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References from Quantitative myocardial perfusion imaging with MRI and CT: clinical applications and future directions. Local targets link to admitted publications; unresolved targets remain external evidence.
2023 AHA/ACC/ACCP/ASPC/NLA/PCNA guideline for the management of patients with chronic coronary disease: a report of the American Heart Association/American College of Cardiology joint committee on clinical practice guidelines
10.1016/j.jacc.2023.04.003 · 2023 · External reference
Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia
10.1038/s41569-020-0341-8 · 2020 · External reference
Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging
10.1016/j.jocmr.2025.101940 · 2025 · External reference
Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II
10.1093/ehjci/jeab292 · 2022 · External reference
Regadenoson: a new myocardial stress agent
10.1016/j.jacc.2009.04.089 · 2009 · External reference
Stress perfusion cardiac magnetic resonance vs SPECT imaging for detection of coronary artery disease
10.1016/j.jacc.2023.08.046 · 2023 · External reference
Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial
10.1016/s0140-6736(11)61335-4 · 2012 · External reference
Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis
10.1161/circimaging.114.002666 · 2015 · External reference
2024 ESC guidelines for the management of chronic coronary syndromes
10.1093/eurheartj/ehae177 · 2024 · External reference
Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update: Society for Cardiovascular Magnetic Resonance (SCMR): board of trustees task force on standardized post-processing: Society for Cardiovascular Magnetic Resonance (SCMR): board of trustees task force on standardized post-processing
10.1186/s12968-020-00610-6 · 2020 · External reference
Myocardial perfusion reserve in cardiovascular magnetic resonance: correlation to coronary microvascular dysfunction
10.1080/10976640600737649 · 2006 · External reference
Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance
10.1161/01.cir.101.12.1379 · 2000 · External reference
Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease
10.1161/01.cir.0000080915.35024.a9 · 2003 · External reference
Diagnostic accuracy of stress perfusion CMR in comparison with quantitative coronary angiography: fully quantitative, semiquantitative, and qualitative assessment
10.1016/j.jcmg.2013.08.014 · 2014 · External reference
Quantitative magnetic resonance perfusion imaging detects anatomic and physiologic coronary artery disease as measured by coronary angiography and fractional flow reserve
10.1016/j.jacc.2007.04.053 · 2007 · External reference
High-resolution magnetic resonance myocardial perfusion imaging at 3.0-Tesla to detect hemodynamically significant coronary stenoses as determined by fractional flow reserve
10.1016/j.jacc.2010.09.019 · 2011 · External reference
Assessment of advanced coronary artery disease: advantages of quantitative cardiac magnetic resonance perfusion analysis
10.1016/j.jacc.2010.02.061 · 2010 · External reference
Development of a universal dual-bolus injection scheme for the quantitative assessment of myocardial perfusion cardiovascular magnetic resonance
10.1186/1532-429x-13-28 · 2011 · External reference
Myocardial blood flow by magnetic resonance in patients with suspected coronary stenosis: comparison to PET and invasive physiology
10.1161/circimaging.124.016635 · 2024 · External reference
Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification
10.1186/s12968-017-0355-5 · 2017 · External reference
Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography
10.1186/s12968-017-0388-9 · 2017 · External reference
Comparison of dual-bolus versus dual-sequence techniques for determining myocardial blood flow and myocardial perfusion reserve by cardiac magnetic resonance stress perfusion: from the automated quantitative analysis of myocardial perfusion cardiac magnetic resonance consortium
10.1016/j.jocmr.2024.101085 · 2024 · External reference
Optimization of dual-saturation single bolus acquisition for quantitative cardiac perfusion and myocardial blood flow maps
10.1186/s12968-015-0116-2 · 2015 · External reference
Validation of quantitative perfusion CMR employing deconvolution techniques with Tofts, modified-Tofts and fermi function models against 15O-water PET
10.1016/j.jocmr.2025.102678 · 2025 · External reference
Quantitative myocardial perfusion with dynamic contrast-enhanced imaging in MRI and CT: theoretical models and current implementation
10.1155/2016/1734190 · 2016 · External reference
Functional stress imaging to predict abnormal coronary fractional flow reserve: the PACIFIC 2 study
10.1093/eurheartj/ehac286 · 2022 · External reference
Quantitative myocardial perfusion imaging versus visual analysis in diagnosing myocardial ischemia: a CE-MARC substudy
10.1016/j.jcmg.2018.02.019 · 2018 · External reference
High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease
10.1093/ehjci/jeae084 · 2024 · External reference
Assessment of multivessel coronary artery disease using cardiovascular magnetic resonance pixelwise quantitative perfusion mapping
10.1016/j.jcmg.2020.06.041 · 2020 · External reference
Comparison of machine learning-based CT fractional flow reserve with cardiac MR perfusion mapping for ischemia diagnosis in stable coronary artery disease
10.1007/s00330-024-10650-6 · 2024 · External reference
Importance of operator training and rest perfusion on the diagnostic accuracy of stress perfusion cardiovascular magnetic resonance
10.1186/s12968-018-0493-4 · 2018 · External reference
Diagnostic performance of fully automated pixel-wise quantitative myocardial perfusion imaging by cardiovascular magnetic resonance
10.1016/j.jcmg.2018.01.005 · 2018 · External reference
Quantitative myocardial perfusion in coronary artery disease: a perfusion mapping study: perfusion mapping in CAD
10.1002/jmri.26668 · 2019 · External reference
Automated pixel-wise quantitative myocardial perfusion mapping by CMR to detect obstructive coronary artery disease and coronary microvascular dysfunction: validation against invasive coronary physiology
10.1016/j.jcmg.2018.12.022 · 2019 · External reference
Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease
10.1007/s00330-023-09689-8 · 2023 · External reference
Myocardial blood flow quantification using stress cardiac magnetic resonance improves detection of coronary artery disease
10.1016/j.jcmg.2024.07.023 · 2024 · External reference
Clinical implementation of a fully automated quantitative perfusion cardiovascular magnetic resonance imaging workflow with a simplified dual-bolus contrast administration scheme
10.1038/s41598-024-60503-x · 2024 · External reference
Assessment of ischaemic burden in angiographic three-vessel coronary artery disease with high-resolution myocardial perfusion cardiovascular magnetic resonance imaging
10.1093/ehjci/jet286 · 2014 · External reference
Cardiac magnetic resonance stress perfusion imaging for evaluation of patients with chest pain
10.1016/j.jacc.2019.07.074 · 2019 · External reference
Prognostic value of quantitative stress perfusion cardiac magnetic resonance
10.1016/j.jcmg.2017.07.022 · 2018 · External reference
The prognostic significance of quantitative myocardial perfusion: an artificial intelligence-based approach using perfusion mapping
10.1161/circulationaha.119.044666 · 2020 · External reference
Magnetic resonance perfusion or fractional flow reserve in coronary disease
10.1056/nejmoa1716734 · 2019 · External reference
Coronary microvascular dysfunction across the spectrum of cardiovascular diseases: JACC state-of-the-art review
10.1016/j.jacc.2021.07.042 · 2021 · External reference
High-resolution cardiac magnetic resonance imaging techniques for the identification of coronary microvascular dysfunction
10.1016/j.jcmg.2020.10.015 · 2021 · External reference
Long-term prognosis of patients with coronary microvascular disease using stress perfusion cardiac magnetic resonance
10.1016/j.jcmg.2020.09.034 · 2021 · External reference
Native T1 and ECV of noninfarcted myocardium and outcome in patients with coronary artery disease
10.1016/j.jacc.2017.12.020 · 2018 · External reference
Prognostic value of cardiovascular magnetic resonance T1 mapping and extracellular volume fraction in nonischemic dilated cardiomyopathy
10.1186/s12968-023-00919-y · 2023 · External reference
Myocardial blood flow response to pacing tachycardia and to dipyridamole infusion in patients with dilated cardiomyopathy without overt heart failure. A quantitative assessment by positron emission tomography: a quantitative assessment by positron emission tomography
10.1161/01.cir.92.4.796 · 1995 · External reference
Microvascular dysfunction in patients with idiopathic dilated cardiomyopathy: quantitative assessment with phase contrast cine MR imaging of the coronary sinus
10.2463/mrms.mp.2023-0018 · 2025 · External reference
Microstructural and microvascular phenotype of sarcomere mutation carriers and overt hypertrophic cardiomyopathy
10.1161/circulationaha.123.063835 · 2023 · External reference
Myocardial perfusion defects in hypertrophic cardiomyopathy mutation carriers
10.1161/jaha.120.020227 · 2021 · External reference
Microvascular dysfunction in dilated cardiomyopathy: a quantitative stress perfusion cardiovascular magnetic resonance study
10.1016/j.jcmg.2018.10.032 · 2019 · External reference
Impact of caffeine on adenosine-induced myocardial blood flow and the efficacy of increasing adenosine dose to overcome the antagonistic effect of caffeine in healthy adults
10.1093/ehjci/jeaf237 · 2025 · External reference
State-of-the-art-myocardial perfusion stress testing: static CT perfusion
10.1016/j.jcct.2019.09.002 · 2020 · External reference
Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study
10.1093/eurheartj/eht488 · 2014 · External reference
Computed tomographic evaluation of myocardial ischemia
10.1007/s11604-020-00922-8 · 2020 · External reference
Optimal scan time for single-phase myocardial computed tomography perfusion to detect myocardial ischemia - derivation cohort from dynamic myocardial computed tomography perfusion
10.1253/circj.cj-16-0834 · 2016 · External reference
Dynamic myocardial CT perfusion imaging-state of the art
10.1007/s00330-023-09550-y · 2023 · External reference
Dynamic CT-perfusion parameters as indicators of microcirculation: investigation in patients without obstructive coronary artery disease
10.1016/j.crad.2024.106766 · 2025 · External reference
Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions?
10.1093/ehjci/jet133 · 2014 · External reference
Associating electrocardiographic abnormalities with coronary artery disease: insights into microvascular dysfunction from dynamic CT perfusion
10.1007/s00330-025-11680-4 · 2025 · External reference
Myocardial coverage and radiation dose in dynamic myocardial perfusion imaging using third-generation dual-source CT
10.3348/kjr.2019.0323 · 2020 · External reference
Impact of the sampling rate of dynamic myocardial computed tomography perfusion on the quantitative assessment of myocardial blood flow
10.1016/j.clinimag.2019.03.016 · 2019 · External reference
Impact of computed tomography myocardial perfusion following computed tomography coronary angiography on downstream referral for invasive coronary angiography, revascularization and, outcome at 12 months
10.1093/ehjci/jex055 · 2017 · External reference
Incremental diagnostic value of stress computed tomography myocardial perfusion with whole-heart coverage CT scanner in intermediate- to high-risk symptomatic patients suspected of coronary artery disease
10.1016/j.jcmg.2017.10.025 · 2019 · External reference
Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging
10.1148/radiol.11110638 · 2011 · External reference
Dynamic iterative beam hardening correction (DIBHC) in myocardial perfusion imaging using contrast-enhanced computed tomography
10.1097/rli.0b013e3181e0300f · 2010 · External reference
Optimization of image sampling rate to lower the radiation dose of dynamic myocardial CT perfusion
10.1016/j.jcct.2021.04.001 · 2021 · External reference
Effect of sampling rate during dynamic myocardial CT perfusion on coronary flow reserve and ischemia analysis
10.1007/s10554-025-03361-6 · 2025 · External reference
Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction
10.1016/j.crad.2022.06.013 · 2022 · External reference
Dynamic stress computed tomography myocardial perfusion for detecting myocardial ischemia: a systematic review and meta-analysis
10.1016/j.ijcard.2018.01.095 · 2018 · External reference
State of the art of CT myocardial perfusion
10.1007/s11547-024-01942-4 · 2025 · External reference
CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR
10.1136/heartjnl-2013-303794 · 2013 · External reference
Myocardium: dynamic versus single-shot CT perfusion imaging
10.1148/radiology.13121441 · 2013 · External reference
Relative myocardial blood flow by dynamic computed tomographic perfusion imaging predicts hemodynamic significance of coronary stenosis better than absolute blood flow
10.1097/rli.0000000000000087 · 2014 · External reference
Dynamic computed tomography myocardial perfusion imaging: comparison of clinical analysis methods for the detection of vessel-specific ischemia
10.1161/circimaging.116.005505 · 2017 · External reference
Diagnostic accuracy of endocardial-to-epicardial myocardial blood flow ratio for the detection of significant coronary artery disease with dynamic myocardial perfusion dual-source computed tomography
10.1253/circj.cj-16-1319 · 2017 · External reference
Integrating CT myocardial perfusion and CT-FFR in the work-up of coronary artery disease
10.1016/j.jcmg.2016.09.028 · 2017 · External reference
Detection of hemodynamically significant coronary stenosis: CT myocardial perfusion versus machine learning CT fractional flow reserve
10.1148/radiol.2019190098 · 2019 · External reference
Dynamic stress computed tomography perfusion with a whole-heart coverage scanner in addition to coronary computed tomography angiography and fractional flow reserve computed tomography derived
10.1016/j.jcmg.2019.02.015 · 2019 · External reference
Incremental diagnostic value of whole-heart dynamic computed tomography perfusion imaging for detecting obstructive coronary artery disease
10.1016/j.jjcc.2018.12.006 · 2019 · External reference
Stress myocardial blood flow ratio by dynamic CT perfusion identifies hemodynamically significant CAD
10.1016/j.jcmg.2019.06.016 · 2020 · External reference
Diagnostic performance of dynamic myocardial perfusion imaging using dual-source computed tomography
10.1016/j.jacc.2021.08.067 · 2021 · External reference
Diagnostic performance of quantitative, semi-quantitative, and visual analysis of dynamic CT myocardial perfusion imaging: a validation study with invasive fractional flow reserve
10.1007/s00330-020-07145-5 · 2021 · External reference
Dynamic myocardial perfusion CT for the detection of hemodynamically significant coronary artery disease
10.1016/j.jcmg.2021.07.021 · 2022 · External reference
Knowledge of hyperemic myocardial blood flow in healthy subjects helps identify myocardial ischemia in patients with coronary artery disease
10.3389/fcvm.2022.817911 · 2022 · External reference
Diagnostic accuracy of dynamic stress myocardial CT perfusion compared with invasive physiology in patients with stents: the advantage 2 study
10.1148/radiol.232225 · 2024 · External reference
Relationship between microvascular status and diagnostic performance of stress dynamic CT perfusion imaging
10.1007/s00330-024-11136-1 · 2025 · External reference
Clinical validation of the accuracy of absolute myocardial blood flow quantification with dual-source CT using 15O-water PET
10.1148/ryct.2021210060 · 2021 · External reference
Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: prognostic value
10.1016/j.jcct.2016.12.003 · 2017 · External reference
Prognostic significance of stress dynamic myocardial CT perfusion: comparison with CT-FFR and CT angiography stenosis-the multicenter VALIDITY trial
10.1007/s00330-024-11187-4 · 2025 · External reference
Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease
10.1016/j.jcct.2019.02.005 · 2019 · External reference
Incremental prognostic value of myocardial blood flow quantified with stress dynamic computed tomography perfusion imaging
10.1016/j.jcmg.2018.05.021 · 2019 · External reference
Prognostic value of stress dynamic computed tomography perfusion with computed tomography delayed enhancement
10.1016/j.jcmg.2019.12.017 · 2020 · External reference
Longer diabetes duration reduces myocardial blood flow in remote myocardium assessed by dynamic myocardial CT perfusion
10.1016/j.jdiacomp.2018.03.003 · 2018 · External reference
Integrating myocardial CT perfusion with coronary CT angiography improves risk stratification in patients with dialysis-dependent end-stage renal disease
10.1007/s11604-024-01690-5 · 2025 · External reference
Test-retest reproducibility of absolute myocardial blood flow obtained using stress dynamic CT myocardial perfusion imaging
10.1016/j.ijcha.2024.101510 · 2024 · External reference
CT coronary angiography and dynamic CT myocardial perfusion for detection of cardiac allograft vasculopathy
10.1016/j.jcmg.2022.12.031 · 2023 · External reference
Feasibility of computed tomography perfusion for detection of cardiac allograft rejection following heart transplantation
10.1016/j.jcmg.2020.01.004 · 2020 · External reference
Emerging applications for ferumoxytol as a contrast agent in MRI: emerging applications of ferumoxytol
10.1002/jmri.24691 · 2015 · External reference
Artefact-free late gadolinium enhancement imaging in patients with implanted cardiac devices using a modified broadband sequence: current strategies and results from a real-world patient cohort
10.1093/europace/eux016 · 2018 · External reference
Underestimation of myocardial blood flow by dynamic perfusion CT: explanations by two-compartment model analysis and limited temporal sampling of dynamic CT
10.1016/j.jcct.2016.01.008 · 2016 · External reference
Simultaneous (13)N-Ammonia and gadolinium first-pass myocardial perfusion with quantitative hybrid PET-MR imaging: a phantom and clinical feasibility study
10.1186/s41824-019-0062-6 · 2019 · External reference
Automated inline analysis of myocardial perfusion MRI with deep learning
10.1148/ryai.2020200009 · 2020 · External reference
A survey on deep learning in medical image analysis
10.1016/j.media.2017.07.005 · 2017 · External reference
AI cardiac MRI scar analysis aids prediction of major arrhythmic events in the multicenter DERIVATE registry
10.1148/radiol.222239 · 2023 · External reference
Development of a deep learning algorithm for detecting significant coronary artery stenosis in whole-heart coronary magnetic resonance angiography
10.1016/j.jocmr.2025.101932 · 2025 · External reference
Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset
10.3389/fcvm.2023.1141026 · 2023 · External reference
Differentiating macrovascular and microvascular ischemia using fractal analysis of dynamic myocardial perfusion stress-CT
10.1097/rli.0000000000001027 · 2024 · External reference
Deep learning-based image registration in dynamic myocardial perfusion CT imaging
10.1109/tmi.2022.3214380 · 2023 · External reference
DnCNN-based denoising model for low-dose myocardial CT perfusion imaging
10.3390/electronics15010124 · 2025 · External reference
Automated identification of myocardial perfusion defects in dynamic cardiac computed tomography using deep learning
10.1016/j.ejmp.2023.102555 · 2023 · External reference
Deep learning-based quantitative CT myocardial perfusion imaging and risk stratification of coronary artery disease
10.1148/radiol.242570 · 2025 · External reference
A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFRCT in the work-up of stable coronary artery disease
10.1007/s00330-023-10562-x · 2024 · External reference