Background: Static [F]FDG-PET/CT is the imaging method of choice for the 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: A total of 34 consecutive patients with indeterminate pulmonary lesions were enrolled in this prospective trial. All patients underwent static (60 min p.i.) and dynamic (0-60 min p.i.) whole-body [F]FDG-PET/CT (300 MBq) using the multi-bed-multi-timepoint technique (Siemens mCT FlowMotion). Histology and follow-up served as ground truth. Kinetic modeling factors were calculated using a two-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-FDG provided the best discriminatory power between benign and malignant lung lesions with an AUC of 0.887. The AUC of DV-FDG (0.818) and SUV (0.827) was non-significantly lower. For LNM, the AUCs for MR-FDG (0.987) and SUV (0.993) were comparable. Moreover, the DV-FDG 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 malignant lung tumors, LNM, and distant metastases at least as accurately as the established SUV or dual-time-point PET scans.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299392PMC
http://dx.doi.org/10.3390/jcm12123942DOI Listing

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