ArticleAJNR. American journal of neuroradiology2013
Carotid artery plaque characterization using CT multienergy imaging.
Article in AJNR. American journal of neuroradiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology.AJNR. American journal of neuroradiology · 2018Guideline
- Carotid plaque characteristics by computed Tomography: A diagnostic accuracy systematic review.International journal of cardiology. Heart & vasculature · 2025Review
- Usefulness of cone-beam computed tomography to predict residual stenosis after carotid artery stenting.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024Article
- Research progress of imaging technologies for ischemic cerebrovascular diseases.The Journal of international medical research · 2021Review
- CT imaging features of carotid artery plaque vulnerability.Annals of translational medicine · 2020Review
- Variation of degree of stenosis quantification using different energy level with dual energy CT scanner.Neuroradiology · 2019Article
- Numerical observer for atherosclerotic plaque classification in spectral computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- Reproducibility of two different methods for performing mean gray value evaluation of cyst content in endometriomas using VOCAL.Journal of medical ultrasonics (2001) · 2014Article
- Multi-modal CT scanning in the evaluation of cerebrovascular disease patients.Cardiovascular diagnosis and therapy · 2014Review
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposeCarotid artery plaque types can be categorized with CT according to their HU values. The purpose of this work was to analyze carotid artery plaque characteristics by using multienergy imaging. METHODS AND MATERIALS: Thirty-two consecutive patients (23 men; median age, 70 years) were retrospectively analyzed. Carotid arteries were studied with a multienergy CT scanner. All patients received a 15-mL timing bolus of contrast medium to synchronize the data acquisition followed by an injection of 60 mL of contrast medium at a 5-mL/s flow rate. Plaque analysis in 64 carotid arteries was performed, and datasets were reconstructed by using a dedicated workstation. For each plaque, the HU value was quantified with a 2-mm-square region of interest at monoenergy values of 66, 70, 77, and 86 keV. The Wilcoxon test was used to test the differences in HU values in the plaques at different kiloelectron volts.
resultsFour carotid arteries were excluded due to the absence of plaque, and another 7, because of the presence of calcified plaques. In the remaining 53 carotid arteries, Wilcoxon analysis showed a statistically significant difference in HU values among the monoenergy values of 66, 70, 77, and 86 keV (P=.0001). In particular, we found that with the increase in monochromatic kiloelectron volt values, there is a statistically significant reduction in the HU value of the plaque.
conclusionsResults of this study suggest that the HU values of plaque may significantly change according to the selected kiloelectron volt; therefore, the HU-based plaque type (fatty, mixed, calcified) should be classified according to the energy level applied.
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