Variability of Metabolic Rate and Distribution Volume Quantification in Whole-Body Parametric PATLAK [18F]-FDG PET/CT—A Prospective Trial in Patients with Lung Cancer
<b>Background</b>: The recent introduction of whole-body positron emission tomography/ computed tomography (PET/CT) scanners and multi-bed, multi-time point acquisition technique enable calculating fluorodeoxyglucose (FDG) kinetics in the whole body. However, validating parametric, Patlak-derived data is difficult on phantoms. <b>Methods</b>: This prospective study investigated the effect of quantification methods mean, max, and peak on the metabolic rate (MR-FDG) and distribution volume (DV-FDG) quantification, as well as the diagnostic accuracy of parametric Patlak FDG-PET scans in diagnosing lung lesions and lymph node metastases, using histopathology and follow-up as reference standards. Dynamic whole-body FDG PET was acquired for 80 minutes in 34 patients with indeterminate lung lesions and kinetic parameters extracted from lung lesions and representative mediastinal and hilar lymph nodes. <b>Results</b>: All quantification methods-mean, max, and peak-demonstrated high diagnostic accuracy (AUC: MR-FDG: 0.987-0.991 and 0.893-0.905; DV-FDG: 0.948-0.975 and 0.812-0.825) for differentiating benign from malignant lymph nodes and lung lesions. Differences in the magnitude of MR-FDG (-4.76-14.09) and DV-FDG (-10.64-46.10%) were substantial across methods. Variability was more pronounced in lymph nodes (MR-FDG: 1.37-3.48) than in lung lesions (MR-FDG: 3.31-5.04). The variability was lowest between mean and max quantification, with percentage differences of 40.87 ± 5.69% for MR-FDG and 39.26 ± 7.68% for DV-FDG. <b>Conclusions</b>: The choice of method to measure MR-FDG and DV-FDG greatly influences the results, especially in smaller lesions with large and systematic differences. For lung lesions, a conversion factor between mean and max methods of 40% provides acceptable agreement, facilitating retrospective comparisons of measurements, e.g., in meta-analyses.
Authors
- Stephan Ursprung (ORCID: https://orcid.org/0000-0003-2476-178X)
- Patrick Ghibes
- Konstantin Nikolaou (ORCID: https://orcid.org/0000-0003-2668-7325)
- Florian Hagen (ORCID: https://orcid.org/0000-0002-1215-9428)
- Christian la Fougère (ORCID: https://orcid.org/0000-0001-7519-0417)
- Matthias Weissinger (ORCID: https://orcid.org/0000-0003-2044-3047)
- Lars Zender (ORCID: https://orcid.org/0000-0001-7626-2849)
Institutions
- Marienhospital Stuttgart (DE)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Diagnostics
- Published
- 2025-07-05
- DOI
- https://doi.org/10.3390/diagnostics15131719
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eberhard Karls Universität Tübingen