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Reference values of physiological 18F-FET uptake: Implications for brain tumor discrimination
Brigitte Fuenfgeld1,2, Philipp Mächler1, Dorothee R Fischer3
1Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Plos One
|April 18, 2020
Summary
This study established reference values for 18F-fluoro-ethyl-L-tyrosine positron emission tomography (18F-FET-PET) uptake in normal brain structures. These values help differentiate tumor tissue from normal brain and head structures.
Area of Science:
- Neuroimaging
- Radiochemistry
- Oncology
Background:
- 18F-fluoro-ethyl-L-tyrosine positron emission tomography (18F-FET-PET) is a crucial imaging modality.
- Accurate differentiation between tumor and normal brain tissue is essential for diagnosis and treatment planning.
- Establishing reference values for 18F-FET-PET uptake in normal brain structures is necessary.
Purpose of the Study:
- To derive reference values for 18F-FET-PET uptake in normal brain and head structures.
- To enable better differentiation between tumorous and healthy tissues.
- To provide a quantitative basis for interpreting 18F-FET-PET scans.
Main Methods:
- Analysis of dynamic 18F-FET-PET data from 70 patients.
- Assessment of Maximum Standardized Uptake Value (SUVmax), Target-to-Background Ratio (TBR), and Time Activity Curve (TAC).
- Statistical comparison of uptake values in eight normal anatomic structures and tumor tissue.
Main Results:
- All analyzed normal structures showed 18F-FET uptake higher than background (TBR > 1.5).
- Venous sinuses and cranial muscles had the highest TBR (2.03±0.46), followed by gray matter structures (TBR 1.42±0.17).
- No significant differences in SUVmax, TBR, and TAC were observed between high-grade and low-grade gliomas, except for the SUVmax of the pineal gland.
Conclusions:
- Normal brain tissue exhibits increased 18F-FET uptake compared to background.
- Two distinct uptake clusters were identified: venous structures and gray matter.
- Reference uptake values aid in distinguishing normal tissues from potential pathologies on 18F-FET-PET scans.
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