BACKGROUND: The incremental diagnostic value of dobutamine stress echocardiography (DSE) and 99mTc-labeled sestamibi single-photon emission computed tomography for the evaluation of the presence and extent of coronary artery disease (CAD) was assessed with ordered logistic regression and receiver-operating characteristic curves. METHODS AND RESULTS: Forty-five consecutive patients (33 men and 12 women; 53 +/- 6.8 years) underwent exercise electrocardiography and simultaneous DSE and sestamibi single-photon emission computed tomographic imaging. Coronary angiography was performed in all patients (significant coronary stenosis > 50%). On the basis of the results of exercise electrocardiography, the pretest probability for CAD (Diamond's algorithm) was low (45.6% +/- 12.7%). According to ordered logistic regression analysis, some models were estimated that performed a diagnostic accuracy level for CAD. In particular, we evaluated a clinical model (model 1) determined by the following parameters: sex, age, presence of chest pain, and positivity of electrocardiogram during dobutamine stress test. This model was 64.3% +/- 10.7% accurate for the prediction of CAD. The addition to model 1 of DSE parameters (wall motion stress and rest score index and relative difference) (model 2) yielded a diagnostic accuracy of 81.4% +/- 4.3% (p < 0.045), whereas the addition to model 1 of single-photon emission computed tomographic parameters (the difference between perfusional stress and rest score index) (model 3) improved diagnostic accuracy to 92.3% +/- 5.5% (p < 0.003), a level that appeared significantly higher than that of model 2 (p < 0.016). CONCLUSION: Both noninvasive methods for the detection of CAD showed a good diagnostic accuracy, especially when test-derived parameters were combined with clinical data. Nevertheless, the single-photon emission computed tomographic model showed a higher sensitivity compared with the DSE model.
BACKGROUND: The incremental diagnostic value of dobutamine stress echocardiography (DSE) and 99mTc-labeled sestamibi single-photon emission computed tomography for the evaluation of the presence and extent of coronary artery disease (CAD) was assessed with ordered logistic regression and receiver-operating characteristic curves. METHODS AND RESULTS: Forty-five consecutive patients (33 men and 12 women; 53 +/- 6.8 years) underwent exercise electrocardiography and simultaneous DSE and sestamibi single-photon emission computed tomographic imaging. Coronary angiography was performed in all patients (significant coronary stenosis > 50%). On the basis of the results of exercise electrocardiography, the pretest probability for CAD (Diamond's algorithm) was low (45.6% +/- 12.7%). According to ordered logistic regression analysis, some models were estimated that performed a diagnostic accuracy level for CAD. In particular, we evaluated a clinical model (model 1) determined by the following parameters: sex, age, presence of chest pain, and positivity of electrocardiogram during dobutamine stress test. This model was 64.3% +/- 10.7% accurate for the prediction of CAD. The addition to model 1 of DSE parameters (wall motion stress and rest score index and relative difference) (model 2) yielded a diagnostic accuracy of 81.4% +/- 4.3% (p < 0.045), whereas the addition to model 1 of single-photon emission computed tomographic parameters (the difference between perfusional stress and rest score index) (model 3) improved diagnostic accuracy to 92.3% +/- 5.5% (p < 0.003), a level that appeared significantly higher than that of model 2 (p < 0.016). CONCLUSION: Both noninvasive methods for the detection of CAD showed a good diagnostic accuracy, especially when test-derived parameters were combined with clinical data. Nevertheless, the single-photon emission computed tomographic model showed a higher sensitivity compared with the DSE model.
Authors: N B Schiller; P M Shah; M Crawford; A DeMaria; R Devereux; H Feigenbaum; H Gutgesell; N Reichek; D Sahn; I Schnittger Journal: J Am Soc Echocardiogr Date: 1989 Sep-Oct Impact factor: 5.251
Authors: G M Santoro; R Sciagrà; P Buonamici; N Consoli; V Mazzoni; F Zerauschek; G Bisi; P F Fazzini Journal: J Nucl Cardiol Date: 1998 Jan-Feb Impact factor: 5.952
Authors: V De Bello; C R Bellina; N Molea; L Talarico; G Boni; E Magagnini; F Matteucci; D Giorgi; E Lazzeri; A Bertini; M F Romano; R Bianchi; C Giusti Journal: Int J Card Imaging Date: 1996-09
Authors: Bradley A Bart; Ye-Ying Cen; Robert C Hendel; Ramond Lee; Thomas H Marwick; Emil D Missov; Fouad A Bachour; Charles A Herzog Journal: J Nucl Cardiol Date: 2009-03-24 Impact factor: 5.952
Authors: S R Underwood; C Anagnostopoulos; M Cerqueira; P J Ell; E J Flint; M Harbinson; A D Kelion; A Al-Mohammad; E M Prvulovich; L J Shaw; A C Tweddel Journal: Eur J Nucl Med Mol Imaging Date: 2004-02 Impact factor: 9.236