SynthesisEuropean radiology2020
Diagnostic accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from non-uric acid calculi: systematic review and meta-analysis.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Surgical outcomes of robotic surgery for kidney stones: a systematic review and meta-analysis from section of YAU and EAU endourology.World journal of urology · 2025Pooled it
- Machine learning integrating CT radiomics and clinical variables for preoperative prediction of renal uric acid stones: a model development and validation study.Translational andrology and urology · 2026Article
- Dual-source CT for medical dissolution of uric acid stones: a retrospective derivation and prospective validation study.European journal of medical research · 2026Article
- Article
- Improved display and detection of small renal stones using photon-counting detector CT compared to conventional energy-integrating detector CT.Abdominal radiology (New York) · 2025Article
- Diagnostic performance and feasibility of dual-layer detector dual-energy CT for characterization of urinary stones in patients of different sizes.Abdominal radiology (New York) · 2024Article
- Demonstrating the Efficacy of Dual Energy Computer Tomography with Gemstone Spectral Imaging Software to Determine Mixed and Single Composition ex vivo Urolithiasis.Research and reports in urology · 2024Article
- Development and external validation of a machine learning-based model to classify uric acid stones in patients with kidney stones of Hounsfield units < 800.Urolithiasis · 2023Article
- Dual-energy CT kidney stone characterization-can diagnostic accuracy be achieved at low radiation dose?European radiology · 2023Article
- A combined model based on CT radiomics and clinical variables to predict uric acid calculi which have a good accuracy.Urolithiasis · 2023Article
- DECT Numbers in Upper Abdominal Organs for Differential Diagnosis: A Feasibility Study.Tomography (Ann Arbor, Mich.) · 2022Article
- Article
- Virtual monoenergetic images from dual-energy CT: systematic assessment of task-based image quality performance.Quantitative imaging in medicine and surgery · 2022Article
- Low-dose dual-energy CT for stone characterization: a systematic comparison of two generations of split-filter single-source and dual-source dual-energy CT.Abdominal radiology (New York) · 2021Article
- Urate Crystals; Beyond Joints.Frontiers in medicine · 2021Review
- Non-Destructive Imaging and Spectroscopic Techniques for Assessment of Carcass and Meat Quality in Sheep and Goats: A Review.Foods (Basel, Switzerland) · 2020Review
- Protocol analysis of dual-energy CT for optimization of kidney stone detection in virtual non-contrast reconstructions.European radiology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUric acid stone diagnosis is presently done primarily with in vitro analysis of stones. In vivo diagnosis with dual-energy CT (DECT) would allow earlier initiation of therapy with urine alkalinization and avoid surgical intervention.
objectiveTo evaluate if DECT, using stone analysis as reference standard, is sufficiently accurate to replace stone analysis for diagnosis of uric acid stones.
methodsOriginal studies in patients with urolithiasis examined with DECT with stone analysis as the reference standard were eligible for inclusion. MEDLINE (1946-2018), Embase (1947-2018), CENTRAL (August 2018), and multiple urology and radiology conferences were searched. QUADAS-2 was used to assess risk of bias and applicability. Meta-analyses were performed using a bivariate random-effects model.
resultsA total of 21 studies (1105 patients, 1442 stones) were included. Fourteen studies containing 662 patients (944 stones) were analyzed in the uric acid dominant target condition (majority of stone composition uric acid): mean sensitivity was 0.88 (95% CI 0.79-0.93) and specificity 0.98 (95% CI 0.96-0.99). Thirteen studies (674 patients, 760 stones) were analyzed in the uric acid-containing target condition (< majority of stone composition uric acid): mean sensitivity was 0.82 (95% CI 0.73-0.89) and specificity 0.97 (95% CI 0.94-0.98). Meta-regression showed no significant variability in test accuracy. Two studies had one or more domains at high risk of bias and there were no concerns regarding applicability.
conclusionDECT is an accurate replacement test for diagnosis of uric acid calculi in vivo, such that stone analysis could be replaced in the diagnostic pathway. This would enable earlier initiation of urine alkalinization. KEY POINTS: • DECT for uric acid dominant stones has sensitivity of 0.88 (95% CI 0.79-0.93) and specificity of 0.98 (95% CI 0.96-0.99); uric acid-containing stones had mean sensitivity of 0.82 (95% CI 0.73-0.89) and specificity of 0.97 (95% CI 0.94-0.98). • Meta-regression did not identify any variables (study design, reference standard, dual-energy CT type, dose, risk of bias) that influenced test accuracy. • Only 2 of the 21 included studies had 1 or more domain considered to be at high risk of bias with the majority of domains considered at low risk of bias; there were no concerns regarding applicability in any of the included studies.
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