The complementary roles of dynamic contrast-enhanced MRI and 18F-fluorodeoxyglucose PET/CT for imaging of carotid atherosclerosis Articles uri icon

authors

  • CALCAGNO, CLAUDIA
  • RAMACHANDRAN, SARAYU
  • IZQUIERDO GARCÍA, DAVID
  • MANI, VENKATESH
  • MILLON, ANTOINE
  • ROSENBAUM, DAVID
  • TAWAKOL, AHMED
  • WOODWARD, MARK
  • BUCERIUS, JAN
  • MOSHIER, ERIN
  • GODBOLD, JAMES
  • KALLEND, DAVID
  • FARKOUH, MICHAEL E.
  • FUSTER, VALENTIN
  • RUDD, JAMES H.F.
  • FAYAD, ZAHI A.

publication date

  • December 2013

start page

  • 1884

end page

  • 1893

issue

  • 12

volume

  • 40

International Standard Serial Number (ISSN)

  • 1619-7070

Electronic International Standard Serial Number (EISSN)

  • 1619-7089

abstract

  • Purpose: Inflammation and neovascularization in vulnerable atherosclerotic plaques are key features for severe clinical events. Dynamic contrast-enhanced (DCE) MRI and FDG PET are two noninvasive imaging techniques capable of quantifying plaque neovascularization and inflammatory infiltrate, respectively. However, their mutual role in defining plaque vulnerability and their possible overlap has not been thoroughly investigated. We studied the relationship between DCE-MRI and 18F-FDG PET data from the carotid arteries of 40 subjects with coronary heart disease (CHD) or CHD risk equivalent, as a substudy of the dal-PLAQUE trial (NCT00655473).

    Methods: The dal-PLAQUE trial was a multicenter study that evaluated dalcetrapib, a cholesteryl ester transfer protein modulator. Subjects underwent anatomical MRI, DCE-MRI and 18F-FDG PET. Only baseline imaging and biomarker data (before randomization) from dal-PLAQUE were used as part of this substudy. Our primary goal was to evaluate the relationship between DCE-MRI and 18F-FDG PET data. As secondary endpoints, we evaluated the relationship between (a) PET data and whole-vessel anatomical MRI data, and (b) DCE-MRI and matching anatomical MRI data. All correlations were estimated using a mixed linear model.

    Results: We found a significant inverse relationship between several perfusion indices by DCE-MRI and 18F-FDG uptake by PET. Regarding our secondary endpoints, there was a significant relationship between plaque burden measured by anatomical MRI with several perfusion indices by DCE-MRI and 18F-FDG uptake by PET. No relationship was found between plaque composition by anatomical MRI and DCE-MRI or 18F-FDG PET metrics.

    Conclusion: In this study we observed a significant, weak inverse relationship between inflammation measured as 18F-FDG uptake by PET and plaque perfusion by DCE-MRI. Our findings suggest that there may be a complex relationship between plaque inflammation and microvascularization during the different stages of plaque development. 18F-FDG PET and DCE-MRI may have complementary roles in future clinical practice in identifying subjects at high risk of cardiovascular events.

subjects

  • Biology and Biomedicine

keywords

  • dce-mri; pet/ct; atherosclerosis; inflammation; neovascularization