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Published on: April 13, 2015
Correlation between severity of coronary artery stenosis and perfusion defect assessed by SPECT myocardial perfusion
M M Zaman1, S S Haque, M A Siddique
1Department of Cardiology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbagh, Dhaka, Bangladesh.
Insights
Technetium-99m (Tc-99m) tetrofosmin Single Photon Emission Computed Tomography myocardial perfusion imaging (SPECT-MPI) effectively assesses coronary artery stenosis severity. This non-invasive method shows high accuracy comparable to coronary angiography for diagnosing coronary artery disease (CAD).
Area of Science:
- Cardiology
- Nuclear Medicine
- Diagnostic Imaging
Background:
- Coronary artery disease (CAD) severity assessment relies on various non-invasive techniques.
- Coronary angiography (CAG) is the gold standard for diagnosing and quantifying coronary artery stenosis.
- Single Photon Emission Computed Tomography-myocardial perfusion imaging (SPECT-MPI) using Technetium-99m (Tc-99m) tetrofosmin is an established non-invasive tool for CAD assessment.
Purpose of the Study:
- To evaluate the effectiveness of Tc-99m SPECT-MPI in assessing coronary artery stenosis severity.
- To compare the diagnostic performance of Tc-99m SPECT-MPI against coronary angiography (CAG).
Main Methods:
- A prospective observational study involving 82 consecutive patients with suspected CAD.
- Tc-99m SPECT-MPI performed using a one-day exercise stress and rest protocol.
- Comparison of SPECT-MPI findings with results from coronary angiography (CAG).
Main Results:
- SPECT-MPI demonstrated a sensitivity of 87.09% and specificity of 80.95% in detecting coronary artery stenosis.
- The positive predictive value, negative predictive value, and accuracy were 91.01%, 73.91%, and 85.18%, respectively.
- A high concordance was observed between SPECT-MPI and CAG in assessing the severity of coronary artery lesions.
Conclusions:
- Tc-99m SPECT-MPI is a safe, effective, and accurate non-invasive tool for detecting coronary artery stenosis severity.
- SPECT-MPI can reliably predict the severity of coronary artery disease (CAD), offering a valuable alternative to invasive procedures.
Abstract:
Numerous non-invasive techniques are developed to assess the severity of coronary artery disease (CAD). Coronary angiography (CAG) is an established method for the diagnosis and to quantify the severity of coronary artery stenosis. Single photon emission computed tomography-myocardial perfusion imaging (SPECT-MPI) using Technetium-99m (Tc-99m) tetrofosmin is also a useful established technique for the assessment of severity of CAD. This prospective observational study was carried out in Bangabandhu Sheikh Mujib Medical University (BSMMU) to assess the severity of coronary artery stenosis using Tc-99m Single Photon Emission Computed Tomography myocardial perfusion imaging (SPECT-MPI) in comparison with CAG. Eighty two (82) consecutive patients with mean age 53.51(SD+/-7.08) years and Candian Cardiovascular Society (CCS) class I and II severity of chest pain, male: female ratio (4.8:1) was studied. Tc-99m SPECT-MPI was performed by one-day exercise stress and rest protocol. A total of two hundred and forty six coronary artery territories examined in this study. By CAG normal coronary arteries were found in seventy six, moderate stenosis in twenty four and severe stenosis in one hundred and forty-six coronary artery territories whereas SPECT-MPI found normal perfusion in twenty seven, mild perfusion abnormality in seventeen, moderate perfusion abnormality in thirty two and severe perfusion abnormality in one hundred and sixty five coronary artery territories. Sensitivity and specificity of SPECT-MPI using Tc-99m tetrofosmin in detecting coronary artery stenosis were 87.09% and 80.95% respectively. The positive predictive value, negative predictive value and accuracy of the test were 91.01%, 73.91% and 85.18% respectively. From this study it can be concluded that Tc-99m SPECT-MPI was a safe, effective and excellent non-invasive tool for the detection of severity of coronary artery lesion and can be used to predict severity of CAD.
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