Journal of cardiovascular computed tomography最新文献

Background: Discrepancies often exist between patient-reported symptoms and diagnostic test findings in patients with suspected obstructive coronary artery disease (CAD).

Objectives: To quantify the association between patient-reported symptoms and the diagnosis of severe stenosis in patients with suspected obstructive CAD.

Methods: Two large-scale cohorts of patients with new-onset symptoms suggestive of obstructive CAD were evaluated. Chest discomfort was assessed by typicality, location, type, exertional/stress factors, and relief with rest/nitroglycerine. Patients underwent non-invasive diagnostic testing (coronary computed tomographic angiography (CCTA) or functional testing), followed by test-result-driven invasive coronary angiography (ICA). Severe stenosis was defined as ≥70 ​% diameter stenosis on ICA. Sensitivity analyses included CCTA stenosis, functional abnormalities, and revascularization.

Results: Of 14,410 patients, 2093 (14.5 ​%) were referred for ICA, and 765 (5.3 ​%) were diagnosed with severe stenosis. Patients with typical angina (n ​= ​224) had higher odds of being diagnosed with severe stenosis on ICA (OR and 95 ​% CIs: 2.84 [2.40-3.34]) than those with atypical or non-anginal symptoms. In patients diagnosed with severe stenosis on ICA, those with exertional/stress factors (n ​= ​418; OR [95 ​% CI]: 2.50 [2.16-2.90]) and relief with rest/nitroglycerine (n ​= ​318, 2.28; [1.96-2.65]) had higher odds compared to those without. Patients reporting pressure or burning pain had higher odds of severe stenosis. Associations were consistent across sex and age groups, and sensitivity references.

Conclusions: Exertional/stress-related chest discomfort and relief with rest/nitroglycerine increased the odds of severe stenosis in patients with suspected CAD undergoing test-result-driven ICA, while location and type of chest pain were less associated, with no differences across sex or age groups.

Background: Cardiac Computed Tomography (CCT) is increasingly used to provide 2D, 3D and 4D information in patients with congenital heart disease of all ages. Historically, negotiated rates for professional and technical fees associated with cardiac imaging were confidential, with variability in professional, technical and global charges, reimbursement and cost to patients for the same current procedural terminology (CPT) code at different institutions. Billing transparency is a key component of both the CARE act passed in 2020 and the Health Care PRICE Transparency Act 2.0 passed in 2021. Institutional technical fees and negotiated insurance rates by CPT billing code are now publicly available and can be compared between institutions.

Methods: A cohort of congenital heart disease programs was identified as the top 50 programs by procedural volume (Society of Thoracic Surgeons database) and by national rankings (US News and World Report). The publicly available negotiated reimbursement rates for the technical component of billing for CPT codes used for CHD CCT (75572, 75573, and 75574) at each center was determined (trybilly.app). The cash price, average insured price and the range of negotiated insured prices for the technical component of CHD CCT were recorded. The variability of technical fee charges for programs were calculated as median, IQR and range. Technical fee correlation to RVUs was also calculated. Professional fee and global procedural fees are not available for comparison.

Results: For the 75572 code, the median charge was $1209.50, IQR (783.50, 1673.75), and range was (49,2618). For the 75573 code, the median charge was $958, IQR (718,1403), and range (60,2622). For the 75574 code the median charge was $1060, IQR (833.5,1604), and range (61,2948). There was a 53-fold difference in technical fee charges for C CT between low and high negotiated insurance prices. Charges for CCT in CHD were not correlated with US News rankings or surgical center volume. There was no correlation between RVUs and technical fees.

Conclusion: There is significant variability in the charges for the technical component of CCT in CHD, not correlated with national ranking or surgical volume. Variability in charges for identical services across centers may have a disproportionate impact on uninsured and underinsured populations. and lead to inequity. This data may inform negotiations for reimbursement for this time-consuming skill set. The variability of technical fee associated with CT for CHD has not been previously analyzed or compared by national ranking or surgical volumes.

Background: Cardiac Computed Tomography (CCT) is increasingly used for evaluation of congenital heart disease (CHD) in patients of all ages. Pediatric and adult congenital heart disease (ACHD) surgical programs require high quality CCT imaging as part of the multimodality imaging support expected of comprehensive care centers. Despite these expectations, there are no benchmarks or defined programmatic elements specific to the performance of CCT in patients with CHD. To address this deficit, this manuscript is written by a group of current CHD CCT practitioners and provides a collective opinion regarding the clinical components required, and essential resources needed, to deliver a comprehensive CCT CHD imaging program. Resource allocation was divided into CCT technology, imaging technologist, physician and programmatic support. The group is inclusive of pediatric and adult cardiologists and radiologists and includes practitioners from high and lower resourced programs and countries. Imaging settings are inclusive of academic and private practice, heart centers and combined radiology/cardiology service lines. Challenges and areas for future advocacy to support this growing specialty are proposed to improve performance standards that will consider the expected widespread variation in technical and staffing resources, skillsets, and practice settings for CT in CHD.

Summary: High quality cardiovascular computed tomography is an essential component of pediatric and adult congenital programs and surgical centers. Program growth outpaces resource allocation in most institutions. This opinion paper outlines essential components for technical, technologist and physician resources and programmatic support to develop and maintain a successful CCT in CHD program. Although a small component of most cardiac imaging programs, it is an essential component particularly in complex cases. Institutional and imaging societal commitment is essential to support this emerging field at highest quality.

Background: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among patients with severe aortic stenosis (AS) undergoing coronary CT angiography (CCTA) before transcatheter aortic valve replacement (TAVR).

Methods: This retrospective study evaluated patients with severe AS who underwent CCTA examination before TAVR between September 2014 and December 2020. An AI-prototype software fully automatically calculated left atrial and left ventricular end-diastolic volumes and LACI was defined by the ratio between them. Uni- and multivariate Cox proportional hazard methods were used to identify the predictors of mortality in models adjusting for relevant significant parameters and Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM) score.

Results: A total of 656 patients (77 years [IQR, 71-84 years]; 387 [59.0 ​%] male) were included in the final cohort. The all-cause mortality rate was 21.6 ​% over a median follow-up time of 24 (10-40) months. When adjusting for clinical confounders, LACI ≥43.7 ​% independently predicted mortality (adjusted HR, 1.52, [95 ​% CI: 1.03, 2.22]; p ​= ​0.032). After adjusting for the STS-PROM score in a separate model, LACI ≥43.7 ​% remained an independent prognostic parameter (adjusted HR, 1.47, [95 ​% CI: 1.03-2.08]; p ​= ​0.031). In a sub-analysis of patients with preserved left ventricular ejection fraction, LACI remained a significant predictor (adjusted HR, 1.72 [95 ​% CI: 1.02, 2.89]; p ​= ​0.042).

Conclusions: AI-based fully automated assessment of LACI can be used independently to predict mortality in patients undergoing TAVR, including those with preserved LVEF.

Background: Diabetes mellitus is an established cardiovascular risk factor. We assessed the impact of diabetes mellitus on quantitative plaque and long-term outcomes in patients with and without diabetes mellitus in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.

Methods: Coronary artery calcium (CAC) was assessed on non-contrast computed tomography (CT). Coronary stenoses, visually assessed adverse plaque characteristics and quantitative plaque burdens (calcified, non-calcified, low attenuation and total, Autoplaque 2.5) were assessed on coronary CT angiography. Multivariable and survival analyses were performed.

Results: Images of 1769 patients were assessed (56 ​% male, 58 ​± ​9 years). Diabetes mellitus was present in 196 (11 ​%) patients. Patients with diabetes mellitus had higher 10-year cardiovascular risk score (29 [interquartile range 21, 40] versus 15 [9, 21] %, p ​< ​0.001) and CAC score (71 [1, 447] versus 17 [0, 209] Agatston units, p ​< ​0.001), but were not more likely to have obstructive disease or visually assessed adverse plaque characteristics. Patients with diabetes mellitus had higher quantitatively assessed calcified, non-calcified, low attenuation and total plaque burdens. After adjustment for age and sex, diabetes mellitus was an independent predictor of calcified plaque burden (p ​= ​0.009), but not the other plaque types. During 8.7 [IQR 8, 9.6] years follow-up, diabetes mellitus was associated with an increased risk of fatal or non-fatal myocardial infarction, adjusted for age and sex (hazard ratio 1.85, 95 ​% confidence interval 1.09 to 3.17, p ​= ​0.024).

Conclusion: Diabetes mellitus was an independent predictor of quantitatively assessed plaque burden, particularly calcified plaque, and was associated with an increased risk of myocardial infarction.