Differentiation of uric acid versus non-uric acid kidney stones in the presence of iodine using dual-energy CT

2010 ◽  
Author(s):  
J. Wang ◽  
M. Qu ◽  
S. Leng ◽  
C. H. McCollough
Keyword(s):  
Uric Acid ◽  
Kidney Stones ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Acid Versus

scholarly journals Noninvasive Differentiation of Uric Acid versus Non–Uric Acid Kidney Stones Using Dual-Energy CT

2007 ◽  
Vol 14 (12) ◽  
pp. 1441-1447 ◽  
Author(s):  
Andrew N. Primak ◽  
Joel G. Fletcher ◽  
Terri J. Vrtiska ◽  
Oleksandr P. Dzyubak ◽  
John C. Lieske ◽  
...  
Keyword(s):  
Uric Acid ◽  
Kidney Stones ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Acid Versus

Efficacy of single-source rapid kV-switching dual-energy CT for characterization of non-uric acid renal stones: a prospective ex vivo study using anthropomorphic phantom

2019 ◽  
Vol 45 (4) ◽  
pp. 1092-1099
Author(s):  
Roberto Cannella ◽  
Mohammed Shahait ◽  
Alessandro Furlan ◽  
Feng Zhang ◽  
Joel D. Bigley ◽  
...  
Keyword(s):  
Uric Acid ◽  
Ex Vivo ◽  
Renal Stones ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Single Source ◽  
Anthropomorphic Phantom ◽  
Ex Vivo Study

scholarly journals In vivo identification of uric acid stones with dual-energy CT: diagnostic performance evaluation in patients

2009 ◽  
Vol 35 (5) ◽  
pp. 629-635 ◽  
Author(s):  
Paul Stolzmann ◽  
Marko Kozomara ◽  
Natalie Chuck ◽  
Michael Müntener ◽  
Sebastian Leschka ◽  
...  
Keyword(s):  
Uric Acid ◽  
Performance Evaluation ◽  
Diagnostic Performance ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Uric Acid Stones

Urinary Calculi Composed of Uric Acid, Cystine, and Mineral Salts: Differentiation with Dual-Energy CT at a Radiation Dose Comparable to That of Intravenous Pyelography

Radiology ◽  
2010 ◽  
Vol 257 (2) ◽  
pp. 402-409 ◽  
Author(s):  
Christoph Thomas ◽  
Martin Heuschmid ◽  
David Schilling ◽  
Dominik Ketelsen ◽  
Ilias Tsiflikas ◽  
...  
Keyword(s):  
Uric Acid ◽  
Radiation Dose ◽  
Urinary Calculi ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Intravenous Pyelography ◽  
Mineral Salts

Identification of Intraarticular and Periarticular Uric Acid Crystals with Dual-Energy CT: Initial Evaluation

Radiology ◽  
2011 ◽  
Vol 261 (2) ◽  
pp. 516-524 ◽  
Author(s):  
Katrina N. Glazebrook ◽  
Luis S. Guimarães ◽  
Naveen S. Murthy ◽  
David F. Black ◽  
Tim Bongartz ◽  
...  
Keyword(s):  
Uric Acid ◽  
Dual Energy ◽  
Initial Evaluation ◽  
Dual Energy Ct

scholarly journals AB0926 PERFORMANCE OF THE ACR-EULAR GOUT CLASSIFICATION CRITERIA FOR THE DIAGNOSIS GOUT IN CLINICAL PRACTICE: A ONE-YEAR FOLLOW-UP STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1763.1-1764
Author(s):  
M. Gamala ◽  
J. W. G. Jacobs ◽  
S. Linn-Rasker ◽  
M. Nix ◽  
B. Heggelman ◽  
...  
Keyword(s):  
Uric Acid ◽  
Clinical Practice ◽  
Serum Uric Acid ◽  
Dual Energy ◽  
Classification Criteria ◽  
Dual Energy Ct ◽  
Research Support ◽  
Follow Up Study ◽  
One Year

Background:Classification criteria are used for classifying groups of patients, especially for clinical trials, and diagnostic criteria for diagnosis in individual patients.Objectives:to establish the performance of the 2015 ACR/EULAR gout classification criteria for the diagnosis gout in patients with undifferentiated arthritis. Secondary, to explore the use and efficacy of uric acid lowering therapy (ULT) in daily clinical practice in new gout patients.Methods:1-year follow-up study was performed in subjects with unclassified arthritis, who had been classified as gout patients or not, according the gout classification criteria, including imaging with dual-energy CT, but without ultrasonography and joint X-rays.(1) The reference was the clinical diagnosis (gout yes/no) after 1-year follow-up.Results:71 patients were included; their demographic and clinical characteristics are summarized in Table 1. All 63/71 patients classified as having gout at baseline also had a clinical gout diagnosis after one year, and of the patients not classified, none had the clinical diagnosis of gout at one year.Table 1.Characteristics of the 71subjects included in analysesDiagnosis**gout (n=63)no gout (n=8)Age in years, mean (SD)62 (14)59 (14)Male gender, N (%)53 (84)5 (63)Symptom duration* at baseline in months, median (IQR)12 (1-48)8 (0.5-33)Joint involvement at baseline N patients (%):MTP,33 (52)1 (12)ankle/midfoot12 (19)1 (12)other joint18 (29)6 (76)SUA intercritical in umol/l, mean (SD)484 (63)337 (71)2015 ACR/EULAR criteria baseline score, mean (SD)***10.3 (2.5)2.6 (1.5)2015 ACR/EULAR criteria ≥8 points, N patients (%)***57 (90)0 (0)MSU crystal positive joint aspiration, N patients (%)44 (70)0 (0)DECT positive, N patients (%)49 (78)0 (0)* self-reported, intermittent symptoms; ** all patients classified with gout at baseline also had a clinical gout diagnosis after one yea; *** using a somewhat limited set, see methodsMTP, metatarsophalangeal joints; SUA, serum uric acid; DECT, dual-energy CT; MSU, monosodium urate;.Sensitivity, specificity, positive and negative predictive value, and accuracy values (95% CI) of the classification criteria set we used were 0.91 (0.80-0.96); 1 (0.63-1); 1; 0.57 (0.38-0.74) and 0.92 (0.83-0.97), respectively. The area under the receiver operating characteristics curve (95% CI) was 0.95 (0.91-0.99).ULT was started in 49/63 (78%) of gout patients; 45/49 (92%) of them had serum uric acid levels ≤ 360 μmol/l and no recurrent gout attack during one-year follow-up.Conclusion:The 2015 ACR-EULAR gout classification criteria performed well for the diagnosis gout in clinical practice. Most gout patients had been treated successfully, according to current guidelines.References:[1]Gamala M, Jacobs JWG, Linn-Rasker SF, Nix M, Heggelman BGF, Pasker-de Jong PCM, et al. The performance of dual-energy CT in the classification criteria of gout: a prospective study in subjects with unclassified arthritis. Rheumatology 2019 Sep (Epub ahead print).Disclosure of Interests:Mihaela Gamala: None declared, Johannes W. G. Jacobs Grant/research support from: Roche, Suzanne Linn-Rasker: None declared, Maarten Nix: None declared, Ben Heggelman: None declared, Pieternel Pasker: None declared, Jacob M. van Laar Grant/research support from: MSD, Genentech, Consultant of: MSD, Roche, Pfizer, Eli Lilly, BMS, Ruth Klaasen: None declared

scholarly journals Pre-operative Percutaneous Nephrolithotripsy Characterisation of Kidney Stones with Second-Generation Dual-Source Dual-Energy Computed Tomography

2020 ◽  
Vol 27 (5) ◽  
pp. 43-52
Author(s):  
DK Mella Mohd Ali ◽  
Mohd Hafizi Mahmud ◽  
Noor Shafini Mohamad
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
Calcium Oxalate ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Second Generation ◽  
Dual Energy ◽  
Spectroscopy Analysis ◽  
Stone Composition ◽  
Dual Source

Background: The current clinical practice to manage kidney stone requires knowledge of the stone composition. However, it is often difficult to determine the actual stone composition before a stone is operatively removed from the patient. Dual-energy computed tomography (DECT) can predict urinary stone composition, but it is not widely adopted. The purpose of the study was to investigate the use of a second-generation DECT with tin or stannum (Sn) filter for characterising the kidney stones composition. Methods: Thirty-three kidney stones were scanned ex vivo using a dual-source (DS)DECT scanner with dual-energy (DE) mode of 80/140 kVp with and without 4 mm Sn filtration. DE ratio was calculated to determine the kidney stones composition (uric acid, calcium oxalate, calcium phosphate and cystine). The median DE ratio of the stones was compared using Wilcoxon signed rank test and the results were further correlated with semi-quantitative Fourier transform infrared (FTIR) spectroscopy analysis using Kendall’s Tau test with P < 0.05 deemed to be statistically significant. Results: Second-generation DS-DECT could significantly discriminate the stones composition with and without Sn filtration (P < 0.001). The median DE ratio of uric acid, calcium oxalate and cystine stones were significantly higher with Sn filtration than those without filtration (P < 0.05). DECT results revealed significant correlation with FTIR spectroscopy analysis (r = 0.716, P < 0.001). DECT with Sn filtration showed increased performance (100% sensitivity, 0% specificity) than those without filtration (48.5% sensitivity, 0% specificity) in the detection of the kidney stone subtypes. Conclusion: In the second-generation DECT with additional Sn filtration, DECT has shown a significant performance in characterising and discriminating the kidney stone composition. This may improve diagnostic and therapy management in kidney stones cases.

Usefulness of dual-energy computed tomography with and without dedicated software in identifying uric acid kidney stones

2016 ◽  
Vol 58 (2) ◽  
pp. 120-128 ◽  
Author(s):  
R. Salvador ◽  
M.P. Luque ◽  
A. Ciudin ◽  
B. Paño ◽  
L. Buñesch ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
Kidney Stones ◽  
Dual Energy ◽  
Dual Energy Computed Tomography
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