The prevalence and quantification of atherosclerosis in an elderly population assessed by whole-body magnetic resonance angiography

Arterioscler Thromb Vasc Biol. 2007 Mar;27(3):649-54. doi: 10.1161/01.ATV.0000255310.47940.3b. Epub 2006 Dec 14.

Abstract

Objective: The principal aim of the present study was to explore the feasibility of using whole-body magnetic resonance angiography to assess atherosclerosis in different vascular territories in a cohort of elderly.

Methods and results: Three hundred six 70-year-old subjects (145 women, 161 men) recruited from a population-based cohort study (Prospective Investigation of the Vasculature in Uppsala Seniors, ie, the PIVUS study) underwent 1.5-T whole-body magnetic resonance angiography with gadodiamide. The arteries were divided into 26 segments. In total, 7956 vessel segments were evaluated with 7900 segments (99.3%) possible to evaluate. Of these, 7186 segments (91%) were normal. Luminal narrowing of > or = 50% was observed in 9 (1.5%) of the renal arteries, 12 (1.8%) of the carotid arteries, in 31 segments (1.1%) of the pelvic/upper leg territories, and in 136 segments (6.2%) of territories in the lower leg. Approximately one-third of the sample had no vascular abnormalities, one-third had stenoses of < 50%, and the remainder had stenoses > or = 50% or occlusions. Six subjects (2%) had aortic aneurysms. In subjects without evident vascular disease, 26% had significant vascular abnormalities.

Conclusions: Whole-body magnetic resonance angiography performed with a clinical scanner can be used for quantifying atherosclerosis in different vascular territories in a single examination in an elderly population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Distribution
  • Aged
  • Atherosclerosis / diagnosis*
  • Atherosclerosis / epidemiology*
  • Cohort Studies
  • Female
  • Geriatric Assessment
  • Humans
  • Magnetic Resonance Angiography / methods*
  • Male
  • Observer Variation
  • Prevalence
  • Probability
  • Radiographic Image Enhancement*
  • Risk Assessment
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Sex Distribution
  • Whole Body Imaging*