双层光谱探测器计算机断层扫描(SDCT)测定的肝脏多参数定量指标与冠状动脉斑块评分的关联。

IF 2.9 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Quantitative Imaging in Medicine and Surgery Pub Date : 2024-10-01 Epub Date: 2024-09-21 DOI:10.21037/qims-24-53
Min Wang, Yue Ma, Yu Lan, Ruobing Bai, Linlin Yang, Yang Hou
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引用次数: 0

摘要

背景:肝脏脂肪变性与冠状动脉斑块的发生和发展密切相关:肝脏脂肪变性与冠状动脉斑块的发生和发展密切相关。光谱探测器计算机断层扫描(SDCT)可为肝脏脂肪变性提供更精确的多参数定量参数。因此,本横断面研究旨在探讨使用 SDCT 测量的肝脏定量指标对冠状动脉斑块范围和严重程度的影响:在接受上腹部未增强 SDCT 和冠状动脉计算机断层扫描的患者中,使用节段受累评分(SIS)和节段狭窄评分(SSS)评估斑块范围和严重程度。通过 40 和 70 kev 的多色和虚拟单能图像、光谱衰减曲线斜率和有效原子序数(分别为 CT40 keV、CT70 kev、λHU 和 Zeff)评估肝脏脂肪定量。逻辑回归模型评估了影响高 SIS 和 SSS 的因素:结果:入组患者(n=644)被分为两组:低 SIS 组(结论:低 SIS 和 SSS 是影响高 SIS 和 SSS 的因素:SDCT-Zeff是与高SIS和SSS相关的独立因素。肝脏脂肪的量化可能有助于评估冠状动脉粥样硬化的风险和预后。
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Association of liver multi-parameter quantitative metrics determined by dual-layer spectral detector computed tomography (SDCT) with coronary plaque scores.

Background: Hepatic steatosis is closely related to the occurrence and development of coronary plaques. Spectral detector computed tomography (SDCT) can provide more precise multiparameter quantitative parameters for hepatic steatosis. Hence, the purpose of this cross-sectional study was to explore the effect of quantitative liver metrics measured using SDCT on the extent and severity of coronary plaques.

Methods: In patients who underwent upper abdomen unenhanced SDCT and coronary computed tomography angiography, plaque extent and severity were assessed using segmental involvement score (SIS) and segmental stenosis score (SSS). Liver fat quantification was evaluated by polychromatic and virtual mono-energetic images at 40 and 70 kev, spectral attenuation curve slope, and effective atomic number (CT40 keV, CT70 kev, λHU, and Zeff, respectively). A logistic regression model evaluated the factors influencing high SIS and SSS.

Results: Enrolled patients (n=644) were divided into groups: low SIS (<5) (n=451), high SIS (≥5) (n=193), low SSS (<5) (n=461), and high SSS (≥5) (n=183). Zeff was more closely correlated with SIS (standard partial regression coefficient =-0.422, P<0.001) and SSS (standard partial regression coefficient =-0.346, P<0.001). Zeff was divided into four groups using interquartile intervals. Compared with the patients in the lowest quartile, those in the second [odds ratio (OR) =2.116, 95% confidence interval (CI): 1.134-3.949, P=0.018], third (OR =2.832, 95% CI: 1.461-5.491, P=0.002), and fourth (OR =3.584, 95% CI: 1.857-6.918, P<0.001) quartiles showed higher risk for high SIS. And correspondingly, the second (OR =1.933, 95% CI: 1.040-3.592, P=0.037), third (OR =2.900, 95% CI: 1.499-5.609, P=0.002), and fourth (OR =3.368, 95% CI: 1.743-6.510, P<0.001) quartiles showed higher risk for high SSS, especially in those who were <60 years old, male and had visceral adipose tissue/subcutaneous adipose tissue <1.18.

Conclusions: The SDCT-Zeff was an independent factor associated with high SIS and SSS. The quantification of liver fat may be useful for evaluating the risk and prognosis of coronary atherosclerosis.

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Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
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4.20
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17.90%
发文量
252
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