Dual-source CT versus single-source 64-section CT angiography for coronary artery disease: A meta-analysis

Jiang, Binghu; Wang, J.; Lv, Xianjun; Cai, Wei

doi:10.1016/j.crad.2014.03.023

Cited by 5 publications

(2 citation statements)

References 64 publications

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“…CCTA is well known to yield many false positives, but the low positive predictive values in our study seems inferior to most other reports although the results are varying [ 24 ]. There may be several contributions to this.…”

Section: Discussioncontrasting

confidence: 93%

Low-dose CT coronary angiography for assessment of coronary artery disease in patients with type 2 diabetes - A cross-sectional study

Ulimoen

Ofstad

Endresen

et al. 2015

BMC Cardiovasc Disord

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BackgroundSilent coronary artery disease (CAD) is prevalent in type 2 diabetes mellitus (T2DM). Although coronary computed tomography angiography (CCTA) over recent years has emerged a useful tool for assessing and diagnosing CAD it’s role and applicability for patients with T2DM is still unclarified, in particular in asymptomatic patients. We aimed to assess the role of CCTA in detecting and characterizing CAD in patients with T2DM without cardiac symptoms when compared to gold standard invasive coronary angiography (ICA).MethodsThis was a cross-sectional analysis of patients with T2DM without symptomatic CAD enrolled in the Asker and Baerum Cardiovascular Diabetes Study who, following clinical examination and laboratory assessment, underwent subsequently CCTA and ICA.ResultsIn total 48 Caucasian patients with T2DM (36 men, age 64.0 ± 7.3 years, diabetes duration 14.6 ± 6.4 years, HbA1c 7.4 ± 1.1 %, BMI 29.6 ± 4.3 kg/m2) consented to, and underwent, both procedures (CCTA and ICA). The population was at intermediate cardiovascular risk (mean coronary artery calcium score 269, 75 % treated with antihypertensive therapy). ICA identified a prevalence of silent CAD at 17 % whereas CCTA 35 %. CCTA had a high sensitivity (100 %) and a high negative predictive value (100 %) for detection of patients with CAD when compared to ICA, but the positive predictive value was low (47 %).ConclusionsLow-dose CCTA is a reliable method for detection and exclusion of significant CAD in T2DM and thus may be a useful tool for the clinicians. However, a low positive predictive value may limit its usefulness as a screening tool for all CAD asymptomatic patients with T2DM. Further studies should assess the applicability for risk assessment beyond the evaluation of the vascular bed.

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Section: Discussioncontrasting

confidence: 93%

Low-dose CT coronary angiography for assessment of coronary artery disease in patients with type 2 diabetes - A cross-sectional study

Ulimoen

Ofstad

Endresen

et al. 2015

BMC Cardiovasc Disord

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“…[1] Considering the role of noninvasive cardiac imaging as a gatekeeper to the catheterization laboratory,[2] ischemia rather than the mere presence of atherosclerosis should prompt referral to invasive procedures. [3] Although coronary computed tomography angiography (CCTA) is recognized as a powerful diagnostic imaging tool that is capable of ruling out obstructive disease with unequalled certainty,[4] due to its nature, conventional CCTA is unable to assess the pathophysiological consequences of a given coronary stenosis. [5,6] In comparison to conventional CT, the exploitation of two different photon energy levels by dual energy CT (DECT) holds great promise for improved tissue characterization and CT-based myocardial perfusion imaging (MPI),[7] thus overcoming the limitations of conventional cardiac CT.…”

Section: Introductionmentioning

confidence: 99%

Dual-energy computed tomography for detection of coronary artery disease

Danad

Hartaigh

Min

2015

Expert Review of Cardiovascular Therapy

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Recent technological advances in computed tomography (CT) technology have fulfilled the prerequisites for the cardiac application of dual-energy CT (DECT) imaging. By exploiting the unique characteristics of materials when exposed to two different x-ray energies, DECT holds great promise for the diagnosis and management of coronary artery disease. It allows for the assessment of myocardial perfusion to discern the hemodynamic significance of coronary disease and possesses high accuracy for the detection and characterization of coronary plaques, while facilitating reductions in radiation dose. As such, DECT enabled cardiac CT to advance beyond the mere detection of coronary stenosis expanding its role in the evaluation and management of coronary atherosclerosis.

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Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm

Dreesen,

Stroszczynski,

Lell

2024

J Digit Imaging. Inform. med.

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Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic coronary syndrome (CCS) in patients with low-to-intermediate pre-test probability. The minimum technical requirement is 64-row multidetector CT (64-MDCT), which is still frequently used, although it is prone to motion artifacts because of its limited temporal resolution and z-coverage. In this study, we evaluate the potential of a deep-learning-based motion correction algorithm (MCA) to eliminate these motion artifacts. 124 64-MDCT-acquired CCTA examinations with at least minor motion artifacts were included. Images were reconstructed using a conventional reconstruction algorithm (CA) and a MCA. Image quality (IQ), according to a 5-point Likert score, was evaluated per-segment, per-artery, and per-patient and was correlated with potentially disturbing factors (heart rate (HR), intra-cycle HR changes, BMI, age, and sex). Comparison was done by Wilcoxon-Signed-Rank test, and correlation by Spearman’s Rho. Per-patient, insufficient IQ decreased by 5.26%, and sufficient IQ increased by 9.66% with MCA. Per-artery, insufficient IQ of the right coronary artery (RCA) decreased by 18.18%, and sufficient IQ increased by 27.27%. Per-segment, insufficient IQ in segments 1 and 2 decreased by 11.51% and 24.78%, respectively, and sufficient IQ increased by 10.62% and 18.58%, respectively. Total artifacts per-artery decreased in the RCA from 3.11 ± 1.65 to 2.26 ± 1.52. HR dependence of RCA IQ decreased to intermediate correlation in images with MCA reconstruction. The applied MCA improves the IQ of 64-MDCT-acquired images and reduces the influence of HR on IQ, increasing 64-MDCT validity in the diagnosis of CCS.

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Dual-source CT versus single-source 64-section CT angiography for coronary artery disease: A meta-analysis

Cited by 5 publications

References 64 publications

Low-dose CT coronary angiography for assessment of coronary artery disease in patients with type 2 diabetes - A cross-sectional study

Low-dose CT coronary angiography for assessment of coronary artery disease in patients with type 2 diabetes - A cross-sectional study

Dual-energy computed tomography for detection of coronary artery disease

Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm

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