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Non-invasive Ischaemia Testing in Patients With Prior Coronary Artery Bypass Graft Surgery: Technical Challenges, Limitations, and Future Directions

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fcvm.2021.795195

关键词

CABG; ischaemia detection; surgical revascularisation; stress imaging; myocardial perfusion

资金

  1. British Heart Foundation [FS/18/83/34025]
  2. NIHR Biomedical Research Centers at University College London Hospitals
  3. Barts Health NHS Trusts
  4. Biomedical Research Center at Barts - National Institute for Health Research

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Performing and interpreting non-invasive ischaemia testing in patients post CABG is challenging due to multiple factors, including advanced multi-vessel native vessel disease, variability in coronary hemodynamics post-surgery, differences in graft lengths and vasomotor properties, and complex myocardial scar morphology. Systematic assessment of these challenges in relation to each imaging modality may optimize diagnostic test selection by incorporating clinical information and individual patient characteristics. Recent technological advances in cardiac imaging offer the opportunity to re-evaluate the value of ischaemia testing and provide new insights into the pathophysiological processes that determine outcomes in this patient population.
Coronary artery bypass graft (CABG) surgery effectively relieves symptoms and improves outcomes. However, patients undergoing CABG surgery typically have advanced coronary atherosclerotic disease and remain at high risk for symptom recurrence and adverse events. Functional non-invasive testing for ischaemia is commonly used as a gatekeeper for invasive coronary and graft angiography, and for guiding subsequent revascularisation decisions. However, performing and interpreting non-invasive ischaemia testing in patients post CABG is challenging, irrespective of the imaging modality used. Multiple factors including advanced multi-vessel native vessel disease, variability in coronary hemodynamics post-surgery, differences in graft lengths and vasomotor properties, and complex myocardial scar morphology are only some of the pathophysiological mechanisms that complicate ischaemia evaluation in this patient population. Systematic assessment of the impact of these challenges in relation to each imaging modality may help optimize diagnostic test selection by incorporating clinical information and individual patient characteristics. At the same time, recent technological advances in cardiac imaging including improvements in image quality, wider availability of quantitative techniques for measuring myocardial blood flow and the introduction of artificial intelligence-based approaches for image analysis offer the opportunity to re-evaluate the value of ischaemia testing, providing new insights into the pathophysiological processes that determine outcomes in this patient population.

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