Understanding Atherosclerosis Through an Osteoarthritis Data Set: From Knee to Vessel

Wenjin Liu, Niranjan Balu, Gador Canton, Daniel S. Hippe, Hiroko Watase, John C. Waterton, Thomas Hatsukami, Chun Yuan

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

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 development and progression of atherosclerosis, but it is rarely done because of the high cost. We recently identified the Osteoarthritis Initiative, 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 Osteoarthritis Initiative data set 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 Osteoarthritis Initiative image data set and review the use of vessel wall imaging for studying atherosclerosis. We think data mining of imaging studies, not originally designed on cardiovascular research, can not only maximize the value of the imaging data set but also boost our understanding of atherosclerosis.

Original languageEnglish
Pages (from-to)1018-1025
Number of pages8
JournalArteriosclerosis, thrombosis, and vascular biology
Volume39
Issue number6
DOIs
Publication statusPublished - 01-06-2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine

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