Contribution of (18)F-Fluoro-ethyl-tyrosine Positron Emission Tomography to Target Volume Delineation in Stereotactic Radiotherapy of Malignant Cranial Base Tumours: First Clinical Experience.
Reinhold GrafMichail PlotkinFonyuy NyuykiPeter WustReinhard WurmVolker BudachWinfried BrennerDaniel FahdtPublished in: International journal of molecular imaging (2012)
Increased amino acid uptake has been demonstrated in intracerebral tumours and head and neck carcinomas of squamous cell origin. We investigated the potential impact of using (18)F-fluoro-ethyl-tyrosine ((18)F-FET)-PET/CT in addition to conventional imaging for gross tumour volume (GTV) delineation in stereotactic radiotherapy of skull base tumours. The study population consisted of 14 consecutive patients with cranial base tumours (10 with squamous cell histology, 4 others). All patients underwent a FET-PET/CT examination in addition to contrast-enhanced CT and 11 patients underwent MRI. All tumours and histologic types showed increased FET uptake. The GTV was defined by all voxels showing hyperintensity in MRI or CT (GTV(MRI/CT)) or enhancement in PET (GTV(PET)), forming a GTV(composite) that was used for the initial treatment fields. An additional volume of infiltrative growth outside the GTV(MRI/CT) of about 1.0 ± 2 cm(3) (5% of the conventional volume) was demonstrated by FET-PET only (GTV(PETplus)) with significant enlargement (>10% of GTV(MRI/CT)) in three patients. From existing data, we found correlation between cellular density and the standardized uptake value (SUV) of FET. We were able to substantially reduce the volume of escalated radiation dose (GTV(boost)) by 11 ± 2 cm(3) (24%) of the conventional volume.
Keyphrases
- contrast enhanced
- positron emission tomography
- computed tomography
- pet ct
- magnetic resonance imaging
- diffusion weighted
- end stage renal disease
- magnetic resonance
- dual energy
- diffusion weighted imaging
- ejection fraction
- chronic kidney disease
- pet imaging
- squamous cell
- peritoneal dialysis
- newly diagnosed
- squamous cell carcinoma
- small cell lung cancer
- early stage
- high resolution
- machine learning
- risk assessment
- artificial intelligence
- high grade
- brain metastases
- ionic liquid