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SCMR Mid-Year Meeting: Myocardial Perfusion CMR
Implementing Quantitative Myocardial Blood Flow an ...
Implementing Quantitative Myocardial Blood Flow and Perfusion Reserve into your Stress CMR Exam
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Video Transcription
Video Summary
The session focused on how to make quantitative myocardial blood flow (MBF) and perfusion reserve reliable and clinically useful in stress CMR. Speakers emphasized that trustworthy numbers depend on careful quality control: checking respiratory motion correction, ECG triggering, arterial input function (AIF) quality, adequate contrast bolus capture, patient stress response, and correct segmentation, including RV attachment and sector orientation. Common problems included heavy breathing, PVCs, atrial fibrillation, adenosine heart block, poor coils/shimming, implantable devices, and misplacement of the AIF or segmentation errors. Poor function can cause slow bolus transit and noisy maps, though mean values may still be usable if the first pass is captured well.<br /><br />The discussion also showed how to interpret discordant visual and quantitative findings. Quantification can reveal diffuse ischemia, multivessel disease, or microvascular dysfunction when visual images look normal, but artifacts must be excluded first. The panel addressed practical issues such as injection rates, scanner speed, re-stressing patients when problems are correctable, and what clinical context should appear in reports.<br /><br />Case-based talks illustrated the value of stress CMR in INOCA, MINOCA, SCAD, lupus-related myocardial disease, and hypertrophic cardiomyopathy. Stress CMR helped identify microvascular dysfunction in women with angina and normal coronaries, detect small infarcts after SCAD, and characterize atypical or early HCM phenotypes. A recurring theme was that perfusion maps, when combined with source images and clinical context, can improve diagnosis, guide treatment, and uncover diseases missed by standard testing.
Keywords
stress CMR
myocardial blood flow
perfusion reserve
quantitative perfusion
quality control
respiratory motion correction
ECG triggering
arterial input function
contrast bolus
microvascular dysfunction
INOCA
MINOCA
SCAD
hypertrophic cardiomyopathy
diffuse ischemia
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