2021
DOI: 10.1097/mca.0000000000001103
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Low attenuation plaque volume on coronary computed tomography angiography is associated with plaque progression

Abstract: Background Patient-related clinical factors, laboratory factors, and some imaging factors may lead to statistical bias when investigating coronary plaque progression. In this study, we avoided patient characteristics by comparing morphological characteristics of plaque progression and nonprogression within the same patient with multiple plaques.Methods From August 2011 to December 2018, 177 consecutive patients with 424 plaques who were followed with coronary computed tomography angiography (CTA) were reviewed… Show more

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Cited by 4 publications
(4 citation statements)
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“…This adaptation aimed at capturing more detailed features and improving segmentation accuracy by addressing the significant variance in aneurysm sizes. PlaqueNet [11] leveraged advanced residual networks and a depthwise atrous spatial pyramid pooling module based on bicubic efficient channel attention, enhancing the model's sensitivity to feature information and significantly improving segmentation accuracy. The models mentioned above perform excellently; however, models based on CNN architecture often struggle to capture long-distance dependencies due to the inherent limitation of their local receptive fields.…”
Section: Based On Cnn Architecturementioning
confidence: 99%
See 1 more Smart Citation
“…This adaptation aimed at capturing more detailed features and improving segmentation accuracy by addressing the significant variance in aneurysm sizes. PlaqueNet [11] leveraged advanced residual networks and a depthwise atrous spatial pyramid pooling module based on bicubic efficient channel attention, enhancing the model's sensitivity to feature information and significantly improving segmentation accuracy. The models mentioned above perform excellently; however, models based on CNN architecture often struggle to capture long-distance dependencies due to the inherent limitation of their local receptive fields.…”
Section: Based On Cnn Architecturementioning
confidence: 99%
“…Advanced versions such as [6][7][8][9][10] have further pushed the development of the model. PlaqueNet [11] improves segmentation accuracy through residual and spatial pyramid modules with channel attention. Meanwhile, the introduction of Vision Transformer marks the first time the Transformer architecture was introduced into the visual domain.…”
Section: Introductionmentioning
confidence: 99%
“…Low-attenuation noncalci ed plaque (LAP) refers to the portion of coronary plaque of density < 30 Houns eld units associated with a higher risk of vulnerability and rupture. Recent studies show that LAP is a predictor major cardiovascular events [3,4]. Despite extensive research on body weight and cardiovascular risk, the mechanistic relationship between weight loss and coronary plaque modi cation has not been adequately addressed.…”
Section: Read Full Licensementioning
confidence: 99%
“…Contrast-enhanced computed tomography angiography (CCTA) is a potent imaging modality that provides insight into the coronary plaque structure and enables the quantification of low-attenuation noncalcified plaque (LAP), which is currently considered a vulnerable plaque component associated with an increased risk of major cardiovascular events [ 19 , 20 ]. Concomitant measurements of LAP and the body components supposedly involved in the process of coronary atherogenesis, i.e., fat, skeletal muscle, and fat-to-muscle ratio, might fill the gap in knowledge regarding the association between weight loss patterns and coronary plaque modification.…”
Section: Introductionmentioning
confidence: 99%