Diagnostic accuracy of myocardial perfusion imaging in a study population without post-test referral bias

J Nucl Cardiol. 2005 Sep-Oct;12(5):530-7. doi: 10.1016/j.nuclcard.2005.04.012.

Abstract

Background: Most previous studies on the accuracy of myocardial perfusion imaging (MPI) are hampered by post-test referral bias, in that referral for coronary angiography was influenced by the MPI result. In this way, patients with a normal MPI result less frequently underwent catheterization, a tendency supposed to cause an underestimation of test specificity and an overestimation of test sensitivity.

Methods and results: MPI by use of a gated dual-isotope protocol was undertaken before angiography in 357 patients referred for angiography for suspected stable angina pectoris. The MPI reports were kept secret to prevent post-test referral bias. The MPI study was normal in 215 patients (60%) and showed reversible perfusion abnormalities in 118 (33%) and fixed defects in 24 (7%). Angiography was normal in 231 patients (65%) and revealed 1 or more significant stenoses in 126 (35%). With angiography as the reference, the sensitivity and specificity of MPI for detecting significant coronary artery stenosis were 75% and 79%, respectively.

Conclusions: In this prospective study without post-test referral bias, we found a lower sensitivity and slightly higher specificity than in studies with post-test referral bias. The imperfect accuracy may reflect differences between anatomic and physiologic imaging.

Publication types

  • Controlled Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bias
  • Comorbidity
  • Coronary Angiography / statistics & numerical data*
  • Coronary Artery Disease / diagnosis*
  • Coronary Artery Disease / epidemiology*
  • Denmark / epidemiology
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Myocardial Ischemia / diagnosis*
  • Myocardial Ischemia / epidemiology*
  • Prognosis
  • Referral and Consultation / statistics & numerical data*
  • Reproducibility of Results
  • Risk Assessment / methods
  • Risk Factors
  • Sensitivity and Specificity
  • Tomography, Emission-Computed, Single-Photon / statistics & numerical data*