MRI measurements of carotid plaque in the atherosclerosis risk in communities (ARIC) study: Methods, reliability and descriptive statistics

Bruce A. Wasserman, Brad C. Astor, A. Richey Sharrett, Cory Swingen, Diane Catellier

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Purpose: To measure carotid plaque components using MRI and estimate reliability in the population-based Atherosclerosis Risk in Communities (ARIC) study. Materials and Methods: Contrast-enhanced high-resolution (0.51 x 0.58 x 2 mm3) MRI images were acquired through internal (ICA) and common carotid arteries (CCA) of 2066 ARIC participants at four sites. Sixty-one exams were repeated and 164 pairs had repeated interpretations. Plaque component thicknesses, areas and volumes over eight slices (1.6-cm segment) were measured. Intraplaque hemorrhage was recorded. Reliability was evaluated by intraclass correlations and k statistics. Results: There were 1769 successful MRI exams (mean age 71 years; 57% females; 81% white; 19% African-Americans). Repeat scan reliability was highest for CCA lumen area (0.94) and maximum wall thickness (0.89), ICA lumen area (0.89) and maximum wall thickness (0.77) and total wall volume (0.79), and lowest for small structures-core volume (0.30) and mean cap thickness (0.38). Overall reliability was primarily related to reader variability rather than scan acquisition. K's for presence of core, calcification and hemorrhage were fair to good. White men had the thickest plaques (average maximum ICA wall thickness = 2.3 mm) and the most cores (34%). Conclusion: The most important limiting factor for MRI measurements of plaque components is reader variability. Measurement error depends largely on the analyzed structure's size.

Original languageEnglish (US)
Pages (from-to)406-415
Number of pages10
JournalJournal of Magnetic Resonance Imaging
Volume31
Issue number2
DOIs
StatePublished - Feb 2010

Keywords

  • Atherosclerosis
  • Epidemiology
  • Magnetic resonance imaging
  • Plaque
  • Statistics

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