Natural History of Coronary Atherosclerosis by Multislice Computed Tomography

Papadopoulou, Stella-Lida; Neefjes, Lisan A.; García‐García, Héctor M.; Flu, Willem-Jan; Rossi, Alexia; Dharampal, Anoeshka S.; Kitslaar, Pieter H.; Mollet, Nico R.; Veldhof, Susan; Nieman, Koen; Stone, Gregg W.; Serruys, Patrick W.; Krestin, Gabriël P.; Feyter, Pim J. de

doi:10.1016/j.jcmg.2012.01.009

Cited by 127 publications

(99 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Each plaque volume was derived from [vessel volume e lumen volumes (mm [3])] at baseline and follow-up. Normalized plaque volume was calculated [(plaque volume/total length of measured coronary arteries) multiplied by mean total length for all studies] [21]. Changes in plaque volume were estimated as the difference of volumes between baseline and follow-up.…”

Section: Discussionmentioning

confidence: 99%

“…When required, we manually modified the contours for the coronary lumen or vessel. As previously reported, window level and width were set at 740 and 220 Hounsfield units (HU) to visualize the lumen, vessel and plaque [21]. Vessel and plaque volumes were measured in segments with sufficient image quality and !1.5 mm in lumen diameter.…”

Section: Non-contrast Ct Image Acquisition and Ccta Image Acquisitionmentioning

confidence: 99%

See 1 more Smart Citation

Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study

et al. 2016

Self Cite

View full text Add to dashboard Cite

Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study Methods: We identified 142 study subjects undergoing serial coronary computed tomography angiography. The resulting propensity score was applied 1:1 to match diabetic patients to non-diabetic patients for clinical risk factors, prior coronary stenting, coronary artery calcium (CAC) score and the serial scan interval, resulting in the 71 diabetes and 71 non-diabetes patients. Coronary plaque (total, calcified, noncalcified including fibrous, fibrous-fatty and low attenuation plaque [LAP]) volume normalized by total coronary artery length was measured using semi-automated plaque software and its change overtime between diabetic and non-diabetic patients was evaluated.Results: The matching was successful without significant differences between the two groups in all matched variables. The baseline volumes in each plaque also did not differ. During a mean scan interval of 3.4 ± 1.8 years, diabetic patients showed a 2-fold greater progression in normalized total plaque volume (TPV) than non-diabetes patients (52.8 mm 3 vs. 118.3 mm 3 , p ¼ 0.005). Multivariable linear regression model revealed that diabetes was associated with normalized TPV progression (b 72.3, 95%CI 24.3e120.3). A similar trend was observed for the non-calcified components, but not calcified plaque (b 3.8, 95%CI À27.0e34.7). Higher baseline CAC score was found to be associated with total, non-calcified and calcified plaque progression. However, baseline non-calcified volume but not CAC score was associated with LAP progression. Conclusions: The current study among matched patients indicates diabetes is associated with a greater plaque progression. Our results show the need for strict adherence of diabetic patients to the current preventive guidelines.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Non-contrast Ct Image Acquisition and Ccta Image Acquisitionmentioning

confidence: 99%

Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this study, the coronary plaque burden measured by semi-automated CT software significantly increased in 2 years and was associated with clinical risk factors. Papadopoulou et al also demonstrated the natural history of coronary plaque on CCTA among 32 patients with known CAD [44]. In this study, the total coronary plaque burden was measured at baseline and follow-up, and plaque progression/regression of total plaque burden was observed during a median of 39 months using serial CCTA.…”

mentioning

confidence: 66%

Coronary Artery Disease Progression: Insights from Cardiac CT

Yeh

Nakanishi

Budoff

2015

Curr Cardiovasc Imaging Rep

View full text Add to dashboard Cite

Plaque progression is a multi-faceted process characterized by the incidence, extent, stenosis, burden, morphology, and vulnerability of plaque, which may ultimately result in myocardial infarction or death. For years, intravenous ultrasound (IVUS) has been the primary modality to study progression. However, it is invasive and impractical for screening or monitoring. While coronary artery calcium scoring (CAC) has been widely studied as a non-invasive method to measure plaque progression, it is limited to visualization of stenosis and non-calcified plaque. Coronary computed tomographic angiography (CCTA) allows for visualization of the severity of stenosis, plaque burden, plaque morphology, and ability to differentiate between plaque types. Furthermore, certain CCTA plaque features are useful in identifying vulnerable plaque including low attenuation plaque, positive remodeling, spotty calcification, and napkin-ring sign. This review covers multiple aspects of plaque progression--its pathophysiology, clinical implications, and use of novel noninvasive technology for the assessment of plaque progression over time.

show abstract

“…44 More recent studies using QCA or IVUS-like parameters also validated the reliability and reproducibility of CCTA in quantitative assessment of coronary atherosclerotic plaque. 26,27,33,45 Still, there is limited data regarding plaque progression using CCTA. Although some papers have used serial CCTA findings to describe the progression or change in coronary plaques, 33,[45][46][47][48][49][50][51] research to date has been limited by a small study sample, relatively short time of interval between the scans, as well as focus on a specific subset of patients or lesions.…”

Section: Discussionmentioning

confidence: 99%

“…To detect the progression or development of a plaque over time more efficiently, no gap method 32,33 will be used, assuming that there is no gap between vessel wall and lumen except where a plaque exist, instead of drawing each line separately throughout whole vessel. (FIGURE 1) Plaque volume is defined as the difference between vessel volume and lumen volume, and mean plaque burden is calculated as plaque volume/vessel volume x 100 (%).…”

Section: Acquisition and Interpretation Of Cctamentioning

confidence: 99%