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Review
. 2004 Aug;90 Suppl 5(Suppl 5):v2-9.
doi: 10.1136/hrt.2003.013581.

Diagnosis of coronary artery disease by radionuclide myocardial perfusion imaging

C Y Loong  1 , C Anagnostopoulos
Affiliations
Review

Diagnosis of coronary artery disease by radionuclide myocardial perfusion imaging

C Y Loong et al. Heart. 2004 Aug.
No abstract available

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Figures

Figure 1
Figure 1
Sequential Bayesian analysis of CAD probability using MPI. The post-test likelihood of CAD (following MPI) can be estimated by sequential Bayesian analysis using the pre-test likelihood of disease. If MPI is positive, the post-test likelihood is calculated from the upper response line (purple), while if the test is negative, the lower response line (blue) is used. These curves are constructed for a diagnostic test (MPI) with a sensitivity of 90% and specificity of 80%. For example, in a patient with a 50% pre-test likelihood of CAD, a positive MPI scan increases the post-test likelihood of disease to 81.8% (red line), while a negative scan decreases the post-test likelihood of disease to 11.1%. The post-test probability difference for this patient is therefore 70.7%. In contrast, for a patient with a low pre-test likelihood of disease of 5%, a positive MPI scan increases the post-test likelihood of disease to only 19.2%, while a negative scan decreases the post-test likelihood to 0.6%. The post-test probability difference is therefore only 18.6%.
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