Abstract
Background In clinical routine, SUVmax and SUVpeak are most often used to determine the glucose metabolism in tumours by F-18-FDG PET/CT. Both metrics can be further normalised to SUVs in reference regions resulting in a SUV ratio (SUVratio). The aim of the study was to directly compare several widely used SUVs/SUVratios with regard to differentiation between common tumours in paediatric patients;a special focus was put on characteristics of reference region SUVs. Methods The final study population consisted of 61 children and adolescents with diagnoses of non-Hodgkin lymphoma (NHL, n = 25), Hodgkin lymphoma (HL, n = 14), and sarcoma (n = 22). SUV metrics included SUVmax and SUVpeak as well as both parameters normalised to liver and mediastinal blood pool, respectively, yielding the SUVratios SUVmax/liver, SUVmax/mediastinum, SUVpeak/liver, and SUVpeak/mediastinum. Results The metrics SUVmax, SUVpeak, SUVmax/liver, and SUVpeak/liver all proved to be sensitive for tumour differentiation (p <= 0.008);in contrast, SUVmax/mediastinum and SUVpeak/mediastinum revealed to be non-sensitive approaches. Correlation analyses showed inverse associations between reference region SUVs and SUVratios (p < 0.05). Multiple regression analyses demonstrated significant effects of factors as bodyweight and uptake time on reference region SUVs (p < 0.01), and thus indirectly on the corresponding SUVratios. Conclusions In the paediatric population, the ability to differentiate between common tumours remarkably varies between SUV metrics. When using SUVratios, the choice of reference region is crucial. Factors potentially influencing reference region SUVs (and thus SUVratios) should be taken into account in order to avoid erroneous conclusions. When not possible, SUVmax and SUVpeak represent less complex, more robust alternatives.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 2191-219X |
Sprache: | Englisch |
Dokumenten ID: | 78374 |
Datum der Veröffentlichung auf Open Access LMU: | 15. Dez. 2021, 14:43 |
Letzte Änderungen: | 15. Dez. 2021, 14:43 |