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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.


Observed abnormal stress MPI in predicted risk group.
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f2-tm-15-48: Observed abnormal stress MPI in predicted risk group.

Mentions: Table 1 shows the clinical and demographic variables of the patients included in the study. Of the 309 patients analyzed, 31 (10%) presented a low score risk, 90 (29%) had an intermediate score risk, and 188 (61%) showed a high score risk (Figure 1). Seven (23%) of the 31 patients in the low risk group had an abnormal stress SPET-MPI, 24 (27%) of the 90 patients in the intermediate risk group showed an abnormal stress SPET-MPI, and 124 (66%) of the 188 patients in the high risk group had an abnormal stress SPET-MPI (Figure 2).


Stress-first single photon emission computed myocardial perfusion imaging
Observed abnormal stress MPI in predicted risk group.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f2-tm-15-48: Observed abnormal stress MPI in predicted risk group.
Mentions: Table 1 shows the clinical and demographic variables of the patients included in the study. Of the 309 patients analyzed, 31 (10%) presented a low score risk, 90 (29%) had an intermediate score risk, and 188 (61%) showed a high score risk (Figure 1). Seven (23%) of the 31 patients in the low risk group had an abnormal stress SPET-MPI, 24 (27%) of the 90 patients in the intermediate risk group showed an abnormal stress SPET-MPI, and 124 (66%) of the 188 patients in the high risk group had an abnormal stress SPET-MPI (Figure 2).

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.