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Comparison of modalities to diagnose coronary artery disease

R E Patterson1, S F Horowitz, R L Eisner

  • 1Department of Medicine, Carlyle Fraser Heart Center, Emory: Crawford Long Hospital, Atlanta, GA 30365.

Insights

This review compares diagnostic tests for coronary artery disease (CAD). Positron emission tomography myocardial perfusion imaging (PET MPI) is the top noninvasive choice, while contrast coronary angiography is the gold standard.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Testing

Background:

  • Coronary artery disease (CAD) diagnosis relies on various imaging and clinical assessment modalities.
  • Selecting the optimal diagnostic test is crucial for effective patient management.

Purpose of the Study:

  • To compare available diagnostic modalities for coronary artery disease (CAD).
  • To evaluate each modality's unique clinical information, observer error, sensitivity, specificity, patient selection criteria, incremental benefit, and role in diagnostic algorithms.

Main Methods:

  • Comparative review of clinical history, ECG, LV function assessment (radionuclide, echocardiography), myocardial perfusion imaging (SPECT, PET), contrast coronary angiography, MRI, MRA, and UFCT.
  • Analysis based on six key questions regarding diagnostic utility and clinical application.

Main Results:

  • Positron emission tomography myocardial perfusion imaging (PET MPI) identified as the best noninvasive test for CAD.
  • SPECT thallium-201 and dobutamine echocardiography are strong noninvasive alternatives.
  • Contrast coronary angiography remains the gold standard; exercise ECG is the least accurate.
  • Emerging modalities like MRA and UFCT show promise for arterial visualization.

Conclusions:

  • Optimal test selection for CAD depends heavily on patient-specific factors, including clinical history, age, gender, and risk factors to determine pretest probability.
  • PET MPI offers superior noninvasive assessment, followed by SPECT and echocardiography.
  • Future roles for MRA and UFCT are anticipated in noninvasive CAD detection.

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