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Brainstem Glioma Prognostication: Static FET PET/CT
Dávid Gergő Nagy1, Júlia Singer2, Katalin Borbély3
1Department of Neurosurgery and Neurointervention, Semmelweis University, 1145 Budapest, Hungary.
Amino acid PET/CT, using O-(2-[18F]fluoroethyl)-L-tyrosine (FET) and a tumor-to-brain ratio (TBR) of 2.9, can accurately detect high-grade brainstem glioma. This aids in identifying patients with poor prognoses for timely treatment.
Area of Science:
- Neuro-oncology
- Nuclear Medicine
- Radiology
Background:
- Brainstem glioma classification and staging present challenges, often relying on radiological features due to limited biopsy accessibility.
- Accurate and early identification of malignant brainstem lesions is crucial for effective treatment planning and improving patient quality of life.
Purpose of the Study:
- To evaluate the utility of amino acid Positron Emission Tomography/Computed Tomography (PET/CT) with O-(2-[18F]fluoroethyl)-L-tyrosine (FET) for metabolic mapping in brainstem lesions.
- To determine the optimal tumor-to-brain ratio (TBR) threshold for differentiating high-grade from low-grade brainstem gliomas.
Main Methods:
- Retrospective analysis of 20 patients with uncertain brainstem lesions who underwent static FET PET/CT.
- Calculation and analysis of multiple tumor-to-brain ratios (TBR) to correlate with patient survival outcomes.
Main Results:
- A maximum Youden index was achieved at a TBR of 2.9.
- This TBR threshold demonstrated high sensitivity (91.7%) for detecting high-grade lesions.
- While positive (68.8%) and negative (75.0%) predictive values were good, specificity was lower (37.5%).
Conclusions:
- Static FET PET/CT is effective in improving the detection accuracy of high-grade brainstem gliomas.
- A TBR value of 2.9 is identified as the most suitable threshold for predicting poor prognosis in brainstem glioma patients.
- This imaging technique aids in the critical decision-making process for initiating appropriate therapy.
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