Article ; Online: Factors related to residual gallbladder calculi formation using computed tomography and magnetic resonance imaging combined with clinical data
Journal of International Medical Research, Vol
2020 Volume 48
Abstract: 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 ... ...
| Abstract | 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. |
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| Keywords | Medicine (General) ; R5-920 |
| Subject code | 610 |
| Language | English |
| Publishing date | 2020-09-01T00:00:00Z |
| Publisher | SAGE Publishing |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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