Objective: The objective of our study was to assess the diagnostic quality of low-dose computed tomography (CT) when compared to ultrasound (US) in diagnosis of urolithiasis using STONE score as a predictor of pre-test probability and the Bayesian statistical model to calculate post-test probabilities (POST) for both diagnostic tests. Methods: STONE score was used to form risk groups to obtain pre-test probabilities. Likelihood ratios (LR) were calculated from external data for low-dose CT and US. POST were obtained using pre-test probabilities and likelihood ratios with Bayesian nomogram. Absolute (ADG) and relative (RDG) gains in diagnostic value were calculated. Results: Calculated +LR for US was 12 and −LR was 0.32; for CT, +LR was 19 and −LR 0.04. +LR and low STONE for US yielded POST 57% and RDG 470%; intermediate STONE POST 92% and RDG 84%; and high STONE POST 99% and RDG 10%. −LR and low STONE for US POST 3% and RDG −70%; intermediate POST 24% and RDG −52%; and high STONE POST 74% and RDG −17.7%. +LR and low STONE for CT POST 68% and RDG 580%; moderate STONE POST 95% and RDG 90%; and high STONE POST 99% and RDG 10%. −LR and low STONE for CT POST 0% and RDG −100%; intermediate POST 4% and RDG −92%; and high STONE POST 26% and RDG −71.1%. ANOVA calculations comparing CT vs US for +LR showed no statistical significance (P value = 0.9893; LR− P value = 0.5488). Conclusion: Bayesian statistical analysis demonstrated slight superiority of CT scan over US on STONE score low- and moderate-risk stratified subtypes, whereas no significant advantage was seen when evaluating high-probability patients.
- Bayesian analysis
- Low-dose CT
ASJC Scopus subject areas
- Emergency Medicine
- Radiology Nuclear Medicine and imaging