SPC365

Cardiac fat and microcalcification as surrogate markers of coronary atherogenesis

Session: Posters (Sessão 1 - Écran 1) - Imagem 1 - TC Cardíaca e Cardiologia Nuclear
Speaker: João Borges Rosa

Congress: CPC 2022
Topic: B. Imaging
Theme: 03. Imaging
Subtheme: 03.4 Nuclear Imaging
Session Type: Pósters Electrónicos
FP Number: ---
Authors: João Borges Rosa; José Lopes de Almeida; Manuel Oliveira-Santos; Rodolfo Silva; Nuno Pereira da Silva; Antero Abrunhosa; Miguel Castelo-Branco; Lino Gonçalves; Maria João Ferreira

<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.5pt">Introduction:</span></strong><span style="font-size:11.5pt"> Calcification plays a major role in coronary atherogenesis. Positron emission tomography (PET) imaging with fluorine-18 sodium fluoride (Na[<sup>18</sup>F]F) is able to detect microcalcification and is associated with cardiovascular (CV) risk factors. Thoracic fat volume (TFV) and epicardial adipose tissue (EAT) are associated with atherosclerosis, pro-inflammatory state, and CV events. We aimed to evaluate the association between Na[<sup>18</sup>F]F uptake and cardiac fat variables. </span></span></span></p>

<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.5pt">Methods: </span></strong><span style="font-size:11.5pt">Thirty-four high CV risk individuals without previous CV events were retrospectively scanned with Na[<sup>18</sup>F]F PET-CT.</span><strong> </strong><span style="font-size:11.5pt">Cardiac Na[<sup>18</sup>F]F uptake was assessed as global molecular calcification score (GMCS): the sum of the product of the mean standardized uptake value times the area of the cardiac regions of interest times the slice thickness for all cardiac transaxial slices, divided by the total number of slices.<strong> </strong>TFV was assessed in computed tomography (CT) using automated software to sum the voxels consisting of fat (threshold of -190 to -30 Hounsfield units) between the bifurcation of pulmonary artery and the end of pericardial sac. EAT was segmented manually tracing the counter of the pericardium with 3DSlicer and the final volume calculated using</span> <span style="font-size:11.5pt"><span style="background-color:white"><span style="color:#222222">the dedicated software. Coronary artery calcium score (CAC) was measured with </span></span></span><span style="font-size:11.5pt">dedicated software for calcium scoring (GE Healthcare Advantage Workstation 4.2).</span></span></span></p>

<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.5pt">Results:</span></strong><span style="font-size:11.5pt"> Thirty-four<strong> </strong>high CV risk individuals without previous CV events (50% with &ge;5 CV risk factors) were retrospectively scanned with Na[<sup>18</sup>F]F PET-CT. Mean age is 63.5&plusmn;7.8 years and 62% male. Median values are: GMCS 320.9 (240.8-402.8), TFV 167.8 (131.4-211.3) mL, EAT 81.3 (60.7-107.2) cm3, and CAC 0.0 (2.5-20.0). There is a positive correlation between GMCS and abdominal perimeter (r<sub>s</sub>=0.74), weight (r<sub>s</sub>=0.61), TFV (r<sub>s</sub>=0.47), and EAT (r<sub>s</sub>=0.41), all with p&le;0.01. Thoracic and epicardial fat volumes are strongly correlated (r<sub>s</sub>=0.80, p&lt;0.01). Both TFV and EAT are correlated with abdominal perimeter (r<sub>s</sub>=0.60, p&lt;0.01 and r<sub>s</sub>=0.46, p&lt;0.01, respectively) and weight (r<sub>s</sub>=0.47, p&lt;0.01 and r<sub>s</sub>=0.42, p=0.01, respectively). GMCS [356.7 (321.0-409.6) vs. 261.1 (225.6-342.1), p=0.01] and thoracic fat volume [184.3 (153.2-303.7) vs. 142.1 (90.0-173.1) mL, p=0.01] are higher in patients with &ge;5 CV risk factors, but not EAT [92.5 (62.0-145.7) vs. 76.7 (56.2-86.8) cm3, p=0.14]. Neither GMCS (r<sub>s</sub>=-0.06, p=0.77), TFV (r<sub>s</sub>=0.20, p&lt;0.32) nor EAT (r<sub>s</sub>=0.06, p&lt;0.76) are correlated with CAC score. </span></span></span></p>

<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:11.5pt">Conclusions: </span></strong><span style="font-size:11.5pt">In this exploratory analysis with high CV risk patients, the global cardiac microcalcification burden assessed by GMCS is associated with TFV and EAT, but there was no correlation between these variables and CAC. We hypothesize that both GMCS and cardiac fat variables might help to identify higher-risk patients in earlier phases than traditional CT.</span></span></span></p>