Objective We aimed to investigate risk factors related to remnant gallbladder (RGB) stones. Methods This retrospective study included 73 patients with RGB, in groups with and without RGB calculi. Univariate analyses were used to identify nine variables associated with RGB calculi: sex, age, body mass index (BMI), time to detection, surgical method, length of RGB, angle of RGB and common hepatic duct (CHD), choledocholithiasis, and remnant cholecystitis. Multivariate logistic regression was performed to assess independent predictors of RGB stones. A receiver operating characteristic (ROC) curve was used to estimate model accuracy and determine cut-off values of independent predictors. Results We enrolled 73 patients, 33 with and 40 without RGB stones. Univariate analyses showed that age, BMI, time to detection, length of RGB, angle of RGB and CHD were predictors for RGB calculi. Multivariate analyses indicated that time to detection, length of RGB, and angle of RGB and CHD were independent predictors for RGB calculi. The area under the ROC curve of the model was 0.940. Cut-off values of the three indicators were 1.5 years, 2.25 cm, and 22.5°, respectively. Conclusion Time to detection, length of RGB, and angle of RGB and CHD were independent predictors of RGB calculi.
The present study aimed to investigate the correlation between the parameters of non-contrast helical computed tomography (NCHCT) and the total energy of holmium laser lithotripsy, and establish a correlative mathematical model. From March 2016 to February 2017, 120 patients with a single urinary calculus were examined by NCHCT prior to holmium laser lithotripsy. The calculus location was confirmed, the CT value was measured and the volume of the calculus in the established three-dimensional reconstruction model was calculated. The total energy of lithotripsy (TEL) was recorded post-operatively. A significant difference in the TEL between renal calculi and ureteral calculi was identified (P<0.001) and a high and significant correlation between the volume of the calculus and the TEL was determined (Spearman r=0.827, P<0.001). A moderate correlation was identified between the CT value of the calculus and the TEL (Spearman r=0.468, P<0.001). Multivariate linear regression analysis revealed that the location, the volume and the CT value of the calculus were independently associated with the TEL (F=288.858, adjusted R2=0.879, P<0.01). A mathematical model correlating the parameters of NCHCT with the TEL was established, which may provide a foundation to guide the use of energy in holmium laser lithotripsy, and it was possible to estimate the TEL by the location, the volume and the CT value of the calculus.
Background: Lateral humeral condyle fracture is the second most common intra-articular fracture in pediatric elbow. Objectives: The present study aimed to analyze the differences between X-ray and magnetic resonance imaging (MRI) in the evaluation of the stability of pediatric lateral humeral condyle fracture and the degree of fracture displacement. Methods: A total of 78 patients with acute elbow trauma were selected and hospitalized in our orthopedic department from July 2018-July 2019. All patients were examined with X-ray and MRI. The sensitivity and specificity of X-ray and MRI in the diagnosis of lateral humeral condyle fracture and the integrity of the trochlear cartilage chain fracture were calculated. The X-ray and MRI were examined respectively to check the value of lateral and posterior fracture space of lateral humeral condyle fracture. Results: Callus repair was observed according to the observation of fracture line during operation or the follow-up imaging examination of conservative treatment. It was confirmed that out of 78 patients with elbow joint trauma, 72 cases were diagnosed with the fracture of lateral condyle of humerus, and the other 6 patients were cured without fracture signs. The sensitivity of MRI in the diagnosis of pediatric lateral condylar fracture was 100%, which was significantly higher than that of X-ray (88.89%) (P<0.05). The results of X-ray and MRI in the diagnosis of pediatric lateral condylar fracture were generally consistent (kappa value = 0.465;< 0.01). Among the 72 confirmed cases, 35 subjects had a fracture of trochlear cartilage chain. The sensitivity of MRI in the diagnosis of pediatric fracture of lateral condyle of humerus was 97.14%, which was significantly higher than that of X-ray (62.86%) (P<0.05). The difference was statistically significant (P<0.05). The sensitivity of 3d-fs-fspgr or 3d-fspgr was significantly higher than that of fs-t2wi and fs-pdwi (P< 0.05). Conclusion: As evidenced by the obtained results, MRI was superior to X-ray in the diagnosis of pediatric humeral epicondylar fracture stability and evaluation of fracture displacement. Furthermore, 3d-fs-fspgr or 3d-fspgr was the best MR sequence to show the pediatric humeral epicondylar fracture. These findings can provide theoretical basis for the establishment of clinical treatment plan.
In the practice of basketball teaching for many years, the author finds that it is difficult for poor students to accept the "one size fits all" teaching model and excellent students can not improve themselves, which causes that basketball teaching does not meet the actual physical needs of students. Stratified teaching model is a new teaching method based on differences of students' physical fitness, specific technical level, curricula-variable motivation and the understanding of the basketball. Based on the author's teaching practice, this paper firstly analyzed the applicability of the stratified teaching model in basketball teaching and then proposed the implementation steps of the stratified teaching model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.