Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): The CARDIOCOV project - Prototype for personalized assessment of cardiovascular risk and post-Covid myocarditis based on artificial intelligence, advanced medical imaging and cloud computing - financed by UEFISCDI PN-III-P2-2.1-PTE-2021-0450 (Contract Number 108PTE/2022). Background Pericoronary fat attenuation index is a novel CT-derived marker used to quantify vascular inflammation at the level of coronary vessels. It has prognostic value for major adverse cardiovascular events and provides improvements in cardiac risk assessment beside classical risk factors and coronary artery calcium score. However, the influence of local factors related to coronary circulation in the right versus left coronary bed, on the development of pericoronary inflammation, has not been elucidated so far. Purpose The aim of the study was to evaluate the regional differences in the level of inflammation between right and left sided coronary arteries. Methods In total, 153 patients (mean age 62 years, male patients 70.5%) who underwent clinically indicated coronary computed tomography angiography (CCTA) were included in the study. All the plaque features classically associated with vulnerability were evaluated for identification of high-risk plaques. Fat attenuation index (FAI) and the corresponding FAI score (which takes into consideration the risk factors and age) were calculated for all cases at the level of the left anterior descending artery (LAD), circumflex artery (Cx) and right coronary artery (RCA). Results A total of 459 coronary arteries were included in the analysis and both FAI and FAI score were higher at the level of RCA compared with LAD and Cx. FAI score was 15.23±11.97 at RCA vs 10.55±6.78 at LAD and 11.48±6.5 for Cx, p = 0.02. Also, a significantly higher value of FAI at the level of RCA was noted in comparison with the other two coronary arteries: −76±7.68 HU for RCA compared to −73.04±8.9 HU for LAD and −71.25±7.47 HU for Cx, p<0.0001. This difference was maintained in all the study sub-group analysis: for patients undergoing CT scan after COVID infection (−75.49±7.62 HU for RCA vs -72.89±9.40 HU for Cx and −71.28 ±7.82 HU for LAD, p = 0.01), or patients with high-risk plaques (20.98±16.29 for RCA vs 11.77±7.68 for Cx and 12.83±6.47 for LAD, p = 0.03). Conclusion Plaques located in different coronary territories exhibit different vulnerability patterns and different levels of inflammation. RCA seems to have a more pronounced susceptibility to inflammation, right coronary plaques exhibiting higher scores of inflammation in the territories surrounding coronary plaques.

Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): The CARDIOCOV project - Prototype for personalized assessment of cardiovascular risk and post-Covid myocarditis based on artificial intelligence, advanced medical imaging and cloud computing - financed by UEFISCDI PN-III-P2-2.1-PTE-2021-0450 (Contract Number 108PTE/2022). Background Myocarditis following SARS-COV-2 infection has recently become a subject of concern, being detected in a significant number of post-COVID-19 patients who undergo cardiac magnetic resonance(CMR) examination. While the role of CMR in detecting presence of viral myocarditis has been well established, the CMR features associated with significant alteration of ventricular function in post-COVID patients are not clearly identified yet. Purpose The aim of the study was to investigate the role of myocardial edema (ME) at CMR for predicting the evolution of ventricular function in patients with COVID myocarditis. Methods In total, 55 patients with CMR signs of viral myocarditis following COVID-19 infection (52.72% males, mean age 36.85+/-16.29) were enrolled in the study. The delayed gadolinium enhancement phase-sensitive inversion recovery sequences were used for characterization of the myocardial tissue, and inversion recovery images showing high signal intensity were considered suggestive of edematous changes. Patients were divided into 2 study groups, according to the presence of myocardial edema at the moment of CMR evaluation: group 1 (n=18, 32.72%) - patients without ME, and group 2 (n=37, 67.27%)-patients with ME identified by CMR. In all patients, end-distolic and end-systolic volume indexes (EDVI and ESVI), ejection fraction (EF) and stroke volume (SV) were calculated. Results Compared to patients without ME, those with ME present at CMR were older n (42.9+/-14.8 vs. 36.7+/-16.6, p = 0.145) and more frequently males(59.4% vs. 38.8%). At the same time, EF was significantly lower in patients with ME(50.9+/-14.5% in group 2 vs. 58.4+/-10.2% in group 1, p = 0.03). Patients from group 2 also exhibited a more pronounced dilatation of ventricular cavities, as reflected by a significant increase of ventricular volumes and especially of the ESVI(109.8+/-125.9 versus 80.1+/-14.2, p = 0.5 for EDVI, and 65.2+/-109.1 vs. 30.0+/-11.4, p = 0.02 for ESVI). Compared to the group without ME, those with ME presented a significantly lower stroke volume index: 44.2+/-17.3 in group 1 vs. 47.7+/-7.5, p = 0.03 in group 2. Conclusions In patients with COVID-19 myocarditis, presence of ME at CMR imaging is associated with a worse evolution of the left ventricular function, as reflected by increased ventricular dilatation and decreased cardiac output in the post-COVID period.

Background: Cardiac arrest (CA) is the most severe complication of acute myocardial infarction (AMI). Besides the location and severity of coronary occlusion, different factors may have significant role in the pathogenesis of AMI-related cardiac arrest (CA), but their contribution is still under investigation. The aim of the study was to investigate the cardiac magnetic resonance (CMR) features of myocardial injury associated with a higher risk of CA accompanying an AMI. Methods: In total, 918 myocardial segments from 54 post-AMI patients undergoing CMR imaging with delayed gadolinium enhancement were enrolled in the study, of which 18.54% presented CA during the acute phase of AMI. In all patients, infarct mass, the proportion of high transmurality extent, and scar mass at different myocardial segments were calculated using QMap software (Medis BV). Results: Compared to patients without CA, those with CA had a significantly higher infarct size (p = 0.03) and a higher degree of transmurality (29.28% vs. 14.1%, p = 0.01). The risk of CA during the acute phase was significantly higher in patients in whom the location of myocardial injury was at the level of latero-apical, antero-lateral, and basal anterior segments. Group 1 presented a larger infarct size at the level of the latero-apical (33.9 ± 30.6 g vs. 13.6 ± 17.3 g, p = 0.02), anterolateral (26.5 ± 29.0 g vs. 8.9 ± 12.8 g, p = 0.02), and anterobasal segment (20.1 ± 21.5 g vs. 7.8 ± 14.7 g, p = 0.02). Conclusions: CMR imaging identified infarct mass, high transmurality degree, and large myocardial injury as features associated with an increased risk of CA in the acute phase of AMI, especially at the level of anterolateral segments.

Funding Acknowledgements Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This work was supported by the George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Research Grant number NR. 164 / 26 / 10.01.2023. Background Cardiac arrest (CA) is the most severe complication of acute myocardial infarction (AMI). The role of different factors related to the site and severity of coronary occlusion in the pathogenesis of AMI-related cardiac arrest is still under investigation. The aim of the study was to investigate the association between (1) different cardiac magnetic resonance (CMR) features associated with the location and severity of the myocardial injury, and (2) the risk of CA accompanying an AMI. Methods In total, 54 patients AMI undergoing post-AMI CMR imaging with delayed gadolinium enhancement were enrolled in the study. The study lot was divided into 2 groups: group 1–8 patients who survived a CA in the acute phase of AMI and group 2–46 patients, matched for age and gender, with AMI but without CA. In all patients, infarct mass, the proportion of high transmural extent, and scar mass at different myocardial segments were calculated using the QMap software (Medis BV). Results Compared to patients without CA, those with CA had a significantly higher infarct mass (47.9 +/- 38 g versus 23.3 g, p = 0.03), infarct mass % (26.9 +/ 17.3% vs 15.1 +/- 8.6 %, p = 0.02), and a higher degree of transmurality (29.28 +/- 20.2 % vs 14.1 +/- 9.2 %, p = 0.01). Location of myocardial injury at the level of latero-apical, anterolateral, and bazal anterior segments seemed to be more frequently associated with the risk of CA in the acute phase of AMI: infarct mass 33.9 +/- 30.6 g in group 1 vs 13.6 +/- 17.3 g in group 2, p = 0.02 for the latero-apical segment, 26.5 +/- 29.0 g in group 1 vs 8.9 +/- 12.8 g in group 2, p = 0.02 for the anterolateral segment, and 20.1 +/- 21.5 g in group 1 vs 7.8 +/- 14.7 g in group 2, p = 0.02 for anterobazal segment. Conclusions Myocardial mas, high transmural extent at CMR imaging, and a large myocardial injury identified by CMR at the level of the anterior and lateral ventricular segments seems to be associated with an increased risk of CA in the acute phase of AMI.