کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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5726348 | 1609730 | 2017 | 7 صفحه PDF | دانلود رایگان |
- PSF-based PET-reconstruction improve lesion detection of metabolically active lung lesions.
- Higher matrix sizes improve lesion detection of metabolically active lung lesions.
- PSF-based PET-reconstructions and larger matrix sizes lead to higher SUVs.
- Attention needs to be paid on comparison and interpretation of different PET-data.
PurposeTo evaluate the influence of point spread function (PSF)-based reconstruction and matrix size for PET on (1) lung lesion detection and (2) standardized uptake values (SUV).MethodsThis prospective study included oncological patients who underwent [18F]-FDG-PET/CT for staging. PET data were reconstructed with a 2D ordered subset expectation maximization (OSEM) algorithm, and a 2D PSF-based algorithm (TrueX), separately with two matrix sizes (168Â ÃÂ 168 and 336Â ÃÂ 336). The four PET reconstructions (TrueX-168; OSEM-168; TrueX-336; and OSEM-336) were read independently by two raters, and PET-positive lung lesions were recorded. Blinded to the PET findings, a third independent rater assessed lung lesions with diameters of >4Â mm on CT. Subsequently, PET and CT were reviewed side-by side in consensus. Multi-factorial logistic regression analyses and two-way repeated measures analyses of variance (ANOVA) were performed.ResultsThirty-seven patients with 206 lung lesions were included. Lesion-based PET sensitivities differed significantly between reconstruction algorithms (PÂ <Â 0.001) and between reconstruction matrices (PÂ =Â 0.022). Sensitivities were 94.2% and 88.3% for TrueX-336; 88.3% and 85.9% for TrueX-168; 67.8% and 66.3% for OSEM-336; and 67.0% and 67.9% for OSEM-168; for rater 1 and rater 2, respectively. SUVmax and SUVmean were significantly higher for images reconstructed with 336Â ÃÂ 336 matrices than for those reconstructed with 168Â ÃÂ 168 matrices (PÂ <Â 0.001).ConclusionOur results demonstrate that PSF-based PET reconstruction, and, to a lesser degree, higher matrix size, improve detection of metabolically active lung lesions. However, PSF-based PET reconstructions and larger matrix sizes lead to higher SUVs, which may be a concern when PET data from different institutions are compared.
Journal: European Journal of Radiology - Volume 90, May 2017, Pages 20-26