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@ARTICLE{Gitsioudis:120428,
      author       = {G. Gitsioudis and Y. S. Chatzizisis and P. Wolf and A.
                      Missiou and A. P. Antoniadis and D. Mitsouras and S.
                      Bartling$^*$ and Z. Arica and M. Stuber and F. J. Rybicki
                      and M. Nunninger and C. Erbel and P. Libby and G. D.
                      Giannoglou and H. A. Katus and G. Korosoglou},
      title        = {{C}ombined non-invasive assessment of endothelial shear
                      stress and molecular imaging of inflammation for the
                      prediction of inflamed plaque in hyperlipidaemic rabbit
                      aortas.},
      journal      = {European heart journal - cardiovascular imaging},
      volume       = {18},
      number       = {1},
      issn         = {2047-2412},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {DKFZ-2017-00857},
      pages        = {19 - 30},
      year         = {2017},
      abstract     = {To evaluate the incremental value of low endothelial shear
                      stress (ESS) combined with high-resolution magnetic
                      resonance imaging (MRI)- and computed tomography angiography
                      (CTA)-based imaging for the prediction of inflamed
                      plaque.Twelve hereditary hyperlipidaemic rabbits underwent
                      quantitative analysis of plaque in the thoracic aorta with
                      256-slice CTA and USPIO-enhanced (ultra-small
                      superparamagnetic nanoparticles, P904) 1.5-T MRI at baseline
                      and at 6-month follow-up. Computational fluid dynamics using
                      CTA-based 3D reconstruction of thoracic aortas identified
                      the ESS patterns in the convex and concave curvature
                      subsegments of interest. Subsegments with low baseline ESS
                      exhibited significant increase in wall thickness and plaque
                      inflammation by MRI, in non-calcified plaque burden by CTA,
                      and developed increased plaque size, lipid and inflammatory
                      cell accumulation (high-risk plaque features) at follow-up
                      by histopathology. Multiple regression analysis identified
                      baseline ESS and inflammation by MRI to be independent
                      predictors of plaque progression, while receiver operating
                      curve analysis revealed baseline ESS alone or in combination
                      with inflammation by MRI as the strongest predictor for
                      augmented plaque burden and inflammation (low ESS at
                      baseline: AUC = 0.84, P < 0.001; low ESS and inflammation by
                      molecular MRI at baseline: AUC = 0.89, P < 0.001).Low ESS
                      predicts progression of plaque burden and inflammation as
                      assessed by non-invasive USPIO-enhanced MRI. Combined
                      non-invasive assessment of ESS and imaging of inflammation
                      may serve to predict plaque with high-risk features.},
      cin          = {E020},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:27013245},
      pmc          = {pmc:PMC5217740},
      doi          = {10.1093/ehjci/jew048},
      url          = {https://inrepo02.dkfz.de/record/120428},
}