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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Stress/rest myocardial perfusion scintigraphy in patients without significant coronary artery disease
Umar Adamu1, Daniela Knollmann, Bader Almutairi
1Medical Clinic I, University RWTH Aachen, Pauwelsstrasse 30, 52057, Aachen, Germany.
Insights
Stress myocardial perfusion scintigraphy (MPS) effectively predicts long-term outcomes in patients without significant coronary artery disease. Quantitative analysis of MPS results identifies individuals at higher risk for future clinical events or symptoms.
Area of Science:
- Cardiology
- Nuclear Medicine
- Diagnostic Imaging
Background:
- Coronary artery disease (CAD) diagnosis typically relies on coronary angiography.
- Myocardial perfusion scintigraphy (MPS) is a non-invasive imaging technique used to assess blood flow to the heart muscle.
- The prognostic value of MPS in patients with angiographically excluded significant CAD requires further definition.
Purpose of the Study:
- To determine the prognostic significance of stress myocardial perfusion scintigraphy (MPS) in patients with no significant coronary artery disease (CAD) on angiography.
- To evaluate if quantitative analysis of MPS can identify patients at risk for adverse clinical outcomes.
Main Methods:
- A cohort of 118 patients with diameter stenosis <50% on quantitative angiography and recent stress MPS was identified.
- Patients were followed for a mean of 6.3 years for death, major adverse events (MAE), or significant symptoms.
- Quantitative perfusion SPECT (QPS) was used to analyze stress and rest MPS (99mTc-MIBI or tetrofosmin) for summed stress and rest scores (SSS/SRS).
Main Results:
- Significant differences in summed stress scores (SSS) were observed between patients who experienced death, MAE, or significant symptoms versus those who did not.
- Logistic regression analysis confirmed SSS as a significant predictor of both death (OR=1.074) and MAE (OR=1.087).
- A higher SSS was associated with an increased likelihood of adverse outcomes and clinical symptoms.
Conclusions:
- Stress MPS results are a valuable predictor of long-term prognosis in patients without significant angiographic coronary artery disease.
- Quantitative analysis of MPS, specifically SSS, aids in identifying patients with a higher risk of developing future clinical events or symptoms.
- Stress MPS provides prognostic information beyond traditional coronary angiography in select patient populations.
Aim:
To define the prognostic impact of stress myocardial perfusion scintigraphy (MPS) in patients with angiographic exclusion of significant coronary artery disease.
Methods:
Angiographic and MPS databases were matched to define patients without significant coronary artery disease by quantitative angiography (diameter stenosis <50%) who underwent stress MPS and coronary angiography within a time period of 3 months. A total of 118 patients were identified and followed for a mean of 6.3 +/- 1.2 years for death, a composite of death, myocardial infarction, bypass surgery, or percutaneous coronary intervention [MAE]) as well as occurrence of symptoms (angina or dyspnoe class CCS II to IV). Stress and rest MPS (using (99m)Tc-MIBI or tetrofosmin) were analyzed by quantitative perfusion SPECT (QPS) for summed stress and rest scores (SSS/SRS).
Results:
There were 16 deaths, 29 MAE, and 76 patients with MAE or significant symptoms during follow-up. Significant differences in SSS were found between patients who died (9.5 +/- 6.9 vs. 5.4 +/- 5.6, P = 0.012), had MAE (8.7 +/- 7.2 vs. 5.2 +/- 5.0, P = 0.010), or had MAE or significant clinical symptoms (7.2 +/- 7.1 vs. 4.6 +/- 6.2, P = 0.042) compared to those without the respective event. Logistic regression analysis demonstrated SSS to be a predictor of death (OR = 1.074 [95% CI: 1.004-1.149], P = 0.026) and MAE (OR = 1.087 [95% CI: 1.004-1.181], P = 0.027).
Conclusions:
In patients without significant angiographic coronary artery disease, the result of stress MPS is a predictor of long-term prognosis. Quantitative analysis of MPS allows definition of patients with a higher likelihood to develop clinical events or symptoms.
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