Assessing PET MPI for Microvascular Disease
The most effective way to assess microvascular disease using PET MPI is to calculate the myocardial blood flow reserve (MBFR or MFR), with values <1.9-2.0 indicating microvascular dysfunction, even in the absence of visible perfusion defects. 1
Key Parameters to Evaluate
- Absolute Myocardial Blood Flow (MBF): Quantify both rest and stress (hyperemic) absolute myocardial blood flow values 2
- Myocardial Flow Reserve (MFR): Calculate the ratio of stress to rest absolute myocardial blood flow; normal MFR is ≥2.0, while values <2.0 suggest impaired coronary flow reserve 1, 2
- Regional Distribution: Assess for uniform reduction in MFR across multiple coronary territories, which is characteristic of microvascular disease rather than focal epicardial stenosis 1, 2
- LVEF Reserve: Evaluate the change in left ventricular ejection fraction from rest to stress, as abnormal LVEF reserve provides incremental value in predicting microvascular dysfunction 1
Advantages of PET for Microvascular Assessment
- PET offers superior spatial resolution compared to SPECT, improving diagnostic accuracy particularly in women and obese patients 1
- PET uniquely allows calculation of absolute blood flow across coronary vessels, which is essential for detecting microvascular dysfunction 1
- The overall improvement in diagnostic accuracy is approximately 20% for PET compared to SPECT MPI (88% versus 67%, p=0.009) 1
- PET can detect microvascular dysfunction even when perfusion images appear normal or show only low-risk findings 1, 3
Interpretation Guidelines
- Normal MFR (≥2.0): Indicates normal coronary vasodilatory capacity 2
- Mildly Reduced MFR (1.8-2.0): Suggests early microvascular dysfunction requiring optimization of medical therapy 2
- Moderately to Severely Reduced MFR (<1.8): Indicates significant microvascular dysfunction 2, 3
- Pattern Recognition: Diffuse reduction in MFR across multiple territories suggests microvascular disease, while territory-specific reductions may indicate epicardial disease 2, 3
Clinical Correlation
- Correlate MFR findings with patient symptoms, particularly in women who have higher prevalence of non-obstructive CAD and microvascular dysfunction 1
- Consider the presence of risk factors for microvascular disease (diabetes, hypertension, smoking) when interpreting borderline MFR values 2
- Evaluate for discordance between perfusion images and MFR values - normal perfusion with reduced MFR is a hallmark of isolated microvascular dysfunction 2, 3
Technical Considerations
- Rb-82 and N-13 ammonia are the most commonly used radioisotopes for PET MPI 1, 4
- Ensure adequate vasodilator stress response by assessing splenic switch-off (reduced splenic uptake during stress compared to rest) 5
- Consider hybrid PET/CT to evaluate both functional and anatomical aspects of coronary circulation 1
Pitfalls to Avoid
- Do not rely solely on visual assessment of perfusion defects, as microvascular disease may not produce visible perfusion abnormalities 1, 2
- Avoid misinterpreting globally reduced MFR as technical error; this may represent diffuse microvascular disease or balanced multi-vessel epicardial disease 1, 2
- Ensure adequate pharmacologic stress, as inadequate vasodilation can falsely reduce MFR values 5
- Don't overlook the prognostic value of reduced MFR, as it independently predicts adverse cardiovascular events even in patients with normal perfusion images 2, 3
By systematically evaluating these parameters, clinicians can effectively use PET MPI to detect and characterize microvascular disease, enabling appropriate management strategies for this often overlooked condition.