Understanding Atherosclerosis Through an Osteoarthritis Data Set.
Understanding Atherosclerosis Through an Osteoarthritis Data Set.
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DOI：
10.1161/atvbaha.119.312513
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发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
Yuan C
中科院分区：
文献类型：
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作者：
Liu W;Balu N;Canton G;Hippe DS;Watase H;Waterton JC;Hatsukami T;Yuan C
动脉粥样硬化性心血管疾病仍然是世界范围内的流行病，也是当今死亡的主要原因之一。血管壁成像可用于了解动脉粥样硬化的病因，但由于成本高昂而很少进行。我们最近确定了骨关节炎计划 (OAI)，这是一项针对膝骨关节炎的大型前瞻性队列研究，它的连续膝关节磁共振成像数据可能成为动脉粥样硬化研究的宝贵来源。我们发现这些图像适合用于下肢动脉的血管壁图像分析。在这里，我们将介绍 OAI 数据集并解释为什么它可以用于心血管研究目的。此外，我们将简要评论 OAI 图像数据集中涵盖的外周动脉粥样硬化，并回顾血管壁成像在研究动脉粥样硬化中的应用。我们相信，影像研究的数据挖掘最初并非为心血管研究而设计，它不仅可以最大限度地发挥影像数据集的价值，还可以增进我们对动脉粥样硬化的理解。
Atherosclerotic cardiovascular disease remains a worldwide epidemic and one of the leading causes of death nowadays. Vessel wall imaging can be used to understand the etiology of atherosclerosis but it is rarely done due to the high cost. We recently identified the Osteoarthritis Initiative (OAI), a large prospective cohort study of knee osteoarthritis, which might serve as a valuable source for atherosclerosis research with its serial knee magnetic resonance imaging data. We have found that these images are suitable for vessel wall image analysis of the lower extremity arteries. Here, we will introduce the OAI dataset and explain why it could be used for cardiovascular research purposes. Also, we will briefly comment on peripheral artery atherosclerosis as it is covered in the OAI image dataset and review the use of vessel wall imaging for studying atherosclerosis. We believe data mining of imaging studies, not originally designed on cardiovascular research, can not only maximize the value of the imaging dataset, but also boost our understanding of atherosclerosis.