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Genotype-dependent [18F]FDOPA uptake: quantitative evidence from a genetically stratified PPGL cohort
Paul Dahlmann1, Maria Geuss1, Matthias Auer2
1Department of Nuclear Medicine, LMU University Hospital, LMU Munich, 81377, Munich, Germany.
Summary
[18F]FDOPA PET/CT imaging shows high sensitivity for detecting pheochromocytoma and paraganglioma (PPGL). This PET/CT scan can differentiate between genetic PPGL subtypes, aiding in diagnosis and treatment stratification.
Area of Science:
- Nuclear Medicine
- Oncology
- Endocrinology
Background:
- Pheochromocytoma and paraganglioma (PPGL) are classified into genetic clusters with varying aggressiveness.
- [18F]FDOPA PET/CT is a key diagnostic tool for PPGL.
- Understanding uptake patterns across genetic clusters is crucial for diagnosis and prognosis.
Purpose of the Study:
- To evaluate the diagnostic performance of [18F]FDOPA PET/CT in PPGL.
- To assess quantitative [18F]FDOPA uptake across different genetic PPGL clusters.
- To compare PET/CT findings with morphological imaging for PPGL subtype segregation.
Main Methods:
- Retrospective analysis of 69 PPGL patients undergoing [18F]FDOPA PET/CT.
- Quantitative analysis included metabolic tumor volume (MTV), SUVmax, SUVmean, and tumor-to-background ratio (TBR).
- Diagnostic sensitivity was assessed visually and via TBR threshold; genetic clusters were compared using non-parametric tests.
Main Results:
- High patient-based (97.1%) and lesion-based (94.2%) sensitivity for PPGL detection.
- Excellent image contrast with a median TBR of 6.9.
- Cluster 2 tumors showed significantly lower uptake intensity (TBR/SUVmax/SUVmean) compared to sporadic, cluster 1a, and 1b tumors; MTV was larger in cluster 1b and sporadic cases.
Conclusions:
- [18F]FDOPA PET/CT offers excellent diagnostic performance for non-metastatic PPGL.
- Quantitative uptake patterns differentiate between genetic PPGL clusters.
- Morphological imaging alone is insufficient for PPGL subtype segregation.
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