the second (AUC =0.764).Multivariate logistic regression analyses showed that MRI PSAD was an independent predictor of extraprostatic extension.Conclusions MRI PSAD was better than tPSA in predicting pathological stage of extraprostatic extension.The value of PSAD should not be ignored in the prediction of pathological stage.