用于区分全闭塞和严重狭窄的冠状动脉计算机断层扫描定量评估。

IF 5.5 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiovascular Computed Tomography Pub Date : 2024-09-01 DOI:10.1016/j.jcct.2024.04.013
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引用次数: 0

摘要

背景:定量评估对区分冠状动脉计算机断层扫描血管造影(CCTA)上的全闭塞(TO)和严重狭窄的影响仍然未知:本研究调查了在 CCTA 上评估的定量特征是否有助于区分全闭塞和有创冠状动脉造影(ICA)上的严重狭窄:本研究是对 FASTTRACK CABG(NCT04142021)的子分析,在该研究中,CCTA 和 ICA 均为常规检查。定量分析采用半自动 CCTA 斑块分析软件进行。双盲分析师将 CCTA 上的 TO(定义为冠状动脉闭塞处完全没有造影剂形成)与相应的 ICA 进行比较:结果:在 114 名参与试验的患者中,有 59 名患者的 CCTA 检查发现了 84 个 TO。ICA和CCTA诊断TO的一致性为56.0%(n = 47)。与严重狭窄相比,TO的病变长度明显更长(25.1 ± 23.0 mm vs 9.4 ± 11.2 mm,P 5.5 mm),这是唯一与区分TO和严重狭窄相关的参数:结论:在CCTA定量分析中,病变长度大于5.5毫米是区分TO和严重狭窄的唯一独立预测指标:NCT04142021。
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Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses

Backgrounds

The impact of quantitative assessment to differentiate total occlusions (TOs) from severe stenoses on coronary computed tomography angiography (CCTA) remains unknown.

Objective

This study investigated whether quantitative characteristics assessed on CCTA could help differentiate a TO from a severe stenosis on invasive coronary angiography (ICA).

Methods

This study is a sub-analysis of the FASTTRACK CABG (NCT04142021) in which both CCTA and ICA were routinely performed. Quantitative analysis was performed with semi-automated CCTA plaque-analysis software. Blinded analysts compared TOs on CCTA, defined as a complete lack of contrast opacification within the coronary occlusion, with corresponding ICA.

Results

Eighty-four TOs were seen on CCTA in 59 of the 114 patients enrolled in the trial. The concordance in diagnosing a TO between ICA and CCTA was 56.0% (n ​= ​47). Compared to severe stenoses, TOs had a significantly longer lesion length (25.1 ​± ​23.0 ​mm vs 9.4 ​± ​11.2 ​mm, P ​< ​0.001). The best cut-off value to differentiate a TO from severe stenosis was a lesion length of 5.5 ​mm (area under the curve 0.77, 95% CI: 0.66–0.87), with a 91.1% sensitivity and 61.1% specificity. Dense calcium percentage atheroma volume (PAV) was significantly higher in TOs compared to severe stenoses (18.7 ​± ​19.6% vs. 6.6 ​± ​13.0%, P ​< ​0.001), whilst the opposite was seen for fibro-fatty PAV (31.3 ​± ​14.2% vs. 19.5 ​± ​10.5%, P ​< ​0.001). On a multivariable logistic regression analysis, lesion length (>5.5 ​mm) was the only parameter associated with differentiating a TO from a severe stenosis.

Conclusion

In quantitative CCTA analysis, a lesion length >5.5 ​mm was the only independent predictor differentiating a TO from a severe stenosis.

NCT registration number

NCT04142021.

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来源期刊
Journal of Cardiovascular Computed Tomography
Journal of Cardiovascular Computed Tomography CARDIAC & CARDIOVASCULAR SYSTEMS-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.50
自引率
14.80%
发文量
212
审稿时长
40 days
期刊介绍: The Journal of Cardiovascular Computed Tomography is a unique peer-review journal that integrates the entire international cardiovascular CT community including cardiologist and radiologists, from basic to clinical academic researchers, to private practitioners, engineers, allied professionals, industry, and trainees, all of whom are vital and interdependent members of our cardiovascular imaging community across the world. The goal of the journal is to advance the field of cardiovascular CT as the leading cardiovascular CT journal, attracting seminal work in the field with rapid and timely dissemination in electronic and print media.
期刊最新文献
Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort Ultra-high-resolution CT vs. invasive angiography for detecting hemodynamically significant coronary artery disease: Rationale and methods of the CORE-PRECISION multicenter study Computed coronary tomography angiography for left main diameter assessment Value of advanced CCTA post-processing in identifying differences in the LAD myocardial bridging anatomy Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses
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