Publications by authors named "J H Reiber"

Traditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility.  Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities.

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The introduction of wire-free microcirculatory resistance index from functional angiography (angio-IMR) promises swift detection of coronary microvascular dysfunction, however it has not been properly validated. We sought to validate angio-IMR against invasive IMR and PET derived microvascular resistance (MVR). Moreover, we studied if angio-IMR could aid in the detection of ischemia with non-obstructive coronary arteries (INOCA).

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Article Synopsis
  • Coronary computed tomography angiography (CCTA) was evaluated as an alternative to intravascular imaging techniques for assessing plaque pathology in patients with chronic coronary syndrome.
  • The study involved 70 patients and compared CCTA with near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS) to analyze atheroma burden and composition, focusing on the accuracy of detecting lipid-rich plaques.
  • Results showed that CCTA had limitations in accurately measuring plaque dimensions and composition, leading to potential issues in planning for coronary interventions.
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Background: The applicability of quantitative flow ratio (QFR), a nonhyperemic, invasive coronary angiography-derived computation of fractional flow reserve (FFR), has not been studied in coronary artery bypass grafts. We sought to explore the correlation and diagnostic agreement between QFR and FFR in saphenous vein grafts (SVGs).

Methods And Results: A total of 129 prospectively included patients (mean age 73±8 years, 84% male) with prior coronary artery bypass grafting underwent invasive coronary angiography and pressure-derived functional assessment in 150 nonoccluded SVGs.

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Article Synopsis
  • This study investigates how to predict suboptimal quantitative flow ratios (QFR) after successful PCI, as current models are lacking in this area.
  • The researchers created a nomogram using data from 450 vessels to evaluate the prediction based on five key variables, including a new metric called QFR-PPG.
  • Results showed strong predictive performance with high accuracy in different validation tests, highlighting the nomogram's potential to aid clinicians in making informed decisions post-PCI.
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