Abstract
BackgroundTo compare the changes in quantitative parameters and the size and degree of 18F-fluorodeoxyglucose ([18F]FDG) uptake of malignant tumor lesions between Bayesian penalized-likelihood (BPL) and non-BPL reconstruction algorithms.MethodsPositron emission tomography/computed tomography images of 86 malignant tumor lesions were reconstructed using the algorithms of ordered subset expectation maximization (OSEM), OSEM + time of flight (TOF), OSEM + TOF + point spread function (PSF), and BPL. [18F]FDG parameters of maximum standardized uptake value (SUVmax), SUVmean, metabolic tumor volume (MTV), total lesion glycolysis (TLG), and signal-to-background ratio (SBR) of these lesions were measured. Quantitative parameters between the different reconstruction algorithms were compared, and correlations between parameter variation and lesion size or the degree of [18F]FDG uptake were analyzed.ResultsAfter BPL reconstruction, SUVmax, SUVmean, and SBR were significantly increased, MTV was significantly decreased. The difference values of %ΔSUVmax, %ΔSUVmean, %ΔSBR, and the absolute value of %ΔMTV between BPL and OSEM + TOF were 40.00%, 38.50%, 33.60%, and 33.20%, respectively, which were significantly higher than those between BPL and OSEM + TOF + PSF. Similar results were observed in the comparison of OSEM and OSEM + TOF + PSF with BPL. The %ΔSUVmax, %ΔSUVmean, and %ΔSBR were all significantly negatively correlated with the size and degree of [18F]FDG uptake in the lesions, whereas significant positive correlations were observed for %ΔMTV and %ΔTLG.ConclusionThe BPL reconstruction algorithm significantly increased SUVmax, SUVmean, and SBR and decreased MTV of tumor lesions, especially in small or relatively hypometabolic lesions.
Highlights
To compare the changes in quantitative parameters and the size and degree of 18F-fluorodeoxyglucose ([18F]FDG) uptake of malignant tumor lesions between Bayesian penalized-likelihood (BPL) and non-BPL reconstruc‐ tion algorithms
The SUVmax, SUVmean, and signal-to-background ratio (SBR) values for the PET scans reconstructed by the BPL algorithm were significantly greater than those by ordered subset expectation maximization (OSEM), OSEM + time of flight (TOF), or OSEM + TOF + point spread function (PSF) algorithm (X2 = 38.78, X2 = 38.21, X2 = 33.62, respectively; all P < 0.001)
After pair-wise comparison, the SUVmax, SUVmean, and SBR values were significantly different between OSEM and BPL, OSEM + TOF and BPL, and OSEM + TOF + PSF and BPL
Summary
To compare the changes in quantitative parameters and the size and degree of 18F-fluorodeoxyglucose ([18F]FDG) uptake of malignant tumor lesions between Bayesian penalized-likelihood (BPL) and non-BPL reconstruc‐ tion algorithms. As an emerging reconstruction technology, the Bayesian penalized-likelihood (BPL) reconstruction algorithm takes the accuracy of PET/CT quantitative parameters a step forward without sacrificing high-quality images [3, 4]. Previous studies have shown that changes of [18F]FDG uptake in tumor lesions by BPL construction can be affected by lesion size and the degree of [18F]FDG uptake [4,5,6,7,8] These studies showed that BPL can increase [18F] FDG uptake in non-small cell lung cancer lesions, especially small lesions [6,7,8], resulting in improvements of the sensitivity and accuracy for lung nodule diagnosis. Changes in maximum standardized uptake value (SUVmax) in lesions reconstructed by BPL, which have different levels of [18F]FDG, are significantly different [6]
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