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Vascular reactivity in patients with undifferentiated connective tissue diseases
Authors:Ibanez Borja  Cimmino Giovanni  Bénézet-Mazuecos Juan  Santos-Gallego Carlos G  Pinero Antonio  Prat-González Susanna  Speidl Walter S  Fuster Valentin  García Mario J  Sanz Javier  Badimon Juan J
Institution:Rheumatology Unit, Department of Internal Medicine, University of Pisa, Italy.
Abstract:Assessment of changes in plaque volume is increasingly used as a surrogate-endpoint in clinical trials testing the efficacy of anti-atherosclerotic interventions. Multi-detector computed tomography (MDCT) can detect and quantify non-calcified atherosclerotic plaques, but its ability to monitor changes in plaque volume has not yet been tested.We sought to test the ability of MDCT to detect and quantify serial changes in atheroma burden in comparison with magnetic resonance imaging (MRI).MethodsRabbits (n = 12) with experimentally induced abdominal atherosclerosis were randomized to receive a plaque-regressing agent (recombinant apoA-IMilano, n = 8) or placebo (n = 4). All animals underwent two 64-slice MDCT angiography and MRI studies (pre- and post-treatment). The primary endpoint was the change in plaque burden (defined as vessel wall volume in the 5 cm distal to the left renal artery) between pre- and post-treatment MDCT in comparison with MRI.ResultsMDCT detected a significant decrease in plaque burden caused by recombinant apoA-IMilano (464 423–535] to 405 363–435] mm3, p = 0.03) that was confirmed by MRI (324 286–412] to 298 282–399] mm3, p = 0.03). No significant effect was noted in the placebo group either by MDCT or MRI. There were strong correlations between both modalities for the quantification of plaque burden (r = 0.750, p < 0.001) and change in plaque burden (r = 0.657, p = 0.020). MDCT overestimated plaque burden compared to MRI.On MDCT, the mean interobserver variability for plaque burden was 2.5 ± 0.4%.ConclusionsIn an animal model of atherosclerosis, MDCT accurately documented serial changes in aortic plaque burden, demonstrating good correlation and agreement with MRI-derived measurements and low interobserver variability.
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