Computed Tomography Research Articles

White Smoke in the Intermediate risk PE debate, could POPE be the solution?

Abstract Introduction In spite of a multitude of innovative therapeutic strategies emerging in the past decade, acute pulmonary embolism (PE) remains a potentially fatal disease. However, mortality varies significantly according to risk stratification, substantiating current recommendations to use reperfusion therapy only in hemodynamically unstable patients. There is an ongoing debate around whether hemodynamically stable patients showing signs of right ventricle dysfunction and myocardial injury (intermediate-high risk acute PE) may also benefit from reperfusion therapy. While the majority of patients in this category typically improve with anticoagulation alone, up to 10% may experience clinical deterioration. Aim We aimed to characterize the clinical in-hospital progression of patients with intermediate-risk PE and to evaluate the discriminative efficacy of PE scores in anticipating unfavorable clinical outcomes. Methods We conducted a retrospective observational study in patients admitted with the diagnosis of PE classified as intermediate risk in a tertiary center. Clinical, laboratory and ECG data were obtained. The BOVA score, the News score and the Pope score were evaluated. A composite endpoint of in-hospital mortality and use of reperfusion therapy due to hemodynamic deterioration was defined. Predictive abilities of these three scores were compared using area under the receiver operating characteristics (AUC-ROC) curve. Results From January 2019 to December 2020, a total of 166 patients were admitted with acute PE, classified as intermediate-risk, in our center. The mean age 71.9 ± 16.2 years and 57.2% were female. 71.1% of the pts showed bilateral PE in chest CT. The composite endpoint of in-hospital mortality and reperfusion therapy due to hemodynamic deterioration occurred in 9.8% of the pts. The median BOVA score was 3 (2-4), the median POPE score was 1 (0-2) and the median News score was 4 (2-6). The ROC curve analysis showed a significant higher discriminative power of POPE score compared to the other scores (AUC 0.856 95%CI 0.79–.92, p<0.001) (Fig1). Compared to patients with a POPE score 1, the composite endpoint was 4,6 times higher in patients with higher scores (OR 4.6 95%CI 1.63- 6914, p=0.029) (Fig2). Conclusion Despite classification as intermediate risk, these patients displayed a non-negligible in-hospital mortality rate. Close clinical monitoring is warranted in this group of pts and there is pressing need for an early identification of those who might benefit from more than just anticoagulation. In our population POPE score showed to be a simple and accurate tool in predicting those with an unfavorable evolution that could have benefitted from more advanced intervention.

Deep learning enables the fully automated quantification of high-resolution cardiac CT images: human in loop for model development

Abstract Introduction Cardiac computed tomography (CCT) images provide vast spatial and temporal information. Segmentation of the structure of interest is necessary to provide quantitative information. However, manual segmentation of cardiac substructures is highly time-consuming. Objective This study aims to develop a robust deep-learning segmentation model for cardiac substructure segmentation in 3D CCT images. Method We initially developed a 3D U-Net architecture, incorporating extensive augmentation, for the segmentation of the Left Ventricle Myocardium (LVM), the blood cavities of the Left and Right Ventricles (LV, RV), and the Left and Right Atria (LA, RA). This model utilized CT images from 20 patients who had available manual segmentation. Subsequently, we applied this initial model to datasets from two centers, including different generations of scanners. We then visually inspected the segmentation, selected the highest-quality segmentations, and modify it if necessary, and excluded the low-quality data. We continued fine-tuning the model with the new dataset until we reached a count of 456 patients. As there were multiple images from one patient during this model's development, we generated datasets to develop a new model using the entire new dataset to avoid any data leakage in the reported metrics. The model was developed using data from Center 1 (5-fold cross-validation) and then evaluated on an external test set from Center 2 (126 patients) and also 4D images from Center 1. Various metrics were calculated to assess the model's performance. Results In the internal test set, utilizing 5-fold CV, the model demonstrated high segmentation accuracy, achieving an overall Dice coefficient of 0.98, with individual scores of 0.96 for LVM, 0.98 for LV, 0.98 for RV, 0.99 for RA, and 0.98 for LA. We assessed the automatic quantification capability of the segmentation model from 256 patients, resulting in an R2 value greater than 0.92 for both LV end-diastolic and systolic volumes. In contrast, the model maintained robust performance on the external dataset, achieving an overall Dice coefficient of 0.96, with individual scores of 0.95 for LVM, 0.98 for LV, 0.97 for RV, 0.98 for RA, and 0.94 for LA. Conclusion We provided a large cohort of ground truth segmentations for different cardiac CT substructures using a human-in-the-loop strategy. Subsequently, we developed a deep learning model for highly accurate automated segmentation of these substructures. This model allows for fast and fully automatic segmentation and quantification of 3D and 4D cardiac CT images, from which various quantitative metrics can be extracted from different cardiac substructures.

Detection of biventricular volume increase in overweight and obese by using a novel index of the ideal human - a single center non-contrast-enhanced cardiac CT study

Abstract The bi-ventricular volume (BVV) can be measured from non-contrast-enhanced CT images in patients referred for coronary artery calcium (CAC) scoring. Such determined BVV has been found to correlate with left ventricular mass and to predict increased risk of all-cause and CV mortality in patients with type 2 diabetes mellitus. Currently, no data are available that quantifying the effect of body size on BVV using NCE-CT. We used a new indexing parameter that consisted of two parts: height and the difference between numerical values of height and body surface area (BSA). In the "ideal human", the difference is zero. Any deviation from this value determines the share of body mass regardless of height. Aim We hypothesize that a novel indexation way allows for better discrimination of the increased bi-ventricular volume in overweight and obese patients. Method We retrospectively analyzed the CT data from 2466 patients with CAC scoring over the last 15 years. Among them 1606 women and 860 men with an average age of 64 ± 11 years (range 21-93). The fatless bi-ventricular volume was measured manually using commercial software on a dedicated workstation (Vitrea2). Values of the raw (measured, ml) BVV and BVV normalized for height, BSA, and the novel parameter i.e. [h+ (h-BSA)], were compared in patients taking into account body mass index (BMI) categories of normal weight (25% of patients), overweight (40%) and obese (35%). Results Overall, the measured BVV [ml] was significantly greater in males (414±97) than in females (297±66) (p<0.001). BVV decreased non-linearly from before 40ties to mid-60ties, and then remained nearly stable. In normal-weight males, the measured BVV (370±80ml) was greater than in normal-weight females (279±61ml) (p<0.001). In overweight males, the BVV was 411±89ml; in overweight females, the BVV reached 290±59ml (p<0.001). These differences were non-significantly different from the sample of patients with normal BMI. In obese patients, mean values significantly differed between males and females (442±106 vs 321±71 ml, p<0.001). As the absolute value of the BVV should be interpreted in the context of body habitus, normalization for height, BSA, and the novel index were used. The results of these examinations are given in the figure. Conclusions Commonly used methods of indexing the volumetric parameters of the ventricles, as well as the novel indexing approach showed similar results in patients with normal body weight. The proposed indexation allowed for discriminating the increase in BVV that is easy to overlook in overweight. The use of body surface area for volumetric normalization is misleading as it provides similar values in normal, overweight, and obese patients, and should therefore be avoided. We should consider whether ventricular size standards based on a study population under 50 years of age create reliable conditions for detecting ventricular enlargement at an older age.

A severity comparison of leukoaraiosis in ischemic and hemorrhagic stroke: a retrospective study

IntroductionLeukoaraiosis (LA) is a common neuroradiological finding in patients suffering from stroke. Cerebral small-vessel disease (SVD) is one of the primary causes of both ischemic stroke and hemorrhagic stroke (intracerebral hemorrhage, ICH) and the development of LA. Significant evidence that LA predicts the risk of functional dependency and mortality exists. However, studies examining the difference in LA severity between ischemic stroke and hemorrhagic stroke are lacking. We therefore aimed to compare the severity and abundance of LA in the two stroke subgroups.MethodsAll patients admitted to the Department of Neurology, Haukeland University Hospital, with an ischemic stroke and intracerebral hemorrhagic (ICH) stroke diagnosed between 2006 and 2020 were included in the study. We collected patient data on risk factors and clinical and radiological findings and outcomes from our local stroke registry. The presence and severity of LA were assessed using the Fazekas score based on CT imaging. We evaluated the outcome using the modified Rankin Score (mRS) 7 days post-stroke.ResultsA total of 5,084 patients were included in our analyses: 4437 (87%) with ischemic stroke and 647 (13%) with ICH. LA was present in 2476 (45%) patients. In our ordinal logistic regression model, adjusting for age, sex, known hypertension, known diabetes mellitus, and smoking, LA was more severe and more abundant in ICH patients compared to ischemic stroke patients (Fazekas score: 1, OR: 1.54; Fazekas score: 2, OR: 1.88; and Fazekas score: 3, OR 2.13; p < 0.001). Increasing severity of LA was associated with worse functional outcomes in both groups (ischemic stroke, OR: 1.49; p < 0.001 and ICH, OR: 1.36; p < 0.025).ConclusionIn this study, LA was more severe and abundant in patients with ICH.

Biomechanical Analysis and Modeling of Different Traction Patterns in Adolescent Idiopathic Scoliosis

Objective: Traction is a valuable treatment for Adolescent idiopathic scoliosis; however, assessing its biomechanical effects, particularly with new methods, presents challenges. This study aims to explore the biomechanics using finite element analysis, with the goal of enhancing safety and effectiveness. Methods: Based on CT images, two different boundary and loads were applied to simulate two traction methods. The effects of these two traction methods on stress and deformation of lumbar vertebral bodies and intervertebral discs were compared. Results: Under two traction methods, the stress was concentrated on the posterior side. Multi-point traction resulted in higher stress and deformation, and concentrated stress on the convex side as well. However, there is some stress concentration on the vertebral arch, which may lead to injury. Conclusion: Compared to longitudinal traction, multi-point traction can better reduce stress on the vertebral bodies and intervertebral discs, focusing the pulling force on the concave side and achieving greater deformation. Multi-point traction might better suit specific patients needing more correction and pressure relief compared to longitudinal traction.

Prevalence, characteristics and significance of anomalous coronary arteries in adults undergoing cardiac CT scans

Abstract Background/introduction The widespread use of CT coronary angiogram (CTCA) for the evaluation of patients with suspected coronary artery disease has resulted in increased identification of anomalous coronary arteries. These are often incidental findings and their prevalence and significance remains unknown. Purpose To identify the prevalence, characteristics and significance of anomalous coronary arteries in patient undergoing cardiac CT for suspected coronary artery disease. Methods This is a retrospective analysis of all cardiac CT scans (n= 5727 CTCAs) performed at two tertiary centres in the UK from 2015 to 2022. For the purpose of this study, we excluded separate LAD and circumflex artery coronary origins given it is clinical non-significance. Results Eighty three patients (1.45%) were identified as having anomalous coronary arteries. The average age of patients with anomalous coronary arteries was 57 years (range 18 - 86 years) and 36% were female. The most common coronary anomaly was the left circumflex artery arising from the right side (49 patients, 59%) and all had a retroaortic course. This was followed by an anomalous right coronary artery arising from the left side (29 patients, 35%) with 93% of them taking an interarterial course whilst 7% had a subpulmonic course. We also identified an anomalous left main stem (14 patients, 17%) arising from the right side (5 retroaortic, 5 subpulmonic, 2 prepulmonic, 1 anterior and 1 interarterial course). Four patients (5%) had an anomalous LAD arising from the right (2 prepulmonic, 1 subpulmonic and 1 anterior course). Four patients had other coronary anomalies (left circumflex artery arising from right pulmonary artery, OM arising from left ventricle, congenital atresia of left main stem and an ALCAPA). Majority of the patients with an anomalous coronary artery taking an interarterial course underwent a stress test. During a mean follow-up period of 4 years, four patients (5%) underwent cardiac surgery for treatment of anomalous coronary artery (ALCAPA, left main stem atresia and two anomalous right with interarterial course), seven patients underwent cardiac surgery for other reasons (significant atherosclerotic coronary artery disease and/or valve disease), five patients underwent PCI for treatment of atherosclerotic coronary artery disease and two patients died for reasons unrelated to their coronary anomaly. Conclusion This study of a large and unselected cohort of CTCA patients demonstrates an overall prevalence of coronary artery anomalies (as defined above) of 1.45%. We also report the prevalence and characteristics of different coronary anomalies and their outcomes. In the majority of patients, coronary artery anomalies are incidental findings and can be managed conservatively.

3D target definition and initial results from the electroanatomic substrate-guided stereotactic ablative radiotherapy for refractory ventricular tachycardia (ELSTAR-VT)

Abstract Background/introduction Noninvasive stereotactic radiotherapy (STAR) is an emerging transmural ablative therapy for refractory ventricular tachycardia (VT). Delineation of the arrhythmogenic gross target volume (GTV) relies on electrical (exit and isthmus) VT characteristics and anatomical scar detailing. 17-AHA segmental approaches or eyeballing techniques are adopted to transfer the GTV to the treatment planning CT. An individualized 3D GTV delineated with ADAS3D based on the areas of interest of each modality could lead to a smaller GTV compared to 17-AHA segmental approaches. Purpose We investigated whether our workflow using ADAS3D for the delineating of the GTV renders smaller GTV compared to 17-AHA segmental approaches whilst remaining effective for VT treatment during follow-up. Methods We targeted 3D-personalized GTV with STAR in patients with refractory VT in structural heart disease. Electroanatomical detailing was achieved by combining high-resolution invasive and noninvasive (ECG imaging during noninvasive programmed stimulation) mapping, combined with wall thickness analyses by cardiac CT. After coregistration in ADAS3D, a 3D DICOM-radiation therapy file including the delineated target volume was generated and transferred into the free-breathing and respiration-corrected 4D CT scan. Standard STAR using a single-fraction of 20-25 Gy was applied. We compared conventional (17-AHA segmental approaches) versus 3D-based GTV demarcation, and assessed VT burden and procedural safety. Results From January 2023 to February 2024 STAR was successfully performed in three patients (all male, mean age 73±1 years, two ischemic cardiomyopathy, one laminopathy) with persistent VT despite ≥2 catheter-based (endocardial/epicardial) ablation procedures. The 3D-derived GTVs showed a statistical trend towards smaller volumes compared to conventional segmental delineation (11±4 versus 21±3 cm3, p=0.07). VT burden and ICD therapy was reduced by 100% over 9 patients-months (8-week blanking period). No acute or subacute adverse events occurred. One patient died of progressive heart failure. Conclusion 3D-individualized target volume annotation may hold promise for effective and safe STAR employment.ELSTAR workflow

CT-perfusion quantitation of cardiac infarct size - a novel technique

Abstract Introduction Cardiac infarct size is associated with cardiac prognosis after AMI. Cardiac CT is able to delineate both coronary anatomy and myocardial pefusion. Thus far, CT identification of infarction has been qualitative. We describe a novel technique for quantitation of myocardial infarct size in CT-perfusion imaging. Methods Patient Population comprised 51 patients that were previously clinically diagnosed with myocardial infarction on the basis of clinical presentation, ECG findings and elevated cardiac enzymes. CTP Imaging All patients had undergone dynamic rest, vasodilator-stress, rest, delayed enhancement CT perfusion imaging performed on a dual-source, third generation scanner (FORCE, Siemens Healthcare). Image Analysis 2 trained investigators independently quantified the infarct volume in 51 patient studies using Siemens SmartSimulator software. Mean ± SD HU were taken from a 1cm² circular ROI of normal myocardium used in a thresholding method. The epicardium and endocardium of infarcted areas were manually contoured from apex to base. Volumetric measurements were obtained of the infarct and total myocardium. Interpolation of contours for segmentation objects was performed. Subtraction of left ventricle cavity from total left ventricle allowed volumetric measurements of total left ventricular myocardium. ROIs of the infarct were estimated using SDs above mean HU of normal myocardium (0.5, 1, 1.5 and 2 SDs) in delayed imaging. Selection of optimal threshold HU was based on visual assessment that best mapped the hyperenhanced infarct area. This allowed volumetric asessment of infarct and total myocardium. Inter-investigator variability was evaluated with Bland-Altman and Intra-Class Correlation Coefficient (ICC). Results Patient characteristics are follow: Age 60.20±11.35 years, 41(89%)male, BMI 25.41±4.17kg/m², Hypertension 23(50%), diabetes 10(22%), hyperlipidemia 40(87%), smoking 7(15%), family history of premature CAD 4(8.7%), previous PCI 45(97.8%). In 51 patients, 23(41%), 24 (46%) & 5(10%) of the infarctions were quantitated as being medium-sized (10%-20%), large (20% -30%) and very large (>30%). Thirty-seven (70%), 6 (11%) & 10(19%) involved the LAD, LCx and RCA territories respectively. 49 (94%) of infarctions were transmural. Identical thresholding was selected by both investigators for each SD above mean (mean 1.42; SD 0.46). 93% of the total cases were within a set threshold of 1 to 2 SDs above the mean HU for both. Interclass correlation coefficient was 0.95, CI range 0.90 – 0.97. Bland-Altman analysis did not demonstrate systemic variations or proportional bias from the plot. Conclusion The study suggests that a method of quantifying cardiac infarct size using a threshold technique and delayed hyperenhancement images with dynamic perfusion imaging is clinically feasible and consistent.Rest-Stress-Delayed Enhancement infarct

Impact of systolic blood pressure on epicardial adipose tissue in patients with chronic coronary artery disease

Abstract Objectives The current study aimed to investigate the impact of systolic blood pressure (SBP) on epicardial adipose tissue (EAT) volume in a large, multi-center cohort of patients with chronic coronary artery disease (CAD). Methods We included 879 patients with CAD (mean age: 58±11 years; 294 females; 72% Chinese, 20% Indian/Malay, 8% Others) in the APOLLO study. The EAT volume was measured using non-contrast computed tomography (CT) imaging. The contour of the pericardium was traced from the pulmonary artery bifurcation to the apex of the heart. CT attenuation between -190 and -30 Hounsfield units (HU) was used to select the EAT on every axial slice. The EAT volumes were automatically calculated from 3-dimensional fat voxels at each axial slice, which were then summed to obtain the total EAT volume (Figure 1). Results EAT volume was positively correlated with age (r=0.261, P<0.0001). With a one-year increase in age, the EAT volume was found to increase by 1.5 cm3, adjusting for other confounders. The mean EAT volume for males was 8.3 cm3 higher than for females (P=0.015). Patients with hypertension had significantly higher EAT volume (134±51 vs. 114±48 cm3, P<0.0001) compared to those without hypertension. Multivariable analysis adjusted for age, gender and other cardiac risk factors showed that the presence of hypertension (P=0.043) was independently associated with EAT volume. Compared to the highest SBP tertile (≥148 mmHg), those in the lowest SBP tertile (≤132 mmHg) had lower EAT volume (117±52 vs. 128±51 cm3, P=0.007). When examined as a continuous variable, higher SBP was significantly associated with higher EAT volume: for every 10mmHg increase in SBP, EAT volume increased by 2.6 cm3. Conclusion The study found a significant association between hypertension and increased EAT volume, emphasizing the importance of managing hypertension to reduce cardiovascular risk.

A Case of A Middle-Aged Woman with Cor Triatriatum Dexter and Sick Sinus Syndrome: Comprehensive Cardiovascular Evaluation

This case study discusses a 51-year-old woman with a complex cardiovascular condition, cor triatriatum dexter, complicated by sick sinus syndrome. The patient presented with a history of bradycardia, dizziness, and amaurosis, and was admitted to the emergency department due to numbness in her right limb. Diagnostic examinations, including computed tomography (CT) and cardiac color-ultrasound screening, revealed cor triatriatum dexter along with an enlarged left atrium and ventricle. Additional findings included the absence of the inferior vena cava and polysplenic syndrome. Based on these results, double-chamber pacemaker surgery was recommended, supported by cardiac and thoracic-abdominal CT angiography and three-dimensional vascular reconstruction. This case underscores the importance of comprehensive examinations in identifying associated cardiovascular abnormalities.

Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.

Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds significant clinical value for diagnosing temporomandibular joint osteoarthrosis (TMJOA) and related conditions. Convolutional neural network-based medical image segmentation methods have achieved state-of-the-art performance in various segmentation tasks. However, 3D medical images segmentation requires substantial global context and rich spatial semantic information, demanding much more GPU memory and computational resources. To address these challenges in 3D medical image segmentation, we propose a novel network- the MVEL-Net (Multi-view Ensemble Learning Network) for TMJ CBCT image segmentation. By resampling images along three dimensions, we generate multiple weak learners with different spatial semantic information. A subsequent strong learning network effectively integrates the outputs from these weak learners to achieve more accurate segmentation results. We evaluated our network model using a clinical dataset comprising 88 subjects with TMJ CBCT images. The average Dice similarity coefficient (DSC) was 0.9817 ± 0.0049, the average surface distance was 0.0540 ± 0.0179mm, and the 95% Hausdorff distance was 0.1743 ± 0.0550mm. Our proposed MVEL-Net demonstrates excellent segmentation performance on TMJ from CBCT images, while using fewer GPU memory resources compared to other 3D networks. The effectiveness of this method in capturing spatial context could be leveraged for tasks like organ segmentation from volumetric scans. This may facilitate wider adoption of AI-based solutions for automated analysis of 3D medical images.

Deep learning detection of subclinical cardiovascular dysfunction in type 2 diabetes through retinal photography

Abstract Background Type 2 diabetes (T2D) is associated with excess atherosclerotic coronary disease and heart failure risk, with several cardiac abnormalities described in asymptomatic patients. Routine digital retinal photography performed for screening of diabetic retinopathy (DR) has the potential to identify patients with underlying cardiovascular disease (CVD). We aimed to determine whether features extracted from digital retinal photographs could detect subclinical cardiovascular dysfunction in asymptomatic people with T2D. Methods We prospectively enrolled adults with T2D and no history or symptoms of CVD to undergo extensive phenotyping with multiparametric stress perfusion cardiac MRI and CT coronary artery calcium scoring. Digital retinal photographs acquired for routine diabetic eye screening and performed within one year of cardiac evaluation were interrogated for retinopathy grading and using four deep learning (DL) models (Xception, Inception, EfficientNet, and MobileNet) to capture complex patterns within the retinal vasculature. Each subject had four retinal photographs (two of each eye) for DL analysis. Cardiac image analysis was performed blinded to participant details and independent of retinal images. Subjects with and without DR were compared. Participants were divided into training (80%) and validation datasets (20%) prior to DL analysis. DL models employed to predict from retinal images: presence or absence of coronary artery calcium on non-contrast CT, myocardial perfusion reserve <2.5, left ventricular (LV) global longitudinal strain <16%, absolute stress and rest myocardial blood flood (mL/g/min) used as continuous variables. AUC was used to assess the ability of DL models to discriminate between those without and without subclinical CVD. Results An initial 254 subjects (comprising 1,016 retinal photographs) were included in the analysis: 212 (83%) with no DR, 42 (17%) with grade 1 (mild background) DR. Key cardiac imaging parameters in subjects with and without DR are displayed in Table 1. The groups were well matched for age, sex, body mass index and blood pressure. Overall, those with grade 1 DR had higher atheroma burden, evidence of increased LV filling pressures (E/e’) and poorer systolic function, but no differences in stress and rest myocardial blood flow or myocardial perfusion reserve. However, all four DL models failed to achieve sufficient discrimination of any of the evaluated cardiac imaging parameters, with the majority achieving AUC scores below 50% for all cardiac parameters. Conclusion Asymptomatic adults with grade 1 DR exhibit more subclinical atherosclerosis and cardiovascular dysfunction than those without DR. However, DL transfer models could not discriminate between subjects with and without cardiovascular disease. Further work is needed to better define whether retinal screening may be used to identify those people with T2D most at risk of underlying cardiovascular disease.Subjects demographics

Validation of quantitative aortic valve calcification assessment by photon-counting computed tomography from contrast-enhanced data sets using virtual non-contrast reconstructions

Abstract Background The spectral information of photon-counting computed tomography (PCCT) permits the reconstruction of energy-selective images. Purpose We evaluated two methods for the reconstruction of virtual non-contrast-enhanced images from contrast-enhanced CT angiographic data sets regarding their ability to quantify aortic valve calcification. Results were validated by comparison to non-enhanced computed tomography. Methods A total of 100 subjects with severe aortic valve stenosis who underwent ECG-synchronized cardiac photon-counting CT for diagnostic workup prior to transcatheter aortic valve implantation (TAVI) were included in the current analysis. A standard true non-contrast acquisition was performed for aortic valve calcium quantification in each subject. In addition, two virtual non-enhanced data sets were reconstructed from contrast-enhanced CT angiographic data: a calcium-specific image ("pure calcium scan", PCS) and a virtual non-contrast (VNC) scan by subtraction of iodine. The PCS algorithm separates calcium and iodine in spectral PCCT images, creating a non-calcium mask for denoised spectral input and preserving calcium contrast in final material decomposition. Iodine extraction is achieved by measurement of the iodine content and its differentiation from native soft tissue attenuation. The Agatston Score was assessed in each of the three image data sets using semi-automated software. Results The mean age of the subjects was 78 ± 7 years, 66% were male. Mean EUROSCORE II was 4 ± 4%, mean STS Score for morbidity and mortality was 16 ± 11%. In the true non-contrast scan used for validation, the mean Agatston Score was 3028 ± 1820. The mean Agatston Score obtained from the PCS data set was 3004 ± 2042 and did not differ significantly from true non—contrast image sets (p=0.716). In the VNC data sets, the mean Agatston score was 1726 ± 1288, significantly lower than in the true non-contrast and the PCS data sets (both <0.001). Both, PCS and VNC data showed a significant correlation with true non-contrast scans (correlation coefficient PCS: 0.978, VNC scan: 0.975, both p<0.001). Conclusion In conclusion, the current results show the possibility to reliably quantify the Agatston Score of larger cardiac calcifications in virtual non-contrast data sets – however, there is substantial influence of the algorithm that is used so that validation of new techniques is of key importance.

Comparison between coronary calcium score and segment involvement score when used in clinical routine

Abstract Data from a nationwide registry on coronary computer tomography angiography. Background The Coronary Artery Calcium Score (CACS) and segment involvement score (SIS) are crucial factors in assessing the severity of coronary artery disease (CAD) and determining the likelihood of future cardiovascular events. However, there are few large multicenter studies comparing the predictive value of CACS and SIS when used in the clinical routine. Objectives To compare CACS and SIS ability to predict cardiovascular outcomes when used in the clinical routine. Methods This retrospective cohort study included patients who underwent Coronary Computed Tomography Angiography (CCTA) for CAD evaluation between 2006-2022 in 29 different centers in Sweden. CACS was calculated using the Agatston method, and SIS was determined based on the number of coronary segments exhibiting plaque. For SIS, patients were categorized into SIS=0, SIS=1, SIS=2, SIS=3, SIS³4, for CACS patients were categorized into CACS=0, CACS=1-9, CACS=10-99, CACS=100-299, CACS³300. Patients were followed regarding the primary outcome of death or myocardial infarction. Multivariable Cox proportional hazards models were used for adjusting for potential confounders. Results A total of 23034 patients underwent CCTA and were followed for up to ten years. Median age (IQR) was 58 (49–67) years, 50% were women, 9% had diabetes mellitus, 42% had hypertension, 25% had hyperlipidemia, 5% had previously known CAD. There were 955 patients (4.1%) with myocardial infarction (MI) and 409 patients (2.2%) died during follow up. There was an increase in cardiovascular events with increasing SIS. When comparing SIS and presence of obstructive stenosis, SIS was a better predictor of outcome (Figure 1). There was also an increase cardiovascular events with increasing CACS (Figure 2). When adjusted for age, sex, risk factors, previous cardiovascular disease and intervention, both SIS and CACS were independently associated with outcome. When SIS and CACS were compared in a receiver operating characteristic curve, CACS had significantly larger AUC than SIS, (0.70[0.67-0.73] vs 0.62[0.60-0.63]). Conclusion Our findings show that both CACS and SIS are important and independent predictors of cardiovascular outcomes thereby offering a valuable tool for personalized risk stratification and management in clinical settings. When used in the clinical routine, CACS appears to be more strongly associated with outcome than SIS.Figure1 Survival SISFigure 2 Survival CACS

Feasibility of ultra-low volume contrast pulmonary arterial injection protocol for CTA in TAVI candidates with severe renal failure

Abstract Introduction Computer tomography angiography (CTA) has an important role in patient screening before TAVI. The high volumes of iodinated contrast media (CM) injected during the examination represents the main limitation of CTA with a dose-dependent association with contrast-induced nephropathy. Purpose Show the feasibility of an ultra-low-dose CM pulmonary arterial injection protocol for CTA in TAVI candidates in high risk patients with severe renal failure. Methods In our retrospective study seventy-seven (77) patients with CKD on stage 3b or worse (eGFR ≤ 45/min/1.73 m2) underwent pre-procedural CTA for TAVI-planning with a pulmonary arterial administration of CM. All CTA examinations were performed using a Dual Source 256-slice CT system. All enhanced CT acquisitions were performed using our dedicated biphasic injection protocol composed of two connected phases of contrast medium injection using different amount of CM (8, 10, 15 and 20 ml) according to BMI (<22 kg/m2; 22-24 kg/m2; 24-28 kg/m2; >28 kg/m2). The CM was administered directly into the pulmonary artery in all patients. For each examination was measured Intraluminal attenuation at thoraco-abdominal aorta and along the ilio-femoral vessels using the ROI (mean SD in HU) as objective image parameters (Picture 1). Serum creatinine and the eGFR were recorded pre-TAVI CT scan and after the procedures as reference of CM to renal function. Results CTA was successfully performed in all patients. Mean creatinine was 2.25 ± 0,76 mg/dL and mean GFR was 26.5± 8.1 mL/min/m2. Mean vessel attenuation was 352±164 HU at the aortic annulus, 238.1 ± 141,3 HU in the aortic arch and 266±168 in the iliac arteries (Picture 2). The mean image noise was 28.2 ± 7 HU in the aortic annulus, 24.4 ± 10,9 in the right external iliac artery, and 25. ± 12,8 HU in the left external iliac artery. After CTA examination, a total of 74 patients (96%) underwent TAVI. Mean CM dose administered during TAVI procedure was 150,6 ± 85,8. Three patients (3.9%) were abolished for TAVI. Postprocedural settings complications were recorded. A total of 31 patients (41%) had grade 1 paravalvular regurgitation, 10 patients (14%) grade 2. No cases of valve embolization or anulus rupture occured. No major vascular complications occured. No significant differences between creatine and eGFR pre and post procedures (p<0,001). Conclusions The use of an ultra-low-dose CM pulmonary arterial injection protocol for CTA in TAVI candidates does not affect the renal function and procedural success rate is high and the clinical outcomes after TAVI is satisfactory according to the litterature.

Epidemiological, clinical, paraclinical, evolutionary, and therapeutic aspects of hypertensive patients infected by COVID-19: about 702 patients in our city

Abstract Introduction Hypertension (HT) is a major cardiovascular risk factor frequently observed in COVID-19 patients. This study aimed to determine the frequency of hypertensive patients infected with COVID-19 at a national hospital, describe their epidemiological, clinical, paraclinical, and therapeutic profile, their disease progression, and identify factors associated with death. Methodology A retrospective, descriptive, and analytical study was conducted over 24 months and 4 days, from 27 March 2020 to 30 March 2022, at national hospital. Included were hospitalized patients at a hospital with a confirmed COVID-19 diagnosis, known hypertensives, regardless of gender, and with a hospitalization record. COVID-19 diagnosis was based on a positive SARS-CoV-2 RT-PCR or a positive COVID Rapid Diagnostic Test. Data were collected using a survey form, with a p-value less than 0.05 considered statistically significant for bivariate analysis. Results The study enrolled 702 patients, a hospital frequency of 23.95%. The average age was 65.14 ± 12.24 years with a sex ratio of 0.81. Comorbidities were predominantly diabetes (40.5%) and dyslipidemia (4.8%). Common symptoms included cough (65%), dyspnea (42.3%), fever (47.4%), and asthenia (35.9%). Blood pressure was normal in 15.2%, high-normal in 16.8% of patients. HT was Grade I in 12.1%, Grade II in 10%, and Grade III in 6.8% of the population, with blood pressure unmeasurable in 0.3% of known hypertensive patients. SARSCOV2 infection was mild in 34.2% and moderate in 42.8% of cases. CT scans showed extensive (31.8%), severe (25.9%), moderate (25.6%), critical (8.5%), and minimal (7.9%) lung damage. Treatment mainly consisted of ACE inhibitors (29%), ACE inhibitors in combination with another antihypertensive (8.4%), and ARBs in combination with an antihypertensive (). The average hospital stay was 12.85 days with a favorable outcome in 81% and a mortality rate of 15.5%. Factors associated with death included not being vaccinated against COVID-19 (HR: 11.70; 95% CI: 1.324-103.519), critical clinical form (HR: 11.70; 95% CI: 1.324-103.519), pulmonary consolidation (HR: 8.87; 95% CI: 7.539-24.207), high creatinine (HR: 4.69; 95% CI: 1.360-16.181), critical CT thoracic level (HR: 2.42; 95% CI: 1.020-5.745), and not taking ARBs (HR: 6.02; 95% CI: 2.812-12.889). Conclusion HT can be associated with COVID-19, impacting the disease's prognosis with significant mortality. Preventing its incidence and morbidity/mortality is crucial.

Insights into retroperitoneal hemorrhage management: result from a tertiary cardiovascular center prospective cohort

Abstract Background Although rare, retroperitoneal hemorrhage (RPH) during percutaneous cardiovascular interventions is still potentially fatal, poses a critical challenge, often necessitating swift and precise management strategies. Its management is still controversial, and available recommendations are mostly based on expert opinion, and not updated according to recent advancement in the field of interventional cardiology. Purpose To present the rate, clinical characteristics and modern management of patients complicating with RPH in a large tertiary cardiovascular center Method We collected prospectively all consecutive RPH events encountered in the catheterization laboratories of a large tertiary cardiovascular center during 2014-2022. Procedural data from all the diagnostic and therapeutic procedures performed in the same time period, were retrieved from electronic hospital records (EHR). Results Among 89,361 percutaneous cardiovascular diagnostic or therapeutic procedures performed on 69596 patients, 52 (0.058%) episodes (patients) of RPH, (mean age of 56.37±16.84 years with female sex predominance of 36 (69.23%)). Also 2 (3.8%) patients died due to RPH. Non-contrast abdominopelvic CT scan was the most common primary imaging modality for RPH diagnosis, followed by DSA angiography. Of note, 13 (25 %) of patients returned directly to catheterization laboratory for RPH evaluation. Thirty-one (59.6%) patients were ultimately treated conservatively and no patient treated surgically. Structural and peripheral procedures were more prone to RPH. Still a median time of 7.5 hours was needed for RPH diagnosis. Contralateral access was the dominant approach for treating RPH, and although balloon tamponade was used in 11 (52.4 %) patients, 17 (80.9 %) patients were treated ultimately with covered stents; deep femoral and internal iliac arteries were covered in 1 (5.9%) and 2 (11.8%) patients, respectively. Patients treated endovascularly for RPH had higher acute kidney injury and longer hospital stays. Further comprehensive analysis regarding the potential risk factors of RPH are pending. Conclusion Our preliminary analysis from a large tertiary cardiovascular center database, showed RPH is still rare, with acceptable mortality rate of 3.83%. Our data showed the necessity of more precise probability assessment tools to improve the diagnostic time.

Penumbra Indigo® system to safely remove intracardiac thrombus in a 7-month-old infant with severe immunodeficiency disorder.

We report on a 7-month-old boy (4.2 kg/60 cm) with severe immunodeficiency disorder and bacterial septicaemia who was referred for an infected atrial thrombus secondary to a jugular central line. The echocardiogram showed a teardrop-shaped thrombus with a wide base adherent to the interatrial wall and a flimsy tail moving freely in the right atrium. Chest CT scan showed multiple lesions in both lungs consistent with infected micro-thrombi. The thrombus increased in size despite 2 weeks of antibiotics and anticoagulation. We applied the Indigo® Lightning® 7 aspiration system from Penumbra® (Alameda, USA) and removed percutaneously the thrombus under transoesophageal ultrasound and biplane fluoroscopic guidance. At 6 weeks of follow-up, the patient is alive, under enoxaparin with no procedure-related complication.

Pericoronary adipose tissue computed tomography attenuation (PCAT) as a marker of premature CVD in asymptomatic people living with HIV (PLWH) without traditional risk factors: H-ART to heart study

Abstract Background Controversy exists regarding the contribution of HIV, ART or traditional risk factors to CVD risk in PLWH. The H-ART to Heart study investigates the prevalence of subclinical CVD in asymptomatic PLWH without cardiovascular risk factors compared to negative controls(-). Vascular inflammation inhibits local adipogenesis in pericoronary adipose tissue (PCAT) and thus can be detected on coronary computed tomography angiography (CTCA) as an increase in CT attenuation of PCAT surrounding the proximal right coronary artery (RCA). Methods This cross-sectional study compared PLWH aged 35-55yrs (diagnosed >10 yrs, on ART) to matched controls. Included were Caucasian men who have sex with men(MSM) and Black African/Caribbean women (BW) with traditional risk factors excluded (hypertension, hyperlipidaemia, diabetes, kidney disease, smoking, depression, inflammatory conditions, etc.). Detailed vitals, 10 year CVD risk calculation (Q-RISK 3) were recorded. CTCA were performed with novel analysis using PCAT to assess for coronary inflammation (Figure 1.) Results 98 participants were recruited (49M; 51 PLWH). Mean Q Risk 3 (10yr CVD risk - %) was low across the groups (HIV+MSM 4.65±2.1, HIV-MSM 3.88±2.7;p=0.29; HIV+BW 2.03±1.3, HIV-BW 1.38±0.98 p=0.66). 79 participants (42 PLWH; 37 controls) completed a CTCA with only 2 PLWH having clinically significant disease (CAD-RAD 3+ ie. >50% luminal stenosis) and none in the control group. (p=0.49) The CT scans of 69 patients were assessed for peri-coronary adipose tissue (PCAT) density, 2 were ruled out due to a small non-dominant RCA. The PCAT density of PLWH was higher than that of the controls (-71.2±27.6 vs -75.5±30.3 P=<0.05). Multivariate linear regression demonstrated that HIV status was an independent predictor of coronary inflammation (p=0.037) after adjusting for age, gender and BMI. Conclusion PWLH without traditional CV risk factors did not have significant evidence of more clinically relevant stenosis than controls on CTCA. However PCAT demonstrated a higher signal of coronary inflammation, despite stable disease, compliance with ART and low CVD risk scores. PLWH remain at risk of CV disease, this study supports the rationale for early preventative strategies for CVD prevention in PLWH.PCAT showing HIV inflammation Vs Control

Prediction of the burden and characteristics of coronary plaques by cardiorespiratory fitness

Abstract Background Cardiorespiratory fitness (CRF) and coronary plaque burden are both important predictors of mortality. Although mortality of coronary heart disease (CHD) is reduced, prevalence remains high and there is a need to improve early detection and preventive measures. How CRF relates to coronary plaque burden and composition in the general population is largely unknown. Purpose The aim was to study the relationship between CRF and the total coronary plaque burden, including subgroups of coronary plaques, in subjects without known CHD. Methods A random sample of participants from a large population-based echocardiographic reference range study aged 55-70 at baseline was included. Coronary plaque burden was assessed, on average, 4.0 years after the baseline evaluation using coronary computed tomography angiography (CCTA). The burden and characteristics of the coronary plaques were evaluated using a validated, commercially available, semi-automatic software that assessed all coronary territories including the left main, left anterior descending, circumflex, and right arteries. Coronary plaques were classified as dense calcified plaques, plaques with necrotic core, fibrous, and fibrous-fatty plaques. Baseline measures included cardiovascular risk factor assessment and measurement of peak oxygen consumption (VO2peak) assessed by treadmill cardiopulmonary exercise testing. Linear regression models were used to assess the impact of VO2peak on coronary plaque burden. In Model 1, we adjusted for sex and age, while Model 2 also included adjustments for non-HDL cholesterol, HbA1c, systolic blood pressure, smoking status, and body mass index. Results Of 845 invited to undergo CCTA, 707 (51% females) underwent CT scanning. Of these, 699 scans had acceptable quality for further analyses. Table 1 shows baseline characteristics and Table 2 shows the associations of VO2peak with coronary plaque burden. In the fully adjusted Model 2, there was a significant negative association of VO2peak with total plaque burden (β -0.18, R2 15%, p<0.001), while the association was not significant in Model 1 (p=0.54). Similarly, higher VO2peak significantly predicted a lower burden of dense calcified plaques, plaques with necrotic core, and fibrofatty plaques in both models (R2 3-17%, p≤0.01). The results were consistent whether the coronary plaques were evaluated across the entire coronary arteries (down to a diameter of 1.5 mm) or solely in the proximal segments. However, the predictive power of the models was relatively low with R2 of maximum 17%. Conclusion In a population without known CHD, CRF explained a modest part of the variation in coronary plaque burden. Considering CRF in risk prediction may enhance coronary artery disease prevention beyond traditional risk factors.