First comparison between artificial intelligence-guided coronary computed tomography angiography versus single-photon emission computed tomography testing for ischemia in clinical practice.

IF 1.5 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Geoffrey W Cho, Sammy Sayed, Zoee D'Costa, Daniel W Karlsberg, Ronald P Karlsberg
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引用次数: 0

Abstract

Background: Noninvasive cardiac testing with coronary computed tomography angiography (CCTA) and single-photon emission computed tomography (SPECT) are becoming alternatives to invasive angiography for the evaluation of obstructive coronary artery disease. We aimed to evaluate whether a novel artificial intelligence (AI)-assisted CCTA program is comparable to SPECT imaging for ischemic testing.

Methods: CCTA images were analyzed using an artificial intelligence convolutional neural network machine-learning-based model, atherosclerosis imaging-quantitative computed tomography (AI-QCT)ISCHEMIA. A total of 183 patients (75 females and 108 males, with an average age of 60.8 years ± 12.3 years) were selected. All patients underwent AI-QCTISCHEMIA-augmented CCTA, with 60 undergoing concurrent SPECT and 16 having invasive coronary angiograms. Eight studies were excluded from analysis due to incomplete data or coronary anomalies.

Results: A total of 175 patients (95%) had CCTA performed, deemed acceptable for AI-QCTISCHEMIA interpretation. Compared to invasive angiography, AI-QCTISCHEMIA-driven CCTA showed a sensitivity of 75% and specificity of 70% for predicting coronary ischemia, versus 70% and 53%, respectively for SPECT. The negative predictive value was high for female patients when using AI-QCTISCHEMIA compared to SPECT (91% vs. 68%, P = 0.042). Area under the receiver operating characteristic curves were similar between both modalities (0.81 for AI-CCTA, 0.75 for SPECT, P = 0.526). When comparing both modalities, the correlation coefficient was r = 0.71 (P < 0.04).

Conclusion: AI-powered CCTA is a viable alternative to SPECT for detecting myocardial ischemia in patients with low- to intermediate-risk coronary artery disease, with significant positive and negative correlation in results. For patients who underwent confirmatory invasive angiography, the results of AI-CCTA and SPECT imaging were comparable. Future research focusing on prospective studies involving larger and more diverse patient populations is warranted to further investigate the benefits offered by AI-driven CCTA.

首次比较人工智能引导冠状动脉计算机断层血管造影与单光子发射计算机断层造影在临床实践中的缺血检测。
背景:无创心脏检查冠状动脉计算机断层血管造影(CCTA)和单光子发射计算机断层扫描(SPECT)正在成为评估阻塞性冠状动脉疾病的有创血管造影的替代方法。我们的目的是评估一种新的人工智能(AI)辅助CCTA程序是否可以与SPECT成像相媲美。方法:采用基于人工智能卷积神经网络的机器学习模型对CCTA图像进行分析,动脉粥样硬化成像-定量计算机断层扫描(AI-QCT)缺血。共183例患者,其中女性75例,男性108例,平均年龄60.8岁±12.3岁。所有患者均行ai - qctischemia增强CCTA,其中60例同时行SPECT, 16例行有创冠状动脉造影。由于数据不完整或冠状动脉异常,8项研究被排除在分析之外。结果:共有175例(95%)患者进行了CCTA,认为AI-QCTISCHEMIA解释是可接受的。与有创血管造影相比,ai - qctischemia驱动的CCTA预测冠状动脉缺血的敏感性为75%,特异性为70%,SPECT分别为70%和53%。与SPECT相比,使用AI-QCTISCHEMIA对女性患者的阴性预测值更高(91%比68%,P = 0.042)。两种方式的受试者工作特征曲线下面积相似(AI-CCTA为0.81,SPECT为0.75,P = 0.526)。两种方式比较,相关系数r = 0.71 (P < 0.04)。结论:人工智能辅助CCTA是低至中危冠心病患者心肌缺血检测的可行替代SPECT,两者结果有显著的正相关和负相关。对于接受确诊性侵入性血管造影的患者,AI-CCTA和SPECT成像的结果具有可比性。未来的研究重点是涉及更大、更多样化的患者群体的前瞻性研究,以进一步研究人工智能驱动的CCTA提供的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Coronary artery disease
Coronary artery disease 医学-外周血管病
CiteScore
2.50
自引率
0.00%
发文量
190
审稿时长
6-12 weeks
期刊介绍: Coronary Artery Disease welcomes reports of original research with a clinical emphasis, including observational studies, clinical trials, translational research, novel imaging, pharmacology and interventional approaches as well as advances in laboratory research that contribute to the understanding of coronary artery disease. Each issue of Coronary Artery Disease is divided into four areas of focus: Original Research articles, Review in Depth articles by leading experts in the field, Editorials and Images in Coronary Artery Disease. The Editorials will comment on selected original research published in each issue of Coronary Artery Disease, as well as highlight controversies in coronary artery disease understanding and management. Submitted artcles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and​ peer-review by the editors and those invited to do so from a reviewer pool.
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