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2
Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization.基于新型近红外光谱-血管内超声的深度学习方法用于准确的冠状动脉计算机断层扫描斑块定量和特征分析。
Eur Heart J Open. 2023 Oct 30;3(5):oead090. doi: 10.1093/ehjopen/oead090. eCollection 2023 Sep.
3
Intravascular Imaging-Guided or Angiography-Guided Complex PCI.血管内影像学指导或血管造影指导下的复杂 PCI。
N Engl J Med. 2023 May 4;388(18):1668-1679. doi: 10.1056/NEJMoa2216607. Epub 2023 Mar 5.
4
A Coronary CT Angiography Radiomics Model to Identify Vulnerable Plaque and Predict Cardiovascular Events.一种用于识别易损斑块并预测心血管事件的冠状动脉CT血管造影放射组学模型。
Radiology. 2023 Apr;307(2):e221693. doi: 10.1148/radiol.221693. Epub 2023 Feb 14.
5
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Intravascular Ultrasound-Derived Calcium Score to Predict Stent Expansion in Severely Calcified Lesions.血管内超声衍生的钙评分预测严重钙化病变中的支架扩张。
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8
End-diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden.血管内超声图像的舒张末期节段化可使动脉粥样硬化负荷的容积分析更具可重复性。
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计算机断层扫描与近红外光谱在评估冠状动脉粥样硬化中的比较。

Computed tomography versus near-infrared spectroscopy for the assessment of coronary atherosclerosis.

作者信息

Ramasamy Anantharaman, Parasa Ramya, Sokooti Hessam, Zhang Xiaotong, Tanboga Ibrahim Halil, Kitslaar Pieter, Broersen Alexander, Rathod Krishnaraj S, Amersey Rajiv, Jain Ajay, Ozkor Mick, Reiber Johan H C, Dijkstra Jouke, Serruys Patrick W, Moon James C, Mathur Anthony, Torii Ryo, Pugliese Francesca, Baumbach Andreas, Bourantas Christos V

机构信息

Department of Cardiology, Barts Heart Centre, St. Bartholomew's Hospital, London, United Kingdom.

Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, London, United Kingdom.

出版信息

EuroIntervention. 2024 Dec 2;20(23):e1465-e1475. doi: 10.4244/EIJ-D-24-00096.

DOI:10.4244/EIJ-D-24-00096
PMID:39618266
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11586659/
Abstract

BACKGROUND

Coronary computed tomography angiography (CCTA) has been proposed as an alternative to intravascular imaging for assessing plaque pathology.

AIMS

We aimed to assess the efficacy of CCTA against near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS) in evaluating atheroma burden and composition and for guiding coronary interventions.

METHODS

Seventy patients with a chronic coronary syndrome were recruited and underwent CCTA and NIRS-IVUS. The imaging data were matched, and the estimations of lumen, vessel wall and plaque dimensions and composition of the two modalities were compared. The primary endpoint of the study was the efficacy of CCTA in detecting lipid-rich plaques identified by NIRS-IVUS. Secondary endpoints included the performance of CCTA in evaluating coronary artery pathology in the studied segments and its value in stent sizing, using NIRS-IVUS as the reference standard.

RESULTS

In total, 186 vessels were analysed. The attenuated plaque volume on CCTA had weak accuracy in detecting lipid-rich plaques (58%; p=0.029). Compared to NIRS-IVUS, CCTA underestimated the lumen volume (309.2 mm vs 420.4 mm; p=0.001) and plaque dimensions (total atheroma volume 116.1 mm vs 292.8 mm; p<0.001 and percentage atheroma volume 27.67% vs 41.06%; p<0.001) and overestimated the lipid component (lipid core burden index 48.6 vs 33.8; p=0.007). In the 86 lesions considered for revascularisation, CCTA underestimated the reference vessel area (8.16 mm vs 12.30 mm; p<0.001) and overestimated the lesion length (23.5 mm vs 19.0 mm; p=0.029) compared to NIRS-IVUS.

CONCLUSIONS

CCTA has limited efficacy in assessing plaque composition and quantifying lumen and plaque dimensions and tissue types, which may potentially impact revascularisation planning.

摘要

背景

冠状动脉计算机断层扫描血管造影(CCTA)已被提议作为评估斑块病理学的血管内成像替代方法。

目的

我们旨在评估CCTA与近红外光谱 - 血管内超声(NIRS-IVUS)在评估动脉粥样硬化负荷和成分以及指导冠状动脉介入治疗方面的疗效。

方法

招募了70例慢性冠状动脉综合征患者,对其进行CCTA和NIRS-IVUS检查。对成像数据进行匹配,并比较两种检查方式对管腔、血管壁和斑块尺寸及成分的评估。该研究的主要终点是CCTA检测NIRS-IVUS识别出的富含脂质斑块的疗效。次要终点包括以NIRS-IVUS作为参考标准,CCTA在评估研究节段冠状动脉病理学方面的表现及其在支架尺寸确定中的价值。

结果

共分析了186条血管。CCTA上衰减斑块体积在检测富含脂质斑块方面准确性较低(58%;p = 0.029)。与NIRS-IVUS相比,CCTA低估了管腔体积(309.2 mm对420.4 mm;p = 0.001)和斑块尺寸(总动脉粥样硬化体积116.1 mm对292.8 mm;p < 0.001,动脉粥样硬化体积百分比27.67%对41.06%;p < 0.001),并高估了脂质成分(脂质核心负荷指数48.6对33.8;p = 0.007)。在考虑血运重建的86个病变中,与NIRS-IVUS相比,CCTA低估了参考血管面积(8.16 mm对12.30 mm;p < 0.001),并高估了病变长度(23.5 mm对19.0 mm;p = 0.029)。

结论

CCTA在评估斑块成分、量化管腔和斑块尺寸以及组织类型方面疗效有限,这可能会对血运重建规划产生潜在影响。