2019
DOI: 10.1002/jmri.26668
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Quantitative myocardial perfusion in coronary artery disease: A perfusion mapping study

Abstract: Background Cardiac MR stress perfusion remains a qualitative technique in clinical practice due to technical and postprocessing challenges. However, automated inline perfusion mapping now permits myocardial blood flow (MBF, ml/g/min) quantification on‐the‐fly without user input. Purpose To investigate the diagnostic performance of this novel technique in detecting occlusive coronary artery disease (CAD) in patients scheduled to undergo coronary angiography. Study Type Prospective, observational. Subjects Fifty… Show more

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Cited by 44 publications
(34 citation statements)
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“…Initial validation results (e.g. against PET and coronary angiography) are good (20,21) and inter-subject repeatability is similar to the published PET literature. (22,23).…”
Section: Introductionsupporting
confidence: 70%
“…Initial validation results (e.g. against PET and coronary angiography) are good (20,21) and inter-subject repeatability is similar to the published PET literature. (22,23).…”
Section: Introductionsupporting
confidence: 70%
“…This has led to myocardial perfusion examinations only being routinely performed in highly experienced centres. Quantitative perfusion analysis has been proposed as a more reproducible and user-independant alternative to the visual assessment and has been shown to have a good diagnostic accuracy and prognostic value (Hsu et al., 2018; Knott et al., 2019; Sammut et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in CMR perfusion mapping now permit high-resolution, pixel-wise myocardial blood flow (MBF) quantification automatically and inline at the scanner (figures 1 and 2) 15 using the Gadgetron software framework 16. In suspected ischaemic heart disease the technique has been validated using PET, angiography and invasive fractional flow reserve (FFR) 17–19. Perfusion mapping has also provided insights into the disease process in Fabry disease 20.…”
Section: Introductionmentioning
confidence: 99%