AI Article Synopsis

Article Abstract

Background: Myocardial CT perfusion (CTP) has been validated as an incremental diagnostic predictor over coronary computed tomography angiography (CTA) in assessing hemodynamically significant stenosis.

Objectives: To assess the diagnostic performance of CTA and CTP alone versus combined CTA-CTP stratified by Morise's pre-test probability and coronary artery calcium (CAC, Agatston) score.

Methods: 381 individuals (153 low/intermediate-risk for CAD, 83 high-risk, 145 known CAD) were further stratified based on CAC score cut-offs of 1-399 and ≥400. Area under the curve for receiver operating characteristics (AUC) was calculated to assess the diagnostic performance. Reference standards were QCA≥50% stenosis+corresponding SPECT summed stress score ≥1.

Results: In both pre-test risk groups with an Agatston score of 1-399, AUCs of CTA-CTP were not significantly different than that from CTA alone. In the low/intermediate-risk group with CAC score 1-399, AUC for CTA-CTP (89) was higher than that for CTP (76, p=0.003) alone. In the same group with CAC score ≥400, AUCs were higher for CTA-CTP (97) than that for CTA (88, p=0.030) and CTP (83, p=0.033). In high risk/known CAD patients with CAC 1-399, diagnostic performance for CTA-CTP (77) was superior to CTP (71, p=0.037) alone. In the high risk/known CAD group with CAC score ≥400, AUCs for combined imaging were higher (86) than that for CTA (75, p<0.001) as well as CTP (78, p=0.020).

Conclusions: The incremental diagnostic accuracy of CTP over CTA persists in patients across severity spectra of pre-test probability of CAD and coronary artery calcification. In patients with severe coronary calcification (CAC score≥400), combined CTA-CTP has better diagnostic accuracy than CTA and CTP alone.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijcard.2015.05.110DOI Listing

Publication Analysis

Top Keywords

cac score
16
coronary artery
12
diagnostic performance
12
group cac
12
incremental diagnostic
8
computed tomography
8
myocardial perfusion
8
pre-test probability
8
probability coronary
8
assess diagnostic
8

Similar Publications

Objectives: This study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree and cardiovascular disease risk in patients receiving maintenance hemodialysis (MHD).

Methods: In total, 181 patients receiving MHD who needed chest CT and coronary artery calcium score (CACS) scannings sequentially underwent non-ECG-triggered, automated tube voltage selection, high-pitch chest LDCT with a kV-independent reconstruction algorithm and ECG-triggered standard CACS scannings. Then, the image quality, radiation doses, Agatston scores (ASs), and cardiac risk classifications of the two scans were compared.

View Article and Find Full Text PDF

Background: Coronary artery disease (CAD) is the third leading cause of death worldwide, so prevention and early diagnosis play important roles to reduce mortality and morbidity. Traditional risk-score assessments were used to find the at-risk patients in order to prevent or early treatment of CAD. Adding imaging data to traditional risk-score systems will able us to find these patients more confidently and reduce the probable mismanagements.

View Article and Find Full Text PDF

Background: Coronary artery calcification (CAC) detected through chest computed tomography (CT) strongly predicts cardiovascular events in asymptomatic individuals undergoing primary prevention. Few studies with limited sample sizes have investigated the predictive value of CAC for cardiovascular complications in COVID-19. This study examined the impact of CAC on cardiovascular complications using a large-scale COVID-19 database.

View Article and Find Full Text PDF

Introduction: Premature advanced subclinical coronary atherosclerosis among young adults is an under-recognized and unique disease phenotype that has not been well characterized.

Methods: We used data from 44,047 participants with no prior CVD history (59.8% male) from the Coronary Artery Calcium (CAC) Consortium.

View Article and Find Full Text PDF

Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.

Eur Heart J Cardiovasc Imaging

January 2025

Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Aims: Proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected on gated cardiac computer tomography (CT) and whether it provides prognostic significance with artificial intelligence (AI).

Methods And Results: A total of 2016 asymptomatic adults with baseline CAC CT scans from a single site were followed up for MACE for 14 years.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!