Publications by authors named "Peter Stone"

Background: Being able to measure informed choice represents a mechanism for service evaluation to monitor whether informed choice is achieved in practice. Approaches to measuring informed choice to date have been based in the biomedical hegemony. Overlooked is the effect of epistemic positioning, that is, how people are positioned as credible knowers in relation to knowledge tested as being relevant for informed choice.

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  • * The study aimed to explore the connection between high-risk ESS metrics and inflammatory cells and cytokines involved in coronary plaque erosion during acute coronary syndromes.
  • * Findings showed that in eroded plaques, low ESS and high gradients were linked to an increase in local proinflammatory T cells and cytokines, indicating a potential mechanism for plaque instability.
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Fetal hypoxemia is ubiquitous during labor and, when severe, is associated with perinatal death and long-term neurodevelopmental disability. Adverse outcomes are highly associated with barriers to care, such that developing countries have a disproportionate burden of perinatal injury. The prevalence of hypoxemia and its link to injury can be obscure, simply because the healthy fetus has robust coordinated defense mechanisms, spearheaded by the peripheral chemoreflex, such that hypoxemia only becomes apparent in the minority of cases associated with stillbirth, severe metabolic acidemia or adverse neurodevelopmental outcomes.

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Background: Plaques associated with abnormally low physiological flow reserve indices are appropriate for percutaneous coronary intervention (PCI). However, recent trials demonstrate that PCI of ischemia-producing lesions does not reduce major adverse cardiac events (MACE). Low endothelial shear stress (ESS) or high ESS gradient (ESSG) are associated with MACE wherever they occur along the plaque.

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National science, technology, engineering, and mathematics education emphasizes science practices, such as hands-on learning. We describe a week-long activity where students participate in real-world scientific discovery, including "hunting" for bacteriophage in a variety of environmental samples. First, the students collect samples, then look for evidence of phage on "bait" bacteria, and finally amplify/purify the phages for further study.

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  • The study aimed to evaluate the effectiveness of coronary computed tomography angiography (CCTA) in assessing the risk of cardiovascular events through atherosclerotic plaque analysis in patients with ischemia.
  • Using quantitative computed tomography (AI-QCT), researchers analyzed plaque characteristics and examined their relationship to cardiovascular death or myocardial infarction over an average follow-up of 3.3 years.
  • Results showed that total plaque volume was the strongest predictor of adverse outcomes, and incorporating AI-QCT data improved predictive models beyond traditional risk factors.
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  • - The study evaluated how various cardiometabolic risk factors, such as metabolic syndrome and individual factors like high fasting glucose and low HDL cholesterol, impact the progression of coronary plaque and the likelihood of major cardiovascular events in patients with stable coronary artery disease.
  • - In a cohort of 1,200 patients followed over several years, 28% experienced rapid coronary plaque progression, identified primarily through increased atheroma volume, which indicates worsening arterial health.
  • - The findings suggest that a combination of risk factors, particularly high blood sugar and blood pressure, significantly forecast both plaque progression and serious cardiovascular incidents, highlighting the importance of monitoring these factors in at-risk patients.
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  • A study was conducted to improve the prediction of which coronary artery lesions could lead to acute coronary syndrome (ACS) by integrating artificial intelligence (AI) with traditional methods.
  • The research focused on patients who had undergone coronary CT angiography (CTA) before experiencing an ACS event, analyzing both culprit (problematic) and nonculprit lesions.
  • The new model incorporating AI features showed significantly better predictability for identifying high-risk lesions compared to standard methods, suggesting that AI can enhance cardiac risk assessment.
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Background: Radiomics is expected to identify imaging features beyond the human eye. We investigated whether radiomics can identify coronary segments that will develop new atherosclerotic plaques on coronary computed tomography angiography (CCTA).

Methods: From a prospective multinational registry of patients with serial CCTA studies at ≥ 2-year intervals, segments without identifiable coronary plaque at baseline were selected and radiomic features were extracted.

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Background And Aims: Anatomical imaging alone of coronary atherosclerotic plaques is insufficient to identify risk of future adverse events and guide management of non-culprit lesions. Low endothelial shear stress (ESS) and high plaque structural stress (PSS) are associated with events, but individually their predictive value is insufficient for risk prediction. We determined whether combining multiple complementary, biomechanical and anatomical plaque characteristics improves outcome prediction sufficiently to inform clinical decision-making.

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Background: Non-obstructing small coronary plaques may not be well recognized by expert readers during coronary computed tomography angiography (CCTA) evaluation. Recent developments in atherosclerosis imaging quantitative computed tomography (AI-QCT) enabled by machine learning allow for whole-heart coronary phenotyping of atherosclerosis, but its diagnostic role for detection of small plaques on CCTA is unknown.

Methods: We performed AI-QCT in patients who underwent serial CCTA in the multinational PARADIGM study.

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Background And Aims: Inhibition of Renin-Angiotensin-Aldosterone-System (RAAS) has been hypothesized to improve endothelial function and reduce plaque inflammation, however, their impact on the progression of coronary atherosclerosis is unclear. We aim to study the effects of RAAS inhibitor on plaque progression and composition assessed by serial coronary CT angiography (CCTA).

Methods: We performed a prospective, multinational study consisting of a registry of patients without history of CAD, who underwent serial CCTAs.

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Purpose Of Review: Major adverse cardiac events (MACE) typically arise from nonflow-limiting coronary artery disease and not from flow-limiting obstructions that cause ischemia. This review elaborates the current understanding of the mechanism(s) for plaque development, progression, and destabilization and how identification of these high-risk features can optimally inform clinical management.

Recent Findings: Advanced invasive and noninvasive coronary imaging and computational postprocessing enhance an understanding of pathobiologic/pathophysiologic features of coronary artery plaques prone to destabilization and MACE.

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The maternal cardiovascular-circulatory system undergoes profound changes almost from the conception of a pregnancy until the postpartum period to support the maternal adaptions required for pregnancy and lactation. Maintenance of cardiovascular homeostasis requires changes in the cardiovascular autonomic responses. Here, we present a longitudinal study of the maternal cardiovascular autonomic responses to pregnancy and maternal position.

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What is the optimal penalty for errors in infant skill learning? Behavioral analyses indicate that errors are frequent but trivial as infants acquire foundational skills. In learning to walk, for example, falling is commonplace but appears to incur only a negligible penalty. Behavioral data, however, cannot reveal whether a low penalty for falling is beneficial for learning to walk.

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Fetal growth restriction (FGR) and maternal supine going-to-sleep position are both risk factors for late stillbirth. This study aimed to use magnetic resonance imaging (MRI) to quantify the effect of maternal supine position on maternal-placental and fetoplacental blood flow, placental oxygen transfer and fetal oxygenation in FGR and healthy pregnancies. Twelve women with FGR and 27 women with healthy pregnancies at 34-38 weeks' gestation underwent MRI in both left lateral and supine positions.

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Games continue to drive progress in the development of artifi cial intelligence.

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Hypoxia-ischaemia (HI) before birth is a key risk factor for stillbirth and severe neurodevelopmental disability in survivors, including cerebral palsy, although there are no reliable biomarkers to detect at risk fetuses that may have suffered a transient period of severe HI. We investigated time and frequency domain measures of fetal heart rate variability (FHRV) for 3 weeks after HI in preterm fetal sheep at 0.7 gestation (equivalent to preterm humans) until 0.

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Human-exoskeleton interactions have the potential to bring about changes in human behavior for physical rehabilitation or skill augmentation. Despite significant advances in the design and control of these robots, their application to human training remains limited. The key obstacles to the design of such training paradigms are the prediction of human-exoskeleton interaction effects and the selection of interaction control to affect human behavior.

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Background And Aims: Plaque erosion is a common underlying cause of acute coronary syndromes. The role of endothelial shear stress (ESS) and endothelial shear stress gradient (ESSG) in plaque erosion remains unknown. We aimed to determine the role of ESS metrics and maximum plaque slope steepness in plaques with erosion versus stable plaques.

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Article Synopsis
  • The study aimed to assess how statins affect plaque progression in patients with mild coronary artery disease (CAD) and identify factors that predict rapid plaque development using serial coronary CT angiography.
  • It analyzed data from 613 patients with mild stenosis (25-49% blockage), revealing that statin therapy significantly slowed down plaque progression, especially in lesions with multiple high-risk features.
  • Key predictors of rapid plaque growth included having two or more high-risk features, smoking, and diabetes, suggesting that aggressive statin treatment may be beneficial even in cases of mild CAD with these risk factors.
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Introduction: Intravascular ultrasound (IVUS) studies have shown that biomechanical variables, particularly endothelial shear stress (ESS), add synergistic prognostic insight when combined with anatomic high-risk plaque features. Non-invasive risk assessment of coronary plaques with coronary computed tomography angiography (CCTA) would be helpful to enable broad population risk-screening.

Aim: To compare the accuracy of ESS computation of local ESS metrics by CCTA vs IVUS imaging.

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Coronary artery disease is the leading cause of morbidity and mortality worldwide, especially in developed countries, with an increasing incidence in developing countries. Despite the advances in cardiology, there are yet many unanswered questions about the natural history of coronary atherosclerosis. However, it has not been fully explained why some coronary artery plaques remain quiescent over time, whereas others evolve to a high-risk, "vulnerable" plaque with a predisposition to destabilize and induce a cardiac event.

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