Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CTA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CTA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (1) (semi-)automatically detect and quantify stenosis on CTA, in comparison with quantitative coronary angiography (QCA) and CTA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CTA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CTA datasets with corresponding reference standards are described and made available. The algorithms from 11 research groups were quantitatively evaluated and compared. The results show that (1) some of the current stenosis detection/quantification algorithms may be used for triage or as a second-reader in clinical practice, and that (2) automatic lumen segmentation is possible with a precision similar to that obtained by experts. The framework is open for new submissions through the website, at http://coronary.bigr.nl/stenoses/.

CT fractional flow reserve: the next level in non-invasive cardiac imaging.

The haemodynamic effect of a coronary artery stenosis is a better predictor of prognosis than anatomical lumen obstruction. Until recently, no individual non-invasive test could provide both accurate coronary anatomy and lesion-specific myocardial ischaemia. However, computer tomography (CT) fractional flow reserve, which can be calculated from a standard CT coronary angiogram, was recently demonstrated to accurately detect and rule out the haemodynamic significance of individual coronary artery stenoses.

Unrecognised myocardial infarction in subjects at high vascular risk: prevalence and determinants.

OBJECTIVE: To investigate the prevalence and determinants of unrecognised myocardial infarction (UMI). DESIGN, SETTING, PATIENTS: In this cross-sectional study in a tertiary centre, a delayed enhancement cardiac MRI (DE-CMR), which identifies both Q-wave and non-Q wave MIs, was performed in 502 subjects with manifest extracardiac atherosclerotic disease or marked risk factors for atherosclerosis without symptomatic coronary artery disease. MAIN OUTCOME MEASURES: UMI was defined as the presence of delayed enhancement without corresponding clinical history. RESULTS: DE-CMR was of sufficient image quality in 480 (95.6%) subjects. A UMI was present in 45 (9.4%) of all subjects; in 13.1% of men and in 3.7% of women. The risk of UMI increased from 6.0% (95% CI 2.2 to 9.8%) in those with two vascular risk factors up to 26.2% (95% CI 15.2 to 37.3%) in those with four or five risk factors. In a multivariable analysis, the risk of UMI was related to male gender (OR 2.3 (95% CI 1.0 to 5.6)), age (OR 1.04 (95% CI 1.00 to 1.07) per year), ever smoking (OR 3.1 (95% CI 1.0 to 9.1), history of stroke (OR 1.9 (95% CI 0.8 to 4.3)) and history of aneurysm of the abdominal aorta (OR 2.6 (95% CI 1.0 to 6.9)). CONCLUSIONS: In cardiac asymptomatic subjects at high vascular risk, UMI is common. The risk of UMI increases with increasing presence of risk factors.

Rationale and design of the SMART Heart study: A prediction model for left ventricular hypertrophy in hypertension.

Left ventricular hypertrophy (LVH) is an independent risk factor for the development of heart failure, coronary heart disease and stroke. LVH develops in response to haemodynamic overload, e.g. hypertension. LVH was originally thought to start as an adaptive and beneficial response required to normalise wall stress. However, this concept has been challenged by recent animal experiments suggesting that any degree of LVH is detrimental for the preservation of cardiac function and survival. If confirmed in humans, these findings imply that an increase in LV mass should be prevented, e.g. by lifestyle or pharmacological interventions. To facilitate and optimise interventions, the SMART Heart study was recently set up to develop a prediction model, also involving single nucleotide polymorphism data, for the identification of subjects at high risk of developing LVH in hypertension. For this purpose 1000 subjects with chronic hypertension will undergo cardiac MR imaging. In addition, this study allows the extrapolation of animal experimental genetic research into the human situation. (Neth Heart J 2007;15:295-8.).

Left ventricular hypertrophy: a shift in paradigm.

Observational studies have identified left ventricular hypertrophy (LVH) as a strong, independent risk factor for the development of heart failure (HF), coronary heart disease and stroke. LVH develops in response to hemodynamic overload. Classical conceptualization has it that LVH would start as an adaptive, beneficial response in order to normalize wall stress. With progression of the disease, deterioration to maladaptive hypertrophy, and further on to HF could occur. Recent experiments in animal models of pressure-overload and myocardial infarction now challenge this concept by demonstrating that blunting the hypertrophic response is actually associated with preserved cardiac function, and with improved survival. These findings may have profound therapeutical implications.

Progress in noninvasive coronary artery imaging using multislice CT.

Conventional coronary angiography (CAG) has been the reference standard for the assessment of coronary artery disease since its introduction in 1958. However, several studies have shown that diagnostic CAG has an average morbidity of 2% and a mortality of approximately 0.1%. In the last decade, progress in medical imaging has opened the way to noninvasive assessment of the coronary arteries at lower cost and risk. Of the different modalities, multislice CT (MSCT) has made the biggest step forward. At the 2005 European Congress of Radiology (ECR), experiences with the latest developments in noninvasive coronary artery imaging were reported. This report summarises the advances in the use of MSCT in coronary stenosis detection, emergency decision-making, plaque imaging, and the analysis of cardiac function and late enhancement. Also, attention is paid to new strategies to reduce MSCT-related radiation exposure.