Fiz Francesco, Bauckneht Matteo, Piccardo Arnoldo, Campi Cristina, Nieri Alberto, Piva Roberta, Ferrarazzo Giulia, Artom Nathan, Morbelli Silvia, Marini Cecilia, Piana Michele, Bagnasco Marcello, Canepa Marco, Sambuceti Gianmario
Department of Internal Medicine, University of Genoa Italy.
Nuclear Medicine Unit, Department of Radiology, University of Tübingen Germany.
Am J Nucl Med Mol Imaging. 2018 Dec 20;8(6):387-396. eCollection 2018.
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 F-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 F-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.
越来越多的证据表明动脉粥样硬化与骨厚度降低有关。这种相关性可能反映了骨与斑块之间的相互作用。在此,我们使用一种应用于PET/CT数据的计算方法,分析了骨和动脉钙化(AC)中的亨氏密度(HU)以及矿物质周转率。对79例患有AC的患者的F-NaF PET/CT进行了回顾性分析。在半自动等轮廓分割后估计平均AC密度和背景校正摄取量(TBR)。使用自动自适应阈值法在小梁骨中评估相同的值。然后根据患者的平均HU斑块密度(“轻度”、“中度”或“重度”钙化)将患者分层为三分位数。35例无AC患者的F-NaF PET/CT作为对照。患者的椎体密度和TBR低于对照组(137±25 vs. 160±14 HU,P<0.001);(6.2±3.9 vs. 8.4±3.4,P<0.05)。轻度、中度和重度AC组的平均小梁TBR值分别为8.3±4、4.5±2.1和3.5±1.8(轻度与中度相比P<0.05,轻度与重度相比P<0.01)。同样,三组的平均小梁HU分别为143±19、127±26和119±18(轻度与重度相比P<0.01)。平均AC密度与小梁HU呈负相关(R=-0.56,P<0.01)。相反,斑块的TBR与小梁骨中的TBR直接相关(R=0.63,P<0.001)。在多变量分析中,椎体密度唯一的预测因素是斑块HU(P<0.05)。我们的数据突出了斑块与骨形态功能参数之间的相关性,并表明观察骨骼特征可能代表了动脉粥样硬化病理生理学的一个新窗口。