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1.
Ischemia and outcome prediction by cardiac CT based machine learning.
Brandt, V, Emrich, T, Schoepf, UJ, Dargis, DM, Bayer, RR, De Cecco, CN, Tesche, C
The international journal of cardiovascular imaging. 2020;(12):2429-2439
Abstract
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for cardiovascular risk stratification and therapeutic decision-making, in addition to providing prognostic value for the occurrence of adverse cardiac outcome. In recent years, artificial intelligence (AI) and, in particular, the application of machine learning (ML) algorithms, have been promoted in cardiovascular CT imaging for improved decision pathways, risk stratification, and outcome prediction in a more objective, reproducible, and rational manner. AI is based on computer science and mathematics that are based on big data, high performance computational infrastructure, and applied algorithms. The application of ML in daily routine clinical practice may hold potential to improve imaging workflow and to promote better outcome prediction and more effective decision-making in patient management. Moreover, CT represents a field wherein ML may be particularly useful, such as CACS and cCTA. Thus, the purpose of this review is to give a short overview about the contemporary state of ML based algorithms in cardiac CT, as well as to provide clinicians with currently available scientific data on clinical validation and implementation of these algorithms for the prediction of ischemia-specific CAD and cardiovascular outcome.
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2.
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.
Muscogiuri, G, Van Assen, M, Tesche, C, De Cecco, CN, Chiesa, M, Scafuri, S, Guglielmo, M, Baggiano, A, Fusini, L, Guaricci, AI, et al
BioMed research international. 2020;:6649410
Abstract
Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for evaluation of coronary artery disease (CAD). Despite the excellent capability to rule-out CAD, CCTA may overestimate the degree of stenosis; furthermore, CCTA analysis can be time consuming, often requiring advanced postprocessing techniques. In consideration of the most recent ESC guidelines on CAD management, which will likely increase CCTA volume over the next years, new tools are necessary to shorten reporting time and improve the accuracy for the detection of ischemia-inducing coronary lesions. The application of artificial intelligence (AI) may provide a helpful tool in CCTA, improving the evaluation and quantification of coronary stenosis, plaque characterization, and assessment of myocardial ischemia. Furthermore, in comparison with existing risk scores, machine-learning algorithms can better predict the outcome utilizing both imaging findings and clinical parameters. Medical AI is moving from the research field to daily clinical practice, and with the increasing number of CCTA examinations, AI will be extensively utilized in cardiac imaging. This review is aimed at illustrating the state of the art in AI-based CCTA applications and future clinical scenarios.
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3.
Coronary artery calcium: A technical argument for a new scoring method.
Willemink, MJ, van der Werf, NR, Nieman, K, Greuter, MJW, Koweek, LM, Fleischmann, D
Journal of cardiovascular computed tomography. 2019;(6):347-352
Abstract
Coronary artery calcium (CAC) is a strong predictor for future cardiovascular events. Traditionally CAC has been quantified using the Agatston score, which was developed in the late 1980s for electron beam tomography (EBT). While EBT has been completely replaced by modern multiple-detector row CT technology, the traditional CAC scoring method by Agatston remains in use, although the literature indicates suboptimal reproducibility and subjects being incorrectly classified. The traditional Agatston scoring method counteracts the technical advances of CT technology, and prevents the use of thinner sections, obtained at lower tube voltage and overall decreased radiation exposure that has become available to other CT applications. Moreover, recent studies have shown that not only the total amount of CAC, but also its density and distribution in the coronary arterial tree may be of prognostic value. Acquisition and reconstruction techniques thus need to be adapted for modern CT technology and optimized for CAC quantification. In this review we describe the technical limitations of the Agatston score followed by our suggestions for developing a new and more robust CAC quantification method.
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Intracoronary Lithotripsy for the Treatment of Calcified Plaque.
Yeoh, J, Hill, J
Interventional cardiology clinics. 2019;(4):411-424
Abstract
Intravascular lithotripsy facilitates percutaneous coronary intervention of lesions with severe calcification by using high-pressure ultrasonic energy. It is the newest adjunctive tool for calcium modification and is showing promise as its users gather more experience and it becomes readily available worldwide. This article reviews intravascular lithotripsy technology, the evidence in the literature, and the advantages and disadvantages compared with other forms of calcium modification, and discusses its role in specific subsets of coronary lesions. It concludes with a discussion about the future direction of research involving this new technology as its role within percutaneous cardiac procedures becomes more defined.
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5.
Cardiovascular Risk Heterogeneity in Adults with Diabetes: Selective Use of Coronary Artery Calcium in Statin Use Decision-making.
Sarkar, S, Orimoloye, OA, Nass, CM, Blumenthal, RS, Martin, SS
Journal of general internal medicine. 2019;(11):2643-2647
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Abstract
Current American College of Cardiology/American Heart Association and American Diabetes Association guidelines recommend statin therapy for all patients with diabetes between the ages of 40 and 75, including those without cardiovascular disease (CVD). While diabetes is a major CVD risk factor, not all patients with diabetes have an equal risk of CVD. Thus, a more risk-based approach warrants consideration when recommending statin therapy for the primary prevention of CVD. Coronary artery calcium (CAC) is a noninvasive imaging modality that can help risk stratify patients with diabetes for future CVD events. CAC has been extensively studied in large cohorts such as the Multi-Ethnic Study of Atherosclerosis and found to outperform other novel risk stratification tools including carotid intima-media thickness. Moreover, a CAC score of 0 has been shown to be useful in downgrading the estimated risk of a CVD event in patients with diabetes and an intermediate Pooled Cohort Equation score. As clinicians weigh the recommendation for a lifelong therapy and the problem of statin nonadherence and patients weigh concerns about adverse effects of statins, the decision to initiate statin therapy in patients with diabetes is ideally a shared one between patients and providers, and CAC could facilitate this discussion.
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Coronary risk assessment using traditional risk factors with CT coronary artery calcium scoring in clinical practice.
Kerut, EK, Hall, ME, Turner, MC, McMullan, MR
Echocardiography (Mount Kisco, N.Y.). 2018;(8):1216-1222
Abstract
As coronary artery calcium (CAC) is atherosclerosis and not just a marker of cardiovascular (CV) disease, measurement of a patient's coronary artery calcium score (CACS) is a strong predictor of risk. Clinically performed in asymptomatic patients, the CACS, along with several CV risk factors, namely age, sex, ethnicity, diabetes, tobacco use, family history, cholesterol level, blood pressure, and use of cholesterol or hypertensive medications, provide a predictive model of 10 year risk for CV events. A smartphone "App" makes this quick to obtain and use. This helps the clinician in making recommendations for both lifestyle changes and statin therapy. Those patients in which the most benefit occur from measurement of a CACS are those at an intermediate CV risk. Measurement of the CACS has become an integral part of the clinician's assessment of a patient's CV risk and for guiding preventative therapies.
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Primary prevention of coronary artery disease: let's start with calcium score.
Gatto, L, Prati, F
Journal of cardiovascular medicine (Hagerstown, Md.). 2018;:e103-e106
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Coronary Calcium Score and Cardiovascular Risk.
Greenland, P, Blaha, MJ, Budoff, MJ, Erbel, R, Watson, KE
Journal of the American College of Cardiology. 2018;(4):434-447
Abstract
Coronary artery calcium (CAC) is a highly specific feature of coronary atherosclerosis. On the basis of single-center and multicenter clinical and population-based studies with short-term and long-term outcomes data (up to 15-year follow-up), CAC scoring has emerged as a widely available, consistent, and reproducible means of assessing risk for major cardiovascular outcomes, especially useful in asymptomatic people for planning primary prevention interventions such as statins and aspirin. CAC testing in asymptomatic populations is cost effective across a broad range of baseline risk. This review summarizes evidence concerning CAC, including its pathobiology, modalities for detection, predictive role, use in prediction scoring algorithms, CAC progression, evidence that CAC changes the clinical approach to the patient and patient behavior, novel applications of CAC, future directions in scoring CAC scans, and new CAC guidelines.
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Coronary computed tomographic imaging in women: An expert consensus statement from the Society of Cardiovascular Computed Tomography.
Truong, QA, Rinehart, S, Abbara, S, Achenbach, S, Berman, DS, Bullock-Palmer, R, Carrascosa, P, Chinnaiyan, KM, Dey, D, Ferencik, M, et al
Journal of cardiovascular computed tomography. 2018;(6):451-466
Abstract
This expert consensus statement from the Society of Cardiovascular Computed Tomography (SCCT) provides an evidence synthesis on the use of computed tomography (CT) imaging for diagnosis and risk stratification of coronary artery disease in women. From large patient and population cohorts of asymptomatic women, detection of any coronary artery calcium that identifies females with a 10-year atherosclerotic cardiovascular disease risk of >7.5% may more effectively triage women who may benefit from pharmacologic therapy. In addition to accurate detection of obstructive coronary artery disease (CAD), CT angiography (CTA) identifies nonobstructive atherosclerotic plaque extent and composition which is otherwise not detected by alternative stress testing modalities. Moreover, CTA has superior risk stratification when compared to stress testing in symptomatic women with stable chest pain (or equivalent) symptoms. For the evaluation of symptomatic women both in the emergency department and the outpatient setting, there is abundant evidence from large observational registries and multi-center randomized trials, that CT imaging is an effective procedure. Although radiation doses are far less for CT when compared to nuclear imaging, radiation dose reduction strategies should be applied in all women undergoing CT imaging. Effective and appropriate use of CT imaging can provide the means for improved detection of at-risk women and thereby focus preventive management resulting in long-term risk reduction and improved clinical outcomes.
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The evolving view of coronary artery calcium and cardiovascular disease risk.
Thomas, IC, Forbang, NI, Criqui, MH
Clinical cardiology. 2018;(1):144-150
Abstract
Calcification of the coronary artery is a complex pathophysiologic process that is intimately associated with atherosclerosis. Extensive investigation has demonstrated the value of identifying and quantifying coronary artery calcium (CAC) in atherosclerotic cardiovascular disease (CVD) prognostication. However, over the last several years, an increasing body of evidence has suggested that CAC has underappreciated aspects that modulate, and at times attenuate, future CVD risk. The most commonly used measure of CAC, the Agatston unit, effectively models both higher density and higher area of CAC as risk factors for future CVD events. Recent findings from the Multi-Ethnic Study of Atherosclerosis (MESA) have challenged this assumption, demonstrating that higher density of CAC is protective for coronary heart disease and CVD events. Statins may be associated with an increase in CAC, an unexpected finding given their clear benefits in the prevention and treatment of CVD. Studies utilizing intracoronary ultrasound and coronary computed tomography angiography have demonstrated that calcified atherosclerotic plaque-as compared with noncalcified or sparsely calcified plaque-is associated with fewer CVD events. These studies lend support to the often-asserted (but as yet unvalidated) view that calcification may play a role in plaque stabilization. Furthermore, vascular calcification, though a surrogate for atherosclerotic plaque burden, may also possess identifiable aspects that can refine CVD risk assessment.