dc.contributor.advisor |
la Fougère, Chrstian (Prof. Dr.) |
|
dc.contributor.author |
Atmanspacher, Max Johannes |
|
dc.date.accessioned |
2025-06-12T14:55:43Z |
|
dc.date.available |
2025-06-12T14:55:43Z |
|
dc.date.issued |
2025-06-12 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/166577 |
|
dc.identifier.uri |
http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-1665774 |
de_DE |
dc.identifier.uri |
http://dx.doi.org/10.15496/publikation-107904 |
|
dc.description.abstract |
Static [18F]FDG-PET/CT is the imaging method of choice for evaluation of indeterminate lung lesions and NSCLC staging, however, histological confirmation of PET-positive lesions is needed in most cases due to its limited specificity. Therefore, we aimed to evaluate the diagnostic performance of additional dynamic whole-body PET. Methods: 34 consecutive patients with indeterminate pulmonary lesions were enrolled in this prospective trial. All patients underwent a static (60 min p.i) and dynamic (0-60min p.i.) whole-body [18F]FDG-PET/CT (300 MBq) using multi-bed-multi-timepoint technique (Siemens mCT FlowMotion). Histology and follow-up served as ground truth. Kinetic modelling factors were calculated using a 2-compartment linear Patlak model (FDG influx rate constant =Ki, metabolic rate = MR-FDG, distribution volume = DV-FDG) and compared to SUV using ROC-analysis. Results: MR-FDGmean provided the best discriminatory power between benign and malignant lung lesions with AUC of 0.887. AUC of DV-FDGmean (0.818) and SUVmean (0.827) was non-significantly lower. For LNM, the AUCs for MR-FDGmean (0.987) and SUVmean (0.993) were comparable. Moreover, the DV-FDGmean in liver metastases was three times higher than in bone or lung metastases. Conclusions: Metabolic rate quantification was shown to be a reliable method to detect malign lung tumors, LNM and distant metastases at least as accurately as the established SUV or dual time-point PET scans. |
en |
dc.language.iso |
en |
de_DE |
dc.publisher |
Universität Tübingen |
de_DE |
dc.rights |
ubt-podno |
de_DE |
dc.rights.uri |
http://tobias-lib.uni-tuebingen.de/doku/lic_ohne_pod.php?la=de |
de_DE |
dc.rights.uri |
http://tobias-lib.uni-tuebingen.de/doku/lic_ohne_pod.php?la=en |
en |
dc.subject.ddc |
610 |
de_DE |
dc.title |
Dynamisches Ganzkörper-[18F]FDG-PET/CT bei Patienten/innen mit Bronchialkarzinom |
de_DE |
dc.type |
PhDThesis |
de_DE |
dcterms.dateAccepted |
2025-05-20 |
|
utue.publikation.fachbereich |
Medizin |
de_DE |
utue.publikation.fakultaet |
4 Medizinische Fakultät |
de_DE |
utue.publikation.source |
Weissinger, M.; Atmanspacher, M.; Spengler, W.; Seith, F.; Von Beschwitz, S.; Dittmann, H.; Zender, L.; Smith, A.M.; Casey, M.E.; Nikolaou, K.; et al. Diagnostic Performance of Dynamic Whole-Body Patlak [18F]FDG-PET/CT in Patients with Indeterminate Lung Lesions and Lymph Nodes. J. Clin. Med. 2023, 12, 3942. https://doi.org/10.3390/jcm12123942 |
de_DE |
utue.publikation.noppn |
yes |
de_DE |