Increased accuracy of single photon emission computed tomography (SPECT) myocardial perfusion scintigraphy using iterative reconstruction of images

Filtered back projection (FBP) is a common way of processing myocardial perfusion imaging (MPI)studies. There are artifacts in FBP which can cause false-positive results. Iterative reconstruction (IR) is developed to reduce false positive findings in MPI studies. The aim of this study was to evaluat...

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Veröffentlicht in:Vojnosanitetski pregled 2016-05, Vol.73 (5), p.469-471
Hauptverfasser: Stevic, Milos, Vlajkovic, Marina
Format: Artikel
Sprache:eng
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Zusammenfassung:Filtered back projection (FBP) is a common way of processing myocardial perfusion imaging (MPI)studies. There are artifacts in FBP which can cause false-positive results. Iterative reconstruction (IR) is developed to reduce false positive findings in MPI studies. The aim of this study was to evaluate the difference in the number of false-positive findings in MPI studies, between FBP and IR processing. We examined 107 patients with angina pectoris with MPI and coronary angiography (CAG), 77 man and 30 woman, aged 32-82. MPI studies were processed with FBP and with IR. Positive finding at MPI was visualization of the perfusion defect. Positive finding at CAG was stenosis of coronary artery. Perfusion defect at MPI without coronary artery stenosis at CAG was considered like false positive. The results were statistically analyzed with bivariate correlation, and with one sample t-test. There were 20.6% normal, and 79.4% pathologic findings at FBP, 30.8% normal and 69.2% pathologic with IR and 37.4% normal and 62.6% pathologic at CAG. FBP produced 19 false positive findings, at IR 11 false positive findings. The correlation between FBP and CAG was 0.658 (P < 0.01) and between IR and CAG 0.784 (P < 0.01). The number of false positive findings at MPI with IR was significantly lower than at FBP (p < 0.01). Our study shows that IR processing MPI scintigraphy has less number of false positive findings, therefore it is our choice for processing MPI studies.
ISSN:0042-8450
2406-0720
DOI:10.2298/VSP141104035S