Advances in Myocardial Perfusion MR Imaging: Physiological Implications, the Importance of Quantitative Analysis, and Impact on Patient Care in Coronary Artery Disease

Association of Epicardial Adipose Tissue With Left Ventricular Strain and MR Myocardial Perfusion in Patients With Known Coronary Artery Disease

BACKGROUND

Epicardial adipose tissue (EAT) may have a paracrine effect on coronary microcirculation and myocardium. However, it is unclear whether EAT is linked to cardiac function and perfusion.

PURPOSE

To investigate the association of EAT with left ventricular (LV) strain and myocardial perfusion in patients with coronary artery disease (CAD).

STUDY TYPE

Retrospective.

POPULATION

A total of 78 patients with CAD and 20 healthy controls. The patients were further divided into high (n = 39) and low EAT volume (n = 39) groups according to median EAT volume.

FIELD STRENGTH/SEQUENCE

A 1.5 T, balanced steady-state free precession, inversion recovery prepared echo-planar, and segmented-turbo fast low-angle shot (FLASH) phase-sensitive inversion recovery (PSIR) sequences.

ASSESSMENT

EAT volume was measured by manually tracing the epicardial border and the visceral layer of pericardium on the short-axis cine stacks. LV strain parameters included global radial (GRS), circumferential (GCS), and longitudinal peak strain (GLS). Perfusion indices included upslope, perfusion index, time-to-maximum signal intensity (TTM), and maximum signal intensity (MaxSI).

STATISTICAL TESTS

One-way analysis of variance or Kruskal-Wallis rank tests, Chi-squared or Fisher exact tests. Multivariate linear regression analyses. A P value < 0.05 was considered statistically significant.

RESULTS

The parameters of GRS GCS, GLS, upslope, perfusion index, and MaxSI were significantly lower in the patients when compared to the controls. Moreover, the high EAT volume group presented significantly longer TTM values and lower GRS, GCS, GLS, upslope, perfusion index, and MaxSI than the low EAT volume group. Multivariate linear regression analyses demonstrated that EAT was independently associated with GRS, GCS, GLS, upslope, perfusion index, TTM, and MaxSI in patients. EAT and upslope were independently associated with GRS, while EAT and perfusion index were both independently associated with GCS and GLS.

DATA CONCLUSION

EAT was associated with parameters of LV function and perfusion, and myocardial perfusion was independently associated with LV strain in patients with CAD.

EVIDENCE LEVEL

3.

TECHNICAL EFFICACY

Stage 3.

Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease

OBJECTIVES

We applied a fully automated pixel-wise post-processing framework to evaluate fully quantitative cardiovascular magnetic resonance myocardial perfusion imaging (CMR-MPI). In addition, we aimed to evaluate the additive value of coronary magnetic resonance angiography (CMRA) to the diagnostic performance of fully automated pixel-wise quantitative CMR-MPI for detecting hemodynamically significant coronary artery disease (CAD).

METHODS

A total of 109 patients with suspected CAD were prospectively enrolled and underwent stress and rest CMR-MPI, CMRA, invasive coronary angiography (ICA), and fractional flow reserve (FFR). CMRA was acquired between stress and rest CMR-MPI acquisition, without any additional contrast agent. Finally, CMR-MPI quantification was analyzed by a fully automated pixel-wise post-processing framework.

RESULTS

Of the 109 patients, 42 patients had hemodynamically significant CAD (FFR ≤ 0.80 or luminal stenosis ≥ 90% on ICA) and 67 patients had hemodynamically non-significant CAD (FFR ˃ 0.80 or luminal stenosis < 30% on ICA) were enrolled. On the per-territory analysis, patients with hemodynamically significant CAD had higher myocardial blood flow (MBF) at rest, lower MBF under stress, and lower myocardial perfusion reserve (MPR) than patients with hemodynamically non-significant CAD (p < 0.001). The area under the receiver operating characteristic curve of MPR (0.93) was significantly larger than those of stress and rest MBF, visual assessment of CMR-MPI, and CMRA (p < 0.05), but similar to that of the integration of CMR-MPI with CMRA (0.90).

CONCLUSIONS

Fully automated pixel-wise quantitative CMR-MPI can accurately detect hemodynamically significant CAD, but the integration of CMRA obtained between stress and rest CMR-MPI acquisition did not provide significantly additive value.

KEY POINTS

• Full quantification of stress and rest cardiovascular magnetic resonance myocardial perfusion imaging can be postprocessed fully automatically, generating pixel-wise myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) maps. • Fully quantitative MPR provided higher diagnostic performance for detecting hemodynamically significant coronary artery disease, compared with stress and rest MBF, qualitative assessment, and coronary magnetic resonance angiography (CMRA). • The integration of CMRA and MPR did not significantly improve the diagnostic performance of MPR alone.

Research Progress of Imaging Methods for Detection of Microvascular Angina Pectoris in Diabetic Patients

Diabetes is a complex metabolic disease characterized by hyperglycemia. Its complications are various, often involving the heart, brain, kidney, and other essential organs. At present, the number of diabetic patients in the world is growing day by day. The cardiovascular disease caused by diabetes has dramatically affected the quality of life of diabetic patients. It is the leading cause of death of diabetic patients. Diabetic patients often suffer from microvascular angina pectoris without obstructive coronary artery disease. Still, there are typical ECG ischemia and angina pectoris, that is, chest pain and dyspnea under exercise. Unlike obstructive coronary diseases, nitrate does not affect chest pain caused by coronary microvascular angina in most cases. With the increasing emphasis on diabetic microvascular angina, the need for accurate diagnosis of the disease is also increasing. We can use SPECT, PET, CMR, MCE, and other methods to evaluate coronary microvascular function. SPECT is commonly used in clinical practice, and PET is considered the gold standard for non-invasive detection of myocardial blood flow. This article mainly introduces the research progress of these imaging methods in detecting microvascular angina in diabetic patients.