2022
DOI: 10.3390/diagnostics12020451
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Influences on PET Quantification and Interpretation

Abstract: Various factors have been identified that influence quantitative accuracy and image interpretation in positron emission tomography (PET). Through the continuous introduction of new PET technology—both imaging hardware and reconstruction software—into clinical care, we now find ourselves in a transition period in which traditional and new technologies coexist. The effects on the clinical value of PET imaging and its interpretation in routine clinical practice require careful reevaluation. In this review, we pro… Show more

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Cited by 12 publications
(7 citation statements)
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References 212 publications
(306 reference statements)
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“…There is also the possibility that the specified region of interest over which the SUV peak is quantified might include voxels outside of the tumour volume. It’s worth noting also that due to the limited spatial resolution of PET imaging, partial volume effects can affect biomarker quantitation accuracy 36 . This leads to an underestimation of lesion activity because of activity dilution at the borders of the region of interest from volume averaging, and makes the lesion appear larger than it is in reality.…”
Section: Discussionmentioning
confidence: 99%
“…There is also the possibility that the specified region of interest over which the SUV peak is quantified might include voxels outside of the tumour volume. It’s worth noting also that due to the limited spatial resolution of PET imaging, partial volume effects can affect biomarker quantitation accuracy 36 . This leads to an underestimation of lesion activity because of activity dilution at the borders of the region of interest from volume averaging, and makes the lesion appear larger than it is in reality.…”
Section: Discussionmentioning
confidence: 99%
“…Although dual time-point PET scan has been previously investigated by other groups, our study was the first, to our knowledge, to use the Bayesian penalized likelihood (BPL) reconstruction algorithm, which could have contributed to the improved lesion detection. BPL uses a block sequential regularized expectation maximization to improve the algorithm optimization for lesion detection, and its performance is superior to the conventional standard algorithms in small lesion detectability while improving the accuracy of the quantitative parameters [26][27][28]. Parvizi et al [29] suggested BPL may improve the diagnostic performance of 18 F-FDG PET/CT in CRLM patients.…”
Section: Discussionmentioning
confidence: 99%
“…We limited the influence of decay by choosing time points within the closest range from each of the centers for the SUV measurements at the biopsy locations (i.e., 120, 145, and 160 min after injection), and we chose those time points for which the time-activity curves showed a near-plateau phase of tracer uptake. Second, it is well known that the PET reconstruction method can influence the outcome of SUV measurements (40,41), and these differed across centers. Therefore, we also performed correlational analyses per tracer or center.…”
Section: Discussionmentioning
confidence: 99%