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Diagnostic Performance of Atherosclerotic Carotid Plaque Neovascularization with Contrast-Enhanced Ultrasound: A Meta-Analysis
- Source :
- Computational and Mathematical Methods in Medicine. 2022:1-8
- Publication Year :
- 2022
- Publisher :
- Hindawi Limited, 2022.
-
Abstract
- Objectives. To evaluate the diagnostic performance of contrast-enhanced ultrasound (CEUS) for atherosclerotic carotid plaque neovascularization. Methods. The electronic databases like PubMed, Embase, OVID, and Web of Science were used to search for the relevant studies, which are involved in the evaluation of the diagnostic parameters of QUS for atherosclerotic carotid plaque neovascularization. Review Manager 5.4 and Stata 14.0 were used to estimate the pooled diagnostic value of CEUS. Forest plots, sensitivity analysis, and Deeks’ funnel plots were performed on the included studies. Results. Ten studies eventually met the final inclusion criteria. For diagnostic performance, CUES showed that the pooled values of sensitivity, specificity, positive likelihood odds ratios, negative likelihood odds ratios, and diagnostic odds ratios were 0.83 (95% CI 0.78-0.86), 0.77 (95% CI 0.68-0.84), 3.61 (95% CI 2.59-5.03), 0.23 (95% CI 0.18-0.28), and 16.02 (95% CI 10.02-25.60), respectively. The estimate of the area under curve (AUC) was 0.85 (95% CI 0.82-0.88). Conclusion. Our research supported that CEUS had high sensitivity and specificity in the diagnosis of atherosclerotic carotid plaque neovascularization. More high-quality prospective multicenter studies focusing on the accuracy of CEUS for carotid atherosclerotic plaque should be performed to verify our conclusions.
- Subjects :
- Carotid Artery Diseases
Male
Article Subject
Neovascularization, Pathologic
General Immunology and Microbiology
Applied Mathematics
Computational Biology
Contrast Media
General Medicine
Sensitivity and Specificity
Plaque, Atherosclerotic
General Biochemistry, Genetics and Molecular Biology
Modeling and Simulation
Odds Ratio
Humans
Carotid Stenosis
Female
Ultrasonography
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2022
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....dd9f4eca0e5107d4da909fcff9a3a647
- Full Text :
- https://doi.org/10.1155/2022/7531624