| Literature DB >> 30697458 |
Francesco Fiz1,2, Matteo Bauckneht3, Arnoldo Piccardo4, Cristina Campi5, Alberto Nieri3, Roberta Piva3, Giulia Ferrarazzo3, Nathan Artom6, Silvia Morbelli3, Cecilia Marini7, Michele Piana8,9, Marcello Bagnasco1, Marco Canepa10, Gianmario Sambuceti3.
Abstract
Increasing evidence links atherosclerosis to a decreased bone thickness. This correlation could reflect a bone/plaque interaction. Hereby we analyzed Hounsfield density (HU) and mineral turnover in bone and in the arterial calcifications (AC), using a computational method applied to PET/CT data. 79 18F-NaF PET/CT from patients with AC were retrospectively analyzed. Mean AC density and background-corrected uptake (TBR) were estimated after semi-automatic isocontour segmentation. The same values were assessed in the trabecular bone, using an automatic adaptive thresholding method. Patients were then stratified into terciles, according to their mean HU plaque density ("light", "medium" or "heavy" calcifications"). 35 18F-NaF PET/CT from patients without AC served as controls. Vertebral density and TBR were lower in patients than in controls (137±25 vs. 160±14 HU, P<0.001); (6.2±3.9 vs. 8.4±3.4, P<0.05). Mean trabecular TBR values were 8.3±4, 4.5±2.1 and 3.5±1.8 in light, medium and heavy AC groups, respectively (P<0.05 for light vs. medium and P<0.01 for light vs. heavy). Similarly, mean trabecular HU was 143±19, 127±26 and 119±18 in the three groups, respectively (P<0.01 for light vs. heavy). Mean AC density was inversely associated with the trabecular HU (R=-0.56, P<0.01). Conversely, plaques' TBR directly correlated with the one in trabecular bone (R=0.63, P<0.001). At multivariate analysis, the sole predictor of vertebral density was plaque HU (P<0.05). Our data highlight a correlation between plaque and bone morpho-functional parameters and suggest that observing skeletal bone characteristics could represent a novel window on atherosclerosis pathophysiology.Entities:
Keywords: Positron emission tomography; atherosclerosis; bone density; computational analysis
Year: 2018 PMID: 30697458 PMCID: PMC6334207
Source DB: PubMed Journal: Am J Nucl Med Mol Imaging