2020
DOI: 10.1007/s11604-020-01027-y
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Effect of energy difference in the evaluation of calcification size and luminal diameter in calcified coronary artery plaque using spectral CT

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Cited by 5 publications
(4 citation statements)
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“…The appearance of severe coronary stenosis is frequently exacerbated on CCTA due to partial volume averaging, impeding the accuracy of consequent lumen assessment (8)(9)(10). The limitations of CCTA in diagnosing calcified plaques have been addressed and overcome to some extent via several methods, such as dual-energy CT (11), image subtraction algorithms (12)(13)(14), iterative reconstruction (15,16), high-definition CT (17)(18)(19), and deep learning (DL) approaches (20)(21)(22)(23)(24). Of these methods, using DL seems to be a promising strategy to improve diagnostic value of CCTA in assessing calcified plaques, however, incorporation of coronary angle measurements into routine coronary lumen assessment could be a simple and convenient approach, according to this and other reports (2)(3)(4)(5)(6)(7)25,26).…”
Section: Discussionmentioning
confidence: 99%
“…The appearance of severe coronary stenosis is frequently exacerbated on CCTA due to partial volume averaging, impeding the accuracy of consequent lumen assessment (8)(9)(10). The limitations of CCTA in diagnosing calcified plaques have been addressed and overcome to some extent via several methods, such as dual-energy CT (11), image subtraction algorithms (12)(13)(14), iterative reconstruction (15,16), high-definition CT (17)(18)(19), and deep learning (DL) approaches (20)(21)(22)(23)(24). Of these methods, using DL seems to be a promising strategy to improve diagnostic value of CCTA in assessing calcified plaques, however, incorporation of coronary angle measurements into routine coronary lumen assessment could be a simple and convenient approach, according to this and other reports (2)(3)(4)(5)(6)(7)25,26).…”
Section: Discussionmentioning
confidence: 99%
“…The use of image postprocessing algorithms in highly calcified plaques has addressed this issue to some extent, with promising results reported in the literature [ 8 , 9 , 10 , 11 , 12 ]. These methods include IR, image subtraction, or sharpening algorithms.…”
Section: Discussionmentioning
confidence: 99%
“…However, the main challenge of CCTA lies in the assessment of heavily calcified plaques in the coronary arteries because extensive calcification produces blooming artifacts that result in high false positive rates, thus significantly reducing the specificity and positive predictive value (PPV) [ 4 , 5 , 6 , 7 ]. To address this issue, different strategies have been proposed and these include uses of image post-processing algorithms, dual-energy CT, iterative reconstruction (IR), and so on for suppressing the blooming artifacts with improved specificity and PPV, to some extent [ 8 , 9 , 10 , 11 , 12 ]. A recently developed vendor-specific deblooming algorithm has been shown to improve the diagnostic performance of CCTA, with specificity and PPV increased from 45.8% and 69.8% to 75% and 83.3%, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…For example, virtual non-contrast imaging shows the calcified regions in iodine contrast-enhanced CT or CTA images, enabling calcium scoring (Song et al 2016). In CTA, 50 keV virtual monochromatic images (VMIs) have been shown to provide equivalent or improved visualization of coronary arteries with halved iodine contrast agent dose (Yunaga et al 2020).…”
Section: Introductionmentioning
confidence: 99%