2019
DOI: 10.1186/s40658-019-0265-8
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Reproducibility of compartmental modelling of 18F-FDG PET/CT to evaluate lung inflammation

Abstract: IntroductionCompartmental modelling is an established method of quantifying 18F-FDG uptake; however, only recently has it been applied to evaluate pulmonary inflammation. Implementation of compartmental models remains challenging in the lung, partly due to the low signal-to-noise ratio compared to other organs and the lack of standardisation. Good reproducibility is a key requirement of an imaging biomarker which has yet to be demonstrated in pulmonary compartmental models of 18F-FDG; in this paper, we address… Show more

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Cited by 4 publications
(3 citation statements)
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References 31 publications
(36 reference statements)
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“…The proportions of air, blood and tissue will vary with disease and as a consequence of disease progression. To improve reproducibility in 18 F-FDG PET, standardisation of acquisition and analysis protocols are of paramount importance [11,32]. To that end, further work is currently being undertaken by a wide-ranging group of experts to provide recommendations on optimal protocols (manuscript in preparation [33]).…”
Section: Resultsmentioning
confidence: 99%
“…The proportions of air, blood and tissue will vary with disease and as a consequence of disease progression. To improve reproducibility in 18 F-FDG PET, standardisation of acquisition and analysis protocols are of paramount importance [11,32]. To that end, further work is currently being undertaken by a wide-ranging group of experts to provide recommendations on optimal protocols (manuscript in preparation [33]).…”
Section: Resultsmentioning
confidence: 99%
“…Table 2 summarizes image analysis parameter reporting. Table 3 lists CM-specific parameters that the group recommends for reporting to promote reproducibility (56).…”
Section: Dynamic Data Analysis Dynamic Datasets Can Be Analyzed Usinmentioning
confidence: 99%
“…They found no significant differences between the groups but some variations in individual subjects between the two processing pipelines. They found blood ROI methodology, input function modeling, and time delay estimation to be key factors influencing the outcome (104).…”
Section: Chronic Obstructive Pulmonary Disease (Copd)mentioning
confidence: 99%