Implications of probability analysis on the strategy used for noninvasive detection of coronary artery disease
The implications of a pretest analysis of disease probability to noninvasive screening studies involving electrocardiographic exercise testing, radionuclide cineangiography and thallium perfusion scanning for the detection of coronary artery disease are reviewed. The consequences of Bayes' theorem, which states that a less than perfect test cannot be adequately interpreted without reference to the prevalence of the disease in the population under study, for exercise testing of symptomatic and asymptomatic patients are examined. Means for the determination of pretest probabilities of coronary artery disease in individual subjects, the likelihood of noninvasive screening studies resulting in useful information and the advisability of combinations of noninvasive studies to define more accurately the likelihood of coronary artery disease are then presented.
- Research Organization:
- National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, MD
- OSTI ID:
- 5680474
- Journal Information:
- Am. J. Cardiol.; (United States), Journal Name: Am. J. Cardiol.; (United States) Vol. 46; ISSN AJCDA
- Country of Publication:
- United States
- Language:
- English
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62 RADIOLOGY AND NUCLEAR MEDICINE
AGE DEPENDENCE
APPROPRIATE TECHNOLOGY
ARTERIES
BIOMEDICAL RADIOGRAPHY
BLOOD PRESSURE
BLOOD VESSELS
BODY
CARDIOVASCULAR DISEASES
CARDIOVASCULAR SYSTEM
CHOLESTEROL
DIAGNOSIS
DIAGNOSTIC TECHNIQUES
DIAGRAMS
DISEASES
EFFICIENCY
ELECTROCARDIOGRAMS
ELEMENTS
EXERCISE
HYDROXY COMPOUNDS
ISOTOPES
MATHEMATICAL MODELS
MEDICINE
METALS
NUCLEAR MEDICINE
ORGANIC COMPOUNDS
ORGANS
POPULATIONS
PROBABILITY
RADIOISOTOPES
RADIOLOGY
STATISTICAL MODELS
STEROIDS
STEROLS
TESTING
THALLIUM