Diagnostic accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from non-uric acid calculi: systematic review and meta-analysis

2020 ◽  
Vol 30 (5) ◽  
pp. 2791-2801 ◽  
Author(s):  
Trevor A. McGrath ◽  
Robert A. Frank ◽  
Nicola Schieda ◽  
Brian Blew ◽  
Jean-Paul Salameh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Uric Acid ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Dual Energy ◽  
Dual Energy Computed Tomography

Diagnostic Accuracy of Dual-Energy CT in Detection of Acute Pulmonary Embolism: A Systematic Review and Meta-Analysis

2020 ◽  
pp. 084653712090206 ◽  
Author(s):  
Waleed Abdellatif ◽  
Mahmoud Ahmed Ebada ◽  
Souad Alkanj ◽  
Ahmed Negida ◽  
Nicolas Murray ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Pulmonary Embolism ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Acute Pulmonary Embolism ◽  
Meta Analysis ◽  
Dual Energy ◽  
Dual Energy Computed Tomography ◽  
Sensitivity Specificity

Purpose: In this systematic review and meta-analysis, we aimed to investigate the accuracy of dual-energy computed tomography (DECT) in the detection of acute pulmonary embolism (PE). Methods: We searched Medline (via PubMed), EBSCO, Web of Science, Scopus, and the Cochrane Library for relevant published studies. We selected studies assessing the accuracy of DECT in the detection of PE. Quality assessment of bias and applicability was conducted using the Quality of Diagnostic Accuracy Studies-2 tool. Meta-analysis was performed to calculate mean estimates of sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR). The summary receiver operating characteristic (sROC) curve was drawn to get the Cochran Q-index and the area under the curve (AUC). Results: Seven studies were included in our systematic review. Of the 182 patients included, 108 patients had PEs. The pooled analysis showed an overall sensitivity and specificity of 88.9% (95% confidence interval [CI]: 81.4%-94.1%) and 94.6% (95% CI: 86.7%-98.5%), respectively. The pooled PLR was 8.186 (95% CI: 3.726-17.986), while the pooled NLR was 0.159 (95% CI: 0.093-0.270). Cochran-Q was 0.8712, and AUC was 0.935 in the sROC curve. Conclusion: Dual-energy computed tomography shows high sensitivity, specificity, and diagnostic accuracy in the detection of acute PE. The high PLR highlights the high clinical importance of DECT as a prevalence-independent, rule-in test. Studies with a larger sample size with standardized reference tests are still needed to increase the statistical power of the study and support these findings.

Dual-energy computed tomography for characterizing urinary calcified calculi and uric acid calculi: A meta-analysis

2016 ◽  
Vol 85 (10) ◽  
pp. 1843-1848 ◽  
Author(s):  
Xingju Zheng ◽  
Yuanyuan Liu ◽  
Mou Li ◽  
Qiyan Wang ◽  
Bin Song
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
Meta Analysis ◽  
Dual Energy ◽  
Dual Energy Computed Tomography

scholarly journals Vertebral disk morphology of the lumbar spine: a retrospective analysis of collagen-sensitive mapping using dual-energy computed tomography

2020 ◽  
Author(s):  
Friederike Schömig ◽  
Matthias Pumberger ◽  
Yannick Palmowski ◽  
Ann-Kathrin Ditges ◽  
Torsten Diekhoff ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lumbar Spine ◽  
Diagnostic Accuracy ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Dual Energy ◽  
Interrater Agreement ◽  
Dual Energy Computed Tomography ◽  
Disk Displacement ◽  
Disk Pathology

Abstract Objectives To investigate the diagnostic accuracy of collagen-sensitive maps derived from dual-energy computed tomography (DECT) for the detection of lumbar disk pathologies in a feasibility setting. Materials and methods We retrospectively reviewed magnetic resonance imaging (MRI), computed tomography (CT), and DECT datasets acquired in patients who underwent periradicular therapy of the lumbar spine from June to December 2019. Three readers scored DECT collagen maps, conventional CT, and MRI for presence, type, and extent of disk pathology. Contingency table analyses were performed to determine diagnostic accuracy using MRI as standard of reference. Interrater agreement within and between imaging modalities was evaluated by computing intraclass correlation coefficients (ICCs) and Cohen’s kappa. Correlation between sum scores of anteroposterior disk displacement was determined by calculation of a paired t test. Results In 21 disks in 13 patients, DECT had a sensitivity of 0.87 (0.60–0.98) and specificity of 1.00 (0.54–1.00) for the detection of disk pathology. Intermodality agreement for anteroposterior disk displacement was excellent for DECT (ICC 0.963 [0.909–0.985]) and superior to CT (ICC 0.876 [0.691–0.95]). For anteroposterior disk displacement, DECT also showed greater within-modality interrater agreement (ICC 0.820 [0.666–0.916]) compared with CT (ICC 0.624 [0.39–0.808]). Conclusion Our data suggest that collagen-sensitive imaging has an added benefit, allowing more accurate evaluation of the extent of disk displacement with higher interrater reliability. Thus, DECT could provide useful diagnostic information in patients undergoing CT for other indications or with contraindications to MRI.

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