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http://elea.unisa.it/xmlui/handle/10556/4477
Titolo: | Stress-first single photon emission computed myocardial perfusion imaging |
Autore: | Aquino, Carmen Imma Scarano, Mariella Squame, Fiorenzo Casaburi, Giorgio Nori, Stefania Lucia Pace, Leonardo |
Parole chiave: | Myocardial perfusion imaging;Coronary artery disease;Radiation dose;Stress-first |
Data: | 2016 |
Citazione: | Aquino C, Scarano M, Squame F, Casaburi G, Nori S L, Pace L. Stress-first single photon emission computed myocardial perfusion imaging. Translational Medicine @ UniSa 2016, 15(7): 48-52. |
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. |
URI: | http://www.translationalmedicine.unisa.it/index http://elea.unisa.it:8080/xmlui/handle/10556/4477 http://dx.doi.org/10.14273/unisa-2675 |
ISSN: | 2239-9747 |
È visualizzato nelle collezioni: | Translational Medicine @ UniSa. Volume 15 (may. - aug. 2016) |
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