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Stress-first single photon emission computed myocardial perfusion imaging

View Article: PubMed Central - PubMed

ABSTRACT

Background: Myocardial perfusion imaging (MPI) with single photon emission tomography (SPET) is widely used in coronary artery disease evaluation. Recently major dosimetric concerns have arisen. The aim of this study was to evaluate if a pre-test scoring system could predict the results of stress SPET MPI, thus avoiding two radionuclide injections.

Methods: All consecutive patients (n=309) undergoing SPET MPI during the first 6 months of 2014 constituted the study group. The scoring system is based on these characteristics: age >65 years (1 point), diabetes (2 points), typical chest pain (2 points), congestive heart failure (3 points), abnormal ECG (4 points), male gender (4 points), and documented previous CAD (5 points). The patients were divided on the basis of the prediction score into 3 classes of risk for an abnormal stress-first protocol.

Results: An abnormal stress SPET MPI was present in 7/31 patients (23%) with a low risk score, in 24/90 (27%) with an intermediate score risk, and in 124/188 (66%) with an high score risk. ROC curve analysis showed good prediction of abnormal stress MPI.

Conclusions: Our results suggest an appropriate use of a pre-test clinical prediction formula of abnormal stress MPI in a routine clinical setting.

No MeSH data available.


ROC curve of the stress-first prediction score.
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f3-tm-15-48: ROC curve of the stress-first prediction score.

Mentions: ROC curve analysis showed good prediction of abnormal stress SPET- MPI (Figure 3) with an area under the ROC curve of 0.75. Using the optimal cutoff selected by the ROC curve analysis, sensitivity was 80% and specificity was 58%.


Stress-first single photon emission computed myocardial perfusion imaging
ROC curve of the stress-first prediction score.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5120750&req=5

f3-tm-15-48: ROC curve of the stress-first prediction score.
Mentions: ROC curve analysis showed good prediction of abnormal stress SPET- MPI (Figure 3) with an area under the ROC curve of 0.75. Using the optimal cutoff selected by the ROC curve analysis, sensitivity was 80% and specificity was 58%.

View Article: PubMed Central - PubMed

ABSTRACT

Background: Myocardial perfusion imaging (MPI) with single photon emission tomography (SPET) is widely used in coronary artery disease evaluation. Recently major dosimetric concerns have arisen. The aim of this study was to evaluate if a pre-test scoring system could predict the results of stress SPET MPI, thus avoiding two radionuclide injections.

Methods: All consecutive patients (n=309) undergoing SPET MPI during the first 6 months of 2014 constituted the study group. The scoring system is based on these characteristics: age >65 years (1 point), diabetes (2 points), typical chest pain (2 points), congestive heart failure (3 points), abnormal ECG (4 points), male gender (4 points), and documented previous CAD (5 points). The patients were divided on the basis of the prediction score into 3 classes of risk for an abnormal stress-first protocol.

Results: An abnormal stress SPET MPI was present in 7/31 patients (23%) with a low risk score, in 24/90 (27%) with an intermediate score risk, and in 124/188 (66%) with an high score risk. ROC curve analysis showed good prediction of abnormal stress MPI.

Conclusions: Our results suggest an appropriate use of a pre-test clinical prediction formula of abnormal stress MPI in a routine clinical setting.

No MeSH data available.