Cardiac Computed Tomography Research Articles

Impact of preoperative clinical and imaging factors on post-pericardiectomy outcomes in chronic constrictive pericarditis patients

The present study was designed to identify the preoperative clinical and imaging findings influencing adverse clinical outcomes in patients with chronic constrictive pericarditis after pericardiectomy. Patients with constrictive pericarditis who underwent pericardiectomy between January 2009 and September 2023 were retrospectively analyzed. Preoperative evaluations included assessments of clinical symptoms, comorbidities, laboratory tests, cardiac computed tomography (CT), and transthoracic echocardiography. The volume of pericardial calcifications was quantified on calcium scoring CT. Adverse clinical events were defined as cardiovascular death or hospitalization due to cardiac causes, and all-cause mortality was assessed. Univariable and multivariable Cox proportional hazard model analysis were performed to find factors associated with adverse clinical events. Among the 91 patients with available preoperative CT scans, 26 (28.6%) experienced adverse clinical events after pericardiectomy, with 19 (20.9%) experiencing cardiovascular deaths. On multivariable Cox analysis, larger pericardial calcium volume hazard ratio [HR], 1.004 (95% confidence interval [CI], 1.001–1.006) per 1cm3 increase; p = 0.005), higher E/E’ ratio (HR, 1.059, 95% CI, 1.015–1.105, p = 0.008), and lower albumin level (HR, 0.476, 95% CI, 0.229–0.986, p = 0.046) were significant factors associated with the adverse clinical events after pericardiectomy. The amount of pericardial calcification could be associated with the efficacy of pericardiectomy and potentially have implications for postoperative outcomes. Additionally, a high E/E ratio on echocardiography is indicative of unfavorable postoperative prognosis.

Abstract 4119146: Pulmonary Artery Enlargement Predicts Mortality in Patients with Severe Aortic Stenosis after Transcatheter Aortic Valve Replacement.

Background: Pulmonary hypertension is associated with extensive remodeling of the pulmonary tree, with key finding the enlargement of the pulmonary artery (PA). Although the independent predictive value of the pulmonary hypertension in patients undergoing transcatheter aortic valve replacement for severe aortic stenosis has been clearly demonstrated, data about the potential predictive value of the pre-interventional PA enlargement on mortality are scarce. Research questions: The aim of the present study was to assess the prognostic significance of the pre-interventional PA enlargement, assessed by cardiac CT scan, in patients undergoing transcatheter aortic valve replacement for severe aortic stenosis. Methods: We conducted a retrospective study and recruited 337 patients with aortic stenosis, who underwent a right heart catheterization and a cardiac CT scan before the transcatheter aortic valve replacement. The cohort was divided in two groups according to the presence of an enlarged PA (PA e ), (main PA axial diameter ≥ 29 mm for males and ≥ 27 mm for females, n=192, mean age 83±6 years, 41% males) or not (PA n ), ( n=145, mean age 84±6 years, 46% males). The primary endpoint was all-cause mortality at 1 year. Results: Globally, a strong correlation between invasive mean PA pressure and main PA axial diameter was noted (Pearson r=0.393, p<0 .001). Compared to the PA n group, patients with enlarged PA exhibited higher 1 year mortality rates (hazard ratio 2.51, 95% CI: 1.1-6.04, p=0.027). The prognostic significance was even stronger after indexing the PA to the ascending aorta diameter (hazard ratio 3.82, 95% CI: 1.86-7.87, p<0.001, figure 1). Conclusions: Pre interventional PA enlargement, is strongly associated with 1-year all-cause mortality in patients undergoing transcatheter aortic valve. This may pave the way for a more precise non-invasive risk stratification in patients with severe aortic stenosis.

Plaque characterization and individualized risk assessment

Risk assessment and accurate plaque characterization are key to individual prognosis in coronary artery disease (CAD). The standard of care is cardiac computed tomography (CT), including calcium scoring and coronary CT angiography (CCTA). Diagnosis is based on the CAD-RADS (Coronary Artery Disease-Reporting and Data System) classification. New developments include CT-based fractional flow reserve (CT-FFR) and plaque quantification ("virtual histology"). Acalcium score of0 indicates an event risk of less than 1% over 10years [7, 17]. CAD-RADS classes1 to5 allow risk assessment compared to patients without coronary plaques [2]. CT-FFR has high accuracy (area under the curve [AUC] 0.90; 95% confidence interval 0.87-0.94) in assessing the hemodynamic significance of stenoses compared with invasive coronary angiography [25]. Plaque quantification has shown that anecrotic core greater than 4% is associated with an almost fivefold increase in 5‑year event risk [29]. The presence of obstructive CAD (stenosis > 50%) is astrong prognostic factor. The evaluation of the hemodynamic relevance of 40-90% stenoses by CT-FFR or other functional tests is already guideline-compliant in the USA, but not yet in Germany. Quantitative approaches to measure plaque volume and composition are gaining importance in research and are expected to become relevant in clinical practice. The CAD-RADS 2.0 classification, which also provides therapy recommendations, should be used to assess the extent of CAD.

Abstract 4136274: A Case of Myocardial Infarction with Non-obstructive Coronary Arteries (MINOCA) Complicated by a Ventricular Septal Defect (VSD)

Case: A 69-year-old woman with a history of hypertension and tobacco use disorder presented with acute chest pain. The patient was found to have classic anterior ST elevation myocardial infarction (STEMI) pattern on electrocardiogram (ECG) with high-sensitivity troponin of 12,772 ng/L and was taken emergently to the catheterization laboratory. Coronary angiography showed tortuous coronary vessels though without evidence of obstructive coronary artery disease, plaque rupture, ulceration, dissection, or vasospasm. Transthoracic echocardiogram showed an apical ventricular septal defect (VSD) with normal left ventricular systolic function of 60%. Cardiac computed tomography (CT), confirmed a discrete apical VSD that was 7.93 mm in diameter and multiple small VSDs distally in the septum. Right heart catheterization revealed severe left-to-right shunting with a ratio of pulmonary blood flow to systemic blood flow (Qp:Qs) of 2.8. Early surgical repair of the apical VSD was pursued despite known high operative risk given the hemodynamic significance of the shunt. The patient developed ongoing hemodynamic instability from cardiogenic shock with inability to ween from intra-aortic balloon pump (IABP). Unfortunately, because of the location of the residual VSDs and elevated panel-reactive antibody testing of 98%, the patient was deemed to not be a candidate for percutaneous closure or heart transplantation, respectively. Discussion: An acquired ventricular septal defect (VSD) is a rare and catastrophic complication of myocardial infarction, typically with a culprit obstructive coronary artery lesion identified on coronary angiography. Acquired VSDs in myocardial infarction with nonobstructive coronary arteries (MINOCA) is an even more rare phenomenon. Possible causes include low flow, inflammation, intimal disruption, or vasospasm of coronary arteries. Our case highlights that MINOCA can present with life-threatening complications similar to obstructive STEMI. The timing of intervention and treatment approach of acquired VSDs remains an area of debate. The life-threatening effects of VSDs make it critical to manage in a multidisciplinary manner involving advanced imagers, interventional cardiologists, cardiothoracic surgeons, and heart failure specialists. This case emphasizes the importance of maintaining a high index of suspicion for abnormal coronary anatomy, even in patients with MINOCA, and prompt interdisciplinary decision making to reduce mortality.

Abstract 4122350: Most Diabetes Mellitus Patients Had Right Lower Pulmonary Vein Thrombi; Additionally, Many Patients Had Extended Large Rod-Like Thrombi in the Left Atrium

Background: Retrieved thrombus studies have shown that retrieved thrombi have calcifications, indicating that the thrombi are old. Left atrium diverticula (LADs) are common; however, the mechanisms of LAD formation are poorly understood. Pulmonary vein thrombi (PVTs) are common and are underestimated. In 2022, we reported that 98.6% of senior patients with age-related diseases such as hypertension, dyslipidemia and atrial fibrillation had PVTs, as estimated by cardiac computed tomography (CT) and transesophageal echocardiography (TEE). Additionally, we reported a case in which a malignant lymphoma patient had ATs in the right lower pulmonary vein, in which extended large rod-like thrombi in the left atrium (LA) were found, as determined by TEE. Patients with type 2 diabetes mellitus (T2DM) must have PVTs. The characteristics of extended LA thrombi in patients with T2DM are unclear. Methods: Thirty-one patients with T2DM (73.5 +/- 8.9 y.o., from 50 y.o. to 88 y.o.; male, 24) were examined for PVTs, as estimated via TEE and cardiac CT. Results: Thirty (97%) patients with T2DM had PVTs in the right lower pulmonary vein (RLPV) and connected LA thrombi, as estimated using TEE. Among them, 27 (87%) patients had large white rod-like LA thrombi extending from RLPV thrombi, and the diameter of the thin part of the rod-like LA thrombi was approximately 5 mm. The end of the LA thrombi was mainly attached to the left side of the anterior wall or the posterior side of left side wall of the LA. Additionally, there were left atrium diverticula (LADs) around the attachment regions. Three patients had RLPV thrombi and connected shorter LA thrombi. A 79-year-old male patient did not have detectable PVTs. The patient had taken apixaban (2.5 mg, twice daily) for six years due to atrial fibrillation and stroke. Conclusions: Most (97%) elderly T2DM patients had RLPV thrombi. Additionally, many (87%) patients had extended large rod-like thrombi in the LA. The diameter of the thin part of the large rod-like LA thrombi was approximately 5 mm. There were LADs around the attachment regions where the ends of the LA thrombi from the RLPV thrombi were attached.

Abstract 4136289: Aortic Valve Calcium as a Predictor of Chronic Kidney Disease in a Multi-Ethnic Cohort: The MESA Study

Background: Aortic valve calcium (AVC) is associated with an increased risk of cardiovascular disease, non-cardiovascular disease such as dementia, and all-cause mortality. Traditional atherosclerotic cardiovascular disease risk factors are associated with both AVC and chronic kidney disease (CKD), but whether there is an association between AVC and CKD is unknown. Objectives: To ascertain whether AVC quantified by cardiac CT scanning is independently associated with the long-term risk of incident CKD among individuals without a previous history of cardiovascular disease. Methods: We examined 6,346 Multi-Ethnic Study of Atherosclerosis (MESA) participants who underwent cardiac CT scanning at Visit 1 (2000-02) and had an eGFR of ≥ 60 mL/min/1.73 m 2 . AVC was quantified using the Agatston method and categorized as 0, 1-99, and ≥100. Incident CKD was defined as an eGFR < 60 mL/min/1.73 m 2 accompanied with an at least 40% decline in eGFR from baseline, and/or a diagnosis of CKD and indicators of end stage renal disease extracted from hospital records using the International Classification of Disease (ICD) codes. We performed Kaplan-Meier survival curve analyses along with multivariable Cox proportional hazard regression models, adjusted for age, gender, race/ethnicity, highest level of education and traditional cardiovascular risk factors along with coronary artery calcium (CAC), lipoprotein (a) (Lp[a]), and the APOE-ε4 genotype to examine the association between AVC (categorical and log-transformed) and incident CKD. Results: Participants had a mean age 62.2±10.1 years, 53% were women, and AVC >0 was present in 795 (12%) participants. During a median follow-up time of 16.9 years, 982 (15%) participants developed incident CKD. AVC examined as a continuous variable was associated with a significantly increased risk of developing CKD (per log-unit [AVC+1] HR 1.06 [95% CI: 1.02-1.10]; p = 0.005). There was a stepwise increased risk for CKD with higher AVC levels ( Figure ). Similarly, in the multivariable adjusted Cox models, participants with AVC ≥100 had a higher risk of incident CKD, compared with the AVC=0 group (HR 1.48 [95% CI: 1.15-1.89]; p = 0.002). The observed associations remained after further adjusting for CAC score ( p = 0.024), Lp (a) ( p = 0.004), and the APOE-ε4 genotype ( p = 0.004). Conclusions: In a multi-ethnic cohort of participants free of CKD at baseline, AVC was independently associated with a higher risk of incident CKD.

Pseudo hepatic vein thrombosis in a newborn with infracardiac total anomalous pulmonary venous connection.

We report an interesting incidental liver finding during ECG-gated cardiac computed tomography (CT) in a newborn with infracardiac total anomalous pulmonary venous connection to the portal vein. This case shows a unique abnormality in hepatic perfusion that was initially mistaken for hepatic vein thrombosis. We review the altered hepatic blood flow distribution in this pathologic anatomy to help explain the observed hepatic perfusion abnormality on CT. This understanding will enable an imager to anticipate hepatic perfusion patterns in similar patients, potentially avoiding misdiagnosis and unnecessary further testing.

Computed Tomography Confirms Increased Left Atrial Volume in Patients with Bayés Syndrome Referred for Catheter Ablation of Atrial Fibrillation.

Background: Bayés syndrome is a recently identified condition that is defined by the presence of an interatrial block on a surface electrocardiogram, in addition to atrial arrhythmias such as atrial fibrillation, tachycardia, or left atrial flutter. This syndrome is linked to an increased risk of stroke, morbidity, and mortality. An interatrial block is a conduction delay between the right atrium and left atrium and can be recognized by a P wave duration >120 ms. It is known that P wave duration can estimate the size of the left atrium measured via echocardiography, which is a marker for stratifying cardiovascular risk. Our study aims to verify whether the duration of the P wave can estimate the volume of the left atrium measured by computed tomography in patients with an interatrial block. Methods: We included 105 patients with a sinus rhythm and a partial or advanced interatrial block (IAB) who underwent contrast-enhanced cardiac computed tomography (CT). The mean age was 62.2 ± 10.1 years, and 38% of the patients were women. Results: The mean P wave duration was 122.6 ± 11.4 ms in the partial IAB group and 150 ± 8.4 ms in the advanced IAB group (p < 0.01). The mean left atrial volume was 115 ± 39 mL in the partial IAB group and 142 ± 34 mL in the advanced IAB group (p = 0.001). P wave duration was longer in patients with an advanced as opposed to partial interatrial block. Left atrial volume and LAVI were higher in patients with an advanced as opposed to partial interatrial block. Conclusions: All the patients (100%) with an advanced IAB had a dilated left atrium. P wave duration can accurately estimate LA volume in patients with an IAB using the formula: LA volume = 0.6 × P wave + 46 mL.

Extra-cellular volume fraction analysis on cardiac CT is useful for predicting the prognosis of hypertrophic cardiomyopathy

Abstract Introduction Extra-cellular volume (ECV) fraction on magnetic resonance imaging (MRI) can evaluate the degree of myocardial fibrosis and has been reported to help diagnose and evaluate the prognosis of cardiomyopathy. In hypertrophic cardiomyopathy (HCM), ECV analysis on MRI is reported to help predict ventricular arrhythmias. However, the performance of cardiac MRI takes time, and there are also several contraindications. Cardiac computed tomography (CT) is more versatile than cardiac MRI and is also useful in screening coronary artery disease. ECV analysis on CT is now available, and a good correlation with ECV on MRI has been reported. We hypothesized that ECV on CT, a new fibrosis indicator, would be useful in predicting prognosis in HCM patients. Purpose To determine the utility of ECV analysis on CT to predict the prognosis in patients with HCM. Methods One hundred and three HCM patients (68 males, 66 ± 11 years old) who underwent cardiac CT using 320-row detector CT or 256-row detector CT, from 2008 to 2021 at our two hospitals were analyzed. We measured left ventricular (LV) ECV (LV-ECV) on CT and collected patient characteristics, transthoracic echocardiographic, and other CT findings. We investigated the relationship between these findings and the major adverse cardiac events (MACEs) (cardiac death, fatal arrhythmia, and heart failure hospitalization) after CT. Results All patients were followed for 64 ± 54 months after cardiac CT, and 15 patients (14.6%) had MACEs (ten heart failure hospitalization cases, two ventricular fibrillation cases, two sustained ventricular tachycardia cases, and one sudden cardiac death case). The patients with MACEs had a significantly higher LV-ECV, sudden cardiac death (SCD) risk score and lower LV ejection fraction (LVEF) than those without MACEs（42.0 ± 8.3% vs. 33.7 ± 6.1%, P &amp;lt; 0.001, 2.4 ± 0.39 vs 1.95 ± 0.16, P= 0.047, and 57.7 ± 11.9% vs. 66.7 ± 6.9%, P = 0.004). The percentage of dilated phase HCM was significantly higher in the patients with MACEs than those without MACEs (21% vs 0%, p=0.002). LV-ECV was the only significant predictor of MACEs based on the multivariate analysis by Cox proportional hazard model (hazard ratio 1.23, 95% confidence interval 1.09-1.41, P&amp;lt;0.001). The optimal threshold of LV-ECV to predict MACEs was 37.6% based on the receiver operating characteristic analysis. The sensitivity and specificity of LV-ECV to predict MACEs were 73% and 78% at the best cut-off, and the area under the curve was 0.79 (Figure A). The patients with LV-ECV ≥ 37.6% (30 patients) had significantly higher MACEs than those with LV-ECV &amp;lt; 37.6% during the follow-up periods (P &amp;lt; 0.001) (Figure B). Conclusion LV-ECV on CT of 37.6% is a good prognostic indicator in HCM cases. ECV analysis on CT helped predict MACEs in HCM cases.

Predictors of debulking devices use by coronary artery calcification classification using cardiac CT

Abstract Background Multi-slice computed tomography (CT) is useful for the non-invasive detection and quantification of coronary calcium burden. However, a definitive parameter based on CT imaging for predicting the need for debulking devices, such as rotational atherectomy (RA) and orbital atherectomy (OAS), has yet to be established. Purpose We aimed to develop a calcification risk score using cardiac CT to predict the use of debulking devices during coronary intervention. Methods In this retrospective, multi-center, observational study in Japan, patients who underwent percutaneous coronary intervention (PCI) were screened. Inclusion criteria were (1) cardiac CT within 6 months prior to PCI, (2) moderate or severe coronary calcification detected on CT, and (3) de novo lesions in a native coronary artery. A total of 349 lesions in 343 patients from 13 hospitals, there were 124 lesions that were treated with debulking devices and 225 lesions without debulking devices. Cardiac CT images were analyzed for circumferential degree, longitudinal length, intracoronary distribution of calcification, peak density, mean density, vessel bend and presence of bifurcation lesions. Data from a random two-thirds (the derivation cohort, n=247) were used to develop a new risk prediction model, which was then tested in the remaining one-third (the validation cohort, n=102). Odds ratios and the risk prediction model were developed using a logistic regression model. The predicted risk was translated into a simplified scoring system (Figure 1A). Results RA was used in 111 lesions and OAS in 23 lesions. Factors selected in the model included circumferential degree (≥270°: 3 points), bifurcation (2 points), longitudinal length (≥8mm: 1 point), and mean density (≥600 HU: 1 point) (Figure 1B). This model demonstrated good discrimination (c-statistic=0.772) and calibration (Hosmer–Lemeshow χ²-statistic=0.885; P=0.64) in the validation cohort (Figure 2). Conclusions The new prediction model based on cardiac CT performed well in predicting the need for debulking devices. This could serve as an objective tool to support a clinical decision to use debulking devices even in cases where intravascular imaging is not applicable.Study flow and Cardiac CT calcium scoreDiscrimination and Calibration

Late iodine enhancement quantification by computed tomography: a comparison study against cardiac magnetic resonance imaging

Abstract Introduction Cardiac computed tomography (CT) has emerged as a promising alternative to cardiac magnetic resonance (CMR) for myocardial characterization. However, the quantification of late iodine enhancement (LIE) and its threshold values have not been previously reported. The Full Width Half Maximum (FWHM) technique established a cut-off value of 50% of the maximum intensity signal to quantify late gadolinium enhancement (LGE) in CMR. Nevertheless, the distinction between healthy and fibrotic myocardium in CT is less pronounced, prompting the need for specific threshold values for accurate quantification of LIE with this technique. Purpose Our primary aim was to validate and determine the optimal cut-off values for quantifying LIE using cardiac CT. Methods We included consecutive patients who underwent both LIE and LGE within a period of less than 2 months. Late enhancement quantification was performed using a commercially available software (figure 1). The FWHM technique was applied for LGE quantification. Various signal density cut-off values (70%, 75%, 80%, 85%, and 90%) were explored for LIE quantification. The total myocardial mass, total scar mass and scar proportion were calculated. The Intraclass Correlation Coefficient (ICC) was computed for each of the specified cut-off values. Results From November 2022 to February 2024, 58 patients underwent cardiac CT with LIE. Among them, 17 patients (48 (33;59) years; 13 (68,4%) male) had concomitant LGE and were included in the final analysis. The most common indication for CT was myocardial infarction with non-obstructive coronary arteries (52,9%). The total myocardial mass by CT was 108.83 ± 21.69 g, while the total myocardial mass by CMR was 100.33 ± 25.19 g. The ICC between both techniques was good (0.78, p=0.001). A cut-off value of 75% for the CT showed the strongest correlation with the CMR, both for total scar mass and scar proportion. Total scar mass was 9.43 ± 8.29 g for CT and 10.7 ± 8.46 g for CMR, with an ICC of 0.68 (p=0.01). Scar proportion was 9.97 ± 8.26% for CT and 11.09 ± 9% for CMR, showing a good correlation (ICC 0.73, p=0.006). Conclusion Late iodine enhancement quantification by cardiac computed tomography is feasible. A signal density threshold of 75% showed the strongest correlation with the cardiac magnetic resonance.Example of late iodine enhancement

Extracellular volume analysis on cardiac computed tomography is useful to predict prognosis after cardiac resynchronization therapy

Abstract Background Left-ventricular (LV) extracellular volume (ECV) (LVECV) is often evaluated on magnetic resonance imaging (MRI), and the value is well correlated with biopsy-identified myocardial fibrosis. Recently, mechanical development has been achieved, and ECV analysis on cardiac computed tomography (CCT) has been eligible using the latest software, and the ECV on CCT is well correlated with the ECV on MRI. Cardiac resynchronization therapy (CRT) has been usually performed in cases with severe heart failure, but almost 30 percent of them are non-responders. Therefore, the indicators to predict non-responders to cardiac resynchronization therapy (CRT) have been sought in advance. Purpose The purpose of this study is to reveal the utility of LVECV on CCT for the prediction of patient prognosis in the candidates of cardiac resynchronization therapy (CRT) who have low LV function. Methods We analyzed 53 patients (30 males, 65 ± 14 years old) with heart failure who underwent CCT, including late phase scan, using 320-row detector CT (Aquilion One or Aquilion One ViSion Edition, Cannon Medical Systems) or 256-row detector CT (Revolution CT Apex, GE Healthcare), before the implantation of a CRT device from December 2008 to January 2024. The primary outcomes were defined as cardiac death, hospitalization due to HF, and fatal arrhythmia after CRT implantation. CRT responders were defined as the patients whose LV endo-systolic volume was decreased by 15% or more on transthoracic echocardiography. Results Twenty-two patients (42%) had primary outcomes (10 cardiac death, 7 fatal arrhythmia, 5 hospitalization due to HF). LVECV was lower in CRT responder (n = 23) than the others (n = 25) (35 ± 6.3% vs 41 ± 6.8%, P = 0.006). LVECV was higher in the patients with primary outcomes (n = 22) than the others (n = 31) (35 ± 5.0% vs 41 ± 7.8%, P = 0.019). Based on the receiver-operating characteristics curve analysis, the best cut-off of LVECV for predicting primary outcomes was 44.03% (B). In the survival analysis using the Cox proportional hazard model, LVECV on CCT was a significant predictor of primary outcomes (HR, 1.07; 95% CI, 1.13-1.01; P = 0.012). On Kaplan-Meier analysis, the higher LVECV group (≥ 44.03%) had a significantly greater number of primary outcomes than the others (P = 0.010) (C). Conclusion LVECV on CCT may be useful for predicting responders of CRT and prognosis after CRT implantation.ROC curve and Kaplan-Meier analysis

Significant impact of a novel whole heart motion correction algorithm on cardiac computed tomography and aortic valve calcium scores

Abstract Introduction A new whole-heart motion-correction algorithm has been available in cardiac computed tomography (CT), and it has already revealed the higher diagnostic accuracy of significant coronary artery stenosis in cases with higher heart rate at the CT scan. Recently, aortic valve calcium scores (AVCS) are often measured for the decision-making of surgical treatment of aortic valve stenosis. However, the measurement of AVCS of the aortic valve has potential risks of motion artifact of the aortic valve. Therefore, we would like to know the clinical impact of a new whole-heart motion correction algorithm for accurately measuring aortic valve AVCS without motion artifacts. Purpose The purpose of this study is to evaluate the impact of a new whole-heart motion-correction algorithm on non-contrast cardiac CT images and the AVCS in trans-catheter aortic valve regurgitation (TAVR) candidates with severe aortic valve stenosis. Materials and methods Forty-two consecutive TAVR candidates (83 ± 7 years old, 21 males) who underwent ECG-gated CT using 256-row detector CT from November 2023 to February 2024 at our hospital were analyzed. The best phase non-contrast cardiac images were automatically selected, and they were reconstructed with both the standard (STD) algorithm and the new whole-heart motion-correction algorithm. AVCS was calculated using semi-automatic commercially available software. The aortic valve's image noise was also measured. Results Non-contrast best cardiac phase images were successfully reconstructed using the new motion correction algorithm in 36 patients (86%). The best cardiac phase was mainly the diastolic phase in 29 patients (81%). The overall Agatston score and calcified volume of the aortic valve in SSF2 were 1779 ± 896, and 1403 ± 689, respectively, and they were lower than 2195 ± 1132 and 1656 ± 851 of STD (all P &amp;lt; 0.01). Conclusion The new whole-heart motion-correction algorithm worked in almost all TAVR candidates, and revealed lower AVCS and shows a potential for increasing AVCS accuracy.

Relationship between epicardial adipose tissue and ventricular fibrillation in Brugada syndrome by cardiac computed tomography analysis

Abstract Background Fibrofatty changes in the myocardium of the right ventricular (RV) to right ventricular outflow tract (RVOT) in patients with Brugada syndrome (BrS) may contribute to ventricular conduction delay and ultimately in the development of ventricular fibrillation (VF). In patients with atrial fibrillation (AF), inflammatory infiltration of epicardial adipose tissue (EAT) into the atrial muscle, along with reduced quantity and quality of EAT, has been demonstrated to be associated with the development of AF. We hypothesized that EAT in the RVOT from the RV in patients with BrS may lead to organic abnormalities in the ventricular muscle, resulting in VF. Purpose The purpose of this study was to evaluate the quantity and quality of EAT in patients with BrS using cardiac computed tomography (CT) and to determine the relationship with the occurrence of VF. Methods We retrospectively evaluated 61 of 82 patients with BrS regularly followed in our outpatient clinic from January 2000 to December 2023, who underwent cardiac CT scans. Patients were divided into two groups: those with VF events during follow-up (VF event group) and those without events (VF non-event group). Patient background, various parameters, volume of epicardial adipose tissue (EAT), and CT values from cardiac CT scans were compared between the two groups. EAT volume and CT values were measured for the entire heart and four specific regions: right ventricle (RV-EAT), right ventricular outflow tract (RVOT) to pulmonary artery bifurcation (RVOT-EAT), left ventricle (LV-EAT), and the left coronary artery main trunk circumference (LV summit-EAT) were measured for four specific sites. Results Median age at first diagnosis of BrS was 43 years, 98% were male patients, 41 patients (71%) had symptomatic BrS, and 18 patients (31%) had a family history. During a median follow-up of 72 months (30-136 months), 22 patients (38%) had VF events, including 2 arrhythmic sudden deaths. The median time from diagnosis to the first VF event was 14.3 months (4.3-24.5 months). The VF event group had more overall EAT volume (98.3 cm3 [range: 77.4 to 120.3 cm3] vs. 70.1 cm3 [range: 53.8 to 98.0 cm3], P=0.02) and significantly more RV-EAT volume (18.4 cm3 [range: 11.5 to 28.0 cm3] vs. 11.0 cm3 [range: 7.9 to 18.3 cm3], P=0.008). The CT value of RV-EAT was significantly lower in the VF event group (-83.1±6.1 vs -78.0±6.2, P=0.003), although the RV-EAT/LV-EAT density ratio was not different between the two groups (1.01±0.05 vs 0.99±0.07, P=0.14). On the other hand, the density ratio of RVOT-EAT/LV-EAT was significantly lower in the VF event group (0.95±0.08 vs. 1.00±0.08, P=0.03). Conclusions EAT analysis via CT in patients with BrS revealed that those experiencing VF events during follow-up tended to exhibit greater RV-EAT volume, lower CT values of RV-EAT, and higher CT values of RVOT-EAT density. These findings suggest EAT involvement in VF occurrence in patients with BrS.

Left ventricular longitudinal strain analysis using cardiac computed tomography for the diagnosis of cardiac amyloidosis

Abstract Introduction Cardiac amyloidosis (CA) results in a restrictive cardiomyopathy caused by extracellular deposition of proteins in the myocardium, demanding early identification for effective management. Left ventricular (LV) strain, mainly evaluated by echocardiography or cardiac magnetic resonance, provides sensitive and specific indicators for detecting CA, particularly apical sparing. It represents a pattern where the longitudinal strain (LS) in the basal and middle segments of LV is more impaired compared to the apical segments.¹ Cardiac computed tomography (CT) is useful not only for coronary artery evaluation but also for myocardial assessment, including LV ejection fraction (LVEF). Advanced software made it possible to analyse LS on cardiac CT (Figures A,B). Hypothesis: LS analysis using four-dimensional cardiac CT is helpful for the differential diagnosis of LV hypertrophied myocardial diseases and for detecting CA. Methods We analyzed 60 patients with LV hypertrophied myocardial diseases who underwent cardiac CT using 256-detector row or 320-detector row CT since 2009. Twenty patients of them were diagnosed with CA ( 70 ± 10 years, 14 males), the other 20 patients were diagnosed with hypertrophic cardiomyopathy (HCM) ( 60 ± 14 years, 12 males), and the rest of the 20 patients were diagnosed with severe aortic valve stenosis (AS) ( 86 ± 6 years, nine males). We analyzed LV global LS (GLS) and segmental LS using specific software and four-dimensional CT data. We evaluated relative apical LS as the value dividing the average LS of apical segments by the sum of the average LS of basal segments and mid-ventricular segments (Figure C). If the value was ≥ 1, apical sparing was defined as present. We compared the LS data and the percentage of apical sparing among those three myocardial diseases. Results There was no significant difference in LVEF among the three groups (52 ± 14%, 55 ± 27%, and 50 ± 18%, respectively; P = 0.15). There was no significant difference in GLS among the three groups (-10.6 ± 3.6%, -10.2 ± 5.2%, and -11.6 ± 3.8%, respectively; P = 0.87). Apical sparing was observed in 13 cases (65%) of CA, which was significantly higher than 3 cases (15%) of HCM or 4 cases(20%) of AS (P = 0.0002). Conclusions LV strain analysis using cardiac CT is helpful for detecting apical sparing. Advanced image analysis software has enabled LV strain analysis by cardiac CT, which is useful for the differential diagnosis of CA among LV hypertrophied diseases.Figure A,B,C

AI-based algorithm for assessing coronary artery calcium score on contrast-enhanced cardiac computed tomography scans

Abstract Introduction In cardiac computed tomography (CT) examinations, non-contrast scans are often performed in addition to contrast-enhanced scans to quantify the coronary artery calcification (CAC) score. These calcium score scans are associated with additional exposure to ionizing radiation. Purpose We sought to develop a fully automated artificial intelligence (AI)-based algorithm capable of determining CAC score based solely on contrast-enhanced CT scans, eliminating the need for additional non-contrast scans. Methods An automated CAC scoring algorithm on contrast-enhanced CT scans was developed and trained using a dataset of 297 cardiac CT studies. Coronary artery calcifications were manually segmented in contrast-enhanced scans using a threshold of 2 standard deviations above the mean attenuation value of the ascending aorta. On non-contrast scans, CAC was manually assessed using a standard threshold of ≥130 Hounsfield Units. A correction factor for calcium score results assessed on contrast-enhanced scans was determined using linear regression. The algorithm was tested on an independent set of 90 contrast-enhanced CT scans (four manufacturers, eight scanner models). We compared automated CAC scores to manual expert reader reference assessments on non-contrast CT scans. CAC scores were categorized into four risk categories following the Society of Cardiovascular Computed Tomography recommendations: 0, 1-100, 101-300, and &amp;gt;300 Agatston Units. Results In the assessment of 90 CT studies (mean age 61.0±11.4 years, 46.7% males), the AI-model detected CAC in 69 contrast-enhanced scans (76.7%), comparable to the human reader's detection rate of CAC in 71 non-contrast scans (78.9%) (p = 0.63). The CAC score was initially calculated using AI-based segmentation of coronary calcification on contrast-enhanced scans and then the result was multiplied by established linear correction factor of 1.97. There was an excellent correlation between AI-model and manual reference total CAC scores (Pearson’s r = 0.96, 95% CI 0.94–0.97, p &amp;lt; 0.001). The model correctly classified 77 patients (85.6%) into the same CAC risk category as the human reader (Figure 1). Among 19 patients (21.1%) with a CAC score of zero, only 1 patient (5.3%) was reclassified with a non-zero CAC score by the AI-model. Cohen’s kappa value for CAC score risk categorization was 0.80 (p &amp;lt; 0.001), indicating very good agreement (Figure 2). Bland–Altman analysis revealed minimal bias of -9.7 Agatston Unit with 95% limits of agreement ranging from -184.8 to 165.5 Agatston Unit. Conclusions CAC score can be accurately quantified on contrast-enhanced cardiac CT scans using an automated AI-based algorithm. This approach has the potential to eliminate the necessity for an additional non-contrast CT scan, thereby reducing the patient's exposure to ionizing radiation.

Redefining cardiovascular risk evaluation: employing the CaRi-Heart validated FAI-score in patients screened with SCORE2 and CAD-RADS 2.0 techniques

Abstract Background Cardiac computed tomography (CCT) has confirmed the fat attenuation index (FAI) as a trustworthy marker for coronary inflammation, notably in relation to plaque vulnerability and progression. The systematic coronary risk evaluation 2 (SCORE2) is a valuable instrument for forecasting the 10-year likelihood of initial cardiovascular disease (CVD) occurrence. This study aims to determine risk re-categorization using CaRi-Heart in comparison to SCORE2 and the coronary artery disease-reporting and data system (CAD-RADS 1.0/2.0). Methods We enrolled patients (INTEL-FAT study) undergoing CCT, who were aged 40-69 years and had no previous history of CVD or diabetes. SCORE2 classified very-high-risk regions as follows: low-moderate risk as &amp;lt;2.5% (&amp;lt;50 years) and &amp;lt;5% (50-69 years), high risk as 2.5 to &amp;lt;7.5% (&amp;lt;50 years) and 5 to &amp;lt;10% (50-69 years), and very-high risk as ≥7.5% (&amp;lt;50 years) and ≥10% (50-69 years). The CaRi-Heart risk assessment categorized low risk as FAI-score ≤75th percentile for the LAD or RCA and &amp;lt;95th percentile for the LCX; medium risk as falling between the 76th and 89th percentiles for LAD/RCA and ≥95th percentile for LCX; and high risk as ≥90th percentile for LAD/RCA. Results 203 patients were included, with a mean age of 58.7 ± 6.78; 143 (70.44%) were male. CaRi-Heart assessment redefined 71.13% (69/97) of individuals from high to low SCORE2 risk, and 40.0% (8/30) from low-moderate to high SCORE2 risk. The weighted Cohen's kappa analysis revealed minimal concordance between SCORE2 and CaRi-Heart (k=-0.043). 19.71% of patients categorized as CAD-RADS 1 in CCT were reassigned to high risk after CaRi-Heart evaluation, and 26.66% of those classified as CAD-RADS 4 were downgraded to low risk. Furthermore, of the CAD-RADS 1 P1/P2 group, 15.38% and of the P3/P4 group, 66.66% were upgraded to high risk. Conversely, 45.45% of CAD-RADS 4 P1/P2 and 15.78% of P3/P4 were reassigned to low CaRi-Heart risk. The Cohen's kappa analysis comparing CAD-RADS 1.0 and 2.0 with CaRi-Heart risk revealed a low concordance (k=0.067 and k=0.014). In comparing SCORE2 risk categories to CAD-RADS classifications, a significant association was found for low-moderate SCORE2 with CAD-RADS 2 (diagnostic odds ratio [DOR] of 11.26; 95% CI: 4.37-29.00; p&amp;lt;0.001), and for high SCORE2 with CAD-RADS 4 (DOR: 0.085; 95% CI: 0.036-0.20; p&amp;lt;0.001), indicating a strong predictive value of the SCORE2 system for certain CAD-RADS classifications. Conclusions The CaRi-Heart method significantly alters risk classifications in comparison to the SCORE2 risk assessment models or the anatomical CAD-RADS 1.0 and 2.0 diagnostic instruments. These results indicate the importance of integrating established scoring systems with additional markers, such as the FAI-score. This integration offers critical understanding into the severity and future course of CAD, assisting in risk stratification and informing therapeutic choices.SCORE2, CAD-RADS and CaRi-Heart risk.Interpretation of the CaRi-Heart® risk.

Role of CT-derived global longitudinal strain in identifying left ventricular dysfunction in patients with severe aortic stenosis and preserved left ventricular ejection fraction

Abstract Introduction In patients with severe aortic stenosis, LVEF &amp;lt;50% is a current class 1 indication for aortic valve replacement. There are however studies showing increased mortality in patients with asymptomatic severe aortic stenosis and LVEF between 50-59% [1, 2]. Global longitudinal strain (GLS) has emerged as a more sensitive predictor of systolic dysfunction than ejection fraction in a wide number of cardiac diseases [3]. Purpose The aim of our study was to analyze left ventricular global longitudinal strain (GLS) by cardiac computed tomography (CT) in patients with severe aortic stenosis. We hypothesized that a larger portion of patients with LVEF 50-59% have signs of systolic dysfunction by GLS as compared to patients with LVEF ≥60%. Methods We identified 238 patients (median age 81, 51.3% females) with severe aortic stenosis, assessed by cardiac CT before undergoing transcatheter aortic valve replacement at Uppsala University hospital between 2016-2019. Patients in atrial fibrillation was excluded due to suboptimal image quality. Left ventricular mass index (LVMi), EF and peak GLS were calculated. The patients were divided into three groups based on LVEF (Reduced LVEF &amp;lt;50%, Low-Normal LVEF 50-59% and Normal LVEF ≥60%) and compared with each other regarding GLS, biomarkers and background variables. The cut off for significantly reduced GLS was set at &amp;lt;16%, in accordance with recently proposed criteria [4]. Results As expected GLS was significantly reduced in all patients with LVEF &amp;lt;50%. Among patients with Low-Normal LVEF, 62.3% had significantly reduced GLS as compared to only 3.8% patients with Normal LVEF &amp;gt;60% (p &amp;lt; 0.001). Median GLS in Low-Normal LVEF was 15.5% (IQR 14.1 - 17.4) as compared to 20.2% (IQR 18.4 - 21.9) in Normal LVEF (p &amp;lt; 0.001). Patients with Low-Normal LVEF had a significantly higher LV mass as compared to patients with Normal LVEF (median LVMi 85.8 g/m² vs. 75.8 g/m², p &amp;lt; 0.001). NT-pro-BNP was significantly higher in patients with Low-Normal LVEF compared to Normal LVEF (median 1130 vs. 664 ng/l, p = 0.003). Conclusions Almost two third of patients with severe aortic stenosis and lower range of normal LVEF (50-59%) had abnormally reduced GLS, reflecting systolic LV dysfunction, which was uncommon among those with LVEF &amp;gt;60%. Patients with LVEF 50-59% also presented with higher LV mass index and higher levels of NT-pro-BNP than patients with normal LVEF &amp;gt;60%, reflecting hypertrophic response of the myocardium to pressure overload which over time may lead to progressive myocardial decompensation. LVEF in the range of 50-59% might be an early sign of LV decompensation in severe aortic stenosis.

The association between mammographic breast density, epicardial adipose tissue volume and coronary artery disease

Abstract Background Dysfunctional adipose tissue is strongly linked to cardiometabolic disease. Epicardial adipose tissue (EAT) which is measurable on cardiac computed tomography (CT) is well correlated with cardiovascular disease (CVD), however it is not reported clinically. Breast mammography mandates reporting of breast density (BD), which is also a marker of breast adipose tissue quantity with less dense breasts indicating greater adipose tissue volume. Given the widespread use of screening mammography, this presents an opportunity to employ BD as a possible surrogate for CVD risk. Purpose To evaluate the correlation between BD, EAT and coronary artery disease (CAD). Methods Single-centre, retrospective, cross-sectional study, including women who had both clinically indicated coronary computed tomography angiogram (CCTA) and mammography. Epicardial adipose tissue volume (EATv) was quantified using semi-automated software (QFAT 2.0). BD was visually assessed by standard 4-level Breast Imaging-Reporting and Data System (BI-RADS) grade with grade A-B representing low density, and C-D representing high density. CAD was categorised as presence/absence of any coronary artery plaque, and CAD severity was quantified using the Coronary Artery Disease Reporting and Data Systems (CAD-RADS) score, with CAD-RADS 1-2 representing mild disease, CAD-RADS 3 moderate disease and CAD-RADS 4 severe disease. CAD analyses were adjusted for modifiable (hypertension, dyslipidaemia, diabetes, body mass index) and non-modifiable (age, past smoking, family history, breast cancer) risk factors. Logistic regression was performed with results presented as Odds Ratio (OR) and [95% Confidence Intervals]. Results Among 153 patients (mean age 62±10), 103 (67.3%) had low BD (high breast adiposity). Compared with high BD, low BD patients were older, had greater rates of hypertension, had significantly higher mean EAT (106.6 ± 43.0 vs 81.0 ± 31.6ml, p&amp;lt;0.001) (Figure 1), and body mass index (30.5 ± 6.3 vs 26.4 ± 5.4kg/m², p&amp;lt;0.001). Adjusted for age and hypertension, EATv remained independently predictive of low BD (OR:1.02 [1.01-1.03], p=0.006). Low BD made up a higher proportion of mild (76.5%), moderate (73.9%) and severe (80.0%) disease. Low BD was strongly associated with presence of CAD (prevalence 75% vs 48%, OR 3.21 [1.58-6.53], p=0.001) independent of EATv (p=0.25), and independent of modifiable (OR: 2.69 [1.24-5.92], p=0.012) and non-modifiable (OR: 2.42 [1.04-5.85], p=0.047) risk factors (Figure 2). Conclusions Low breast density is associated with higher EATv and independently associated with CAD presence beyond EATv and other risk factors. Consequently, mammographic breast density may act as an early risk identification tool for CAD in women.

Absolute coronary flow and microvascular resistance before and after TAVR

Abstract Purpose This study aims to investigate microcirculatory changes, both at rest and during hyperemia, using continuous intracoronary thermodilution, before TAVR, immediately post-TAVR, and at 6-month follow-up. Methods We included consecutive patients with high-gradient AS undergoing TAVR with non-obstructive coronary artery disease in the left anterior descending artery (LAD). Absolute coronary flow (Q) and microvascular resistance (R) were measured in the LAD using continuous intracoronary thermodilution at rest (Qrest) and during hyperemia (Qhyper) before and after TAVR, as well as at 6-month follow-up. Echocardiography and cardiac computed tomography (CCT) were used to quantify total myocardial mass and LAD-specific mass. Regional myocardial perfusion (QN) was calculated by dividing absolute coronary flow by the subtended myocardial mass. Results In 51 patients, absolute flow and microvascular resistance were assessed at rest and during hyperemia before and after TAVR. The mean age was 84.1 ± 5.0 years, and 35 participants were male (68.6%). Measurements were also obtained 6 months after TAVR in 20 (39%) patients. Overall, there were no significant changes in resting and hyperemic flow and resistance before and after TAVR (Qrest 68 [55-88] mL/min vs 69 [54 – 92] mL/min, p=0.776; Qhyper 158 [129 – 200] mL/min vs 172 [132, 216] mL/min, p=0.449, before and after TAVR, respectively). Consequently, coronary flow reserve (CFR) and microvascular resistance reserve (MRR) remained unchanged. At 6 months, there were no significant changes in flow and resistance both at rest and during hyperemia compared to baseline (Qrest: 72 [63-84] vs 83 [59-108] mL/min, p=0.658; Qhyper: 181 [158-200] vs 194 [167-222] mL/min, p=0.492; pre-TAVR and at 6 months follow-up, respectively), resulting in unchanged CFR and MRR. However, at follow-up, there was a noteworthy reduction in left ventricular mass of approximately 13% (from 201.9 ± 37.9g to 175.1 ± 46.6 g, p&amp;lt;0.001), leading to an increase in hyperemic perfusion (QN,hyper: 0.86 [0.69-1.06] vs 1.20 [0.99-1.32] mL/min/g, p=0.008; pre-TAVR and follow-up, respectively), but not in resting perfusion (QN, rest: 0.34 [0.30-0.48] vs 0.47 [0.36-0.67] mL/min/g, p=0.06). Conclusion Immediately after TAVR, there are no changes in absolute coronary flow and coronary flow reserve. Over time, LV remodeling is associated with increased hyperemic perfusion, indicating that, in the context of the observed pathophysiological changes in coronary microcirculation in AS patients after TAVR, the reverse LV remodeling has a more significant impact than the acute LV unloading achieved by valve replacement itself.