Suppr超能文献

使用基于模型的迭代重建算法的冠状动脉计算机断层扫描血管造影术在检测显著冠状动脉狭窄中的应用:斑块类型如何影响诊断性能。

Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis: how the plaque type influences the diagnostic performance.

作者信息

Vizzuso Antonio, Righi Riccardo, Carnevale Aldo, Zerbini Michela, Benea Giorgio, Giganti Melchiore

机构信息

University of Ferrara, Italy.

Arcispedale Sant'Anna of Ferrara, Italy.

出版信息

Pol J Radiol. 2019 Dec 9;84:e522-e529. doi: 10.5114/pjr.2019.91259. eCollection 2019.

Abstract

PURPOSE

To evaluate the ability of coronary computed tomography angiography (CCTA) with model-based iterative reconstruction (MBIR) algorithm in detecting significant coronary artery stenosis compared with invasive coronary angiography (ICA).

MATERIAL AND METHODS

We retrospectively identified 55 patients who underwent CCTA using the MBIR algorithm with evidence of at least one significant stenosis (≥ 50%) and an ICA within three months. Patients were stratified based on calcium score; stenoses were classified by type and by coronary segment involved. Dose-length-product was compared with the literature data obtained with previous reconstruction algorithms. Coronary artery stenosis was estimated on ICAs based on a qualitative method.

RESULTS

CCTA data were confirmed by ICA in 89% of subjects, and in 73% and 94% of patients with CS < 400 and ≥ 400, respectively. ICA confirmed 81% of calcific stenoses, 91% of mixed, and 67% of soft plaques. Both the dose exposure of patients with prospective acquisition (34) and the exposure of the whole population were significantly lower than the standard of reference ( < 0.001 and = 0.007).

CONCLUSIONS

CCTA with MBIR is valuable in detecting significant coronary artery stenosis with a solid reduction of radiation dose. Diagnostic performance was influenced by plaque composition, being lower compared with ICA for patients with lower CAC score and soft plaques; the visualisation of an intraluminal hypodensity could cause false positives, particularly in D1 and MO segments.

摘要

目的

评估基于模型的迭代重建(MBIR)算法的冠状动脉计算机断层扫描血管造影(CCTA)与有创冠状动脉造影(ICA)相比检测显著冠状动脉狭窄的能力。

材料与方法

我们回顾性纳入了55例使用MBIR算法进行CCTA检查且有至少一处显著狭窄(≥50%)证据并在三个月内接受了ICA检查的患者。根据钙化积分对患者进行分层;狭窄按类型和累及的冠状动脉节段进行分类。将剂量长度乘积与使用先前重建算法获得的文献数据进行比较。基于定性方法在ICA上评估冠状动脉狭窄情况。

结果

89%的受试者CCTA数据得到ICA证实,钙化积分<400和≥400的患者中分别有73%和94%得到证实。ICA证实了81%的钙化性狭窄、91%的混合性狭窄和67%的软性斑块。前瞻性采集患者的剂量暴露(34)以及总体人群的暴露均显著低于参考标准(<0.001和=0.007)。

结论

采用MBIR的CCTA在检测显著冠状动脉狭窄方面具有重要价值,同时能大幅降低辐射剂量。诊断性能受斑块成分影响,对于钙化积分较低和软性斑块患者,与ICA相比诊断性能较低;管腔内低密度的显示可能导致假阳性,尤其是在D1和MO节段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c26/7016499/067d5cd5375d/PJR-84-39425-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验