Trial reportRadiation oncology (London, England)2016
Relapse patterns after radiochemotherapy of glioblastoma with FET PET-guided boost irradiation and simulation to optimize radiation target volume.
Trial report in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review.Radiation oncology (London, England) · 2022Pooled it
- Neuroimaging classification of progression patterns in glioblastoma: a systematic review.Journal of neuro-oncology · 2018Pooled it
- Report of first recurrent glioma patients examined with PET-MRI prior to re-irradiation.PloS one · 2019Trial
- Imaging Biomarkers in Radiotherapy.Cancers · 2026Review
- Defining occult disease in glioblastoma using spectroscopic MRI: implications for clinical target volume delineation.Radiation oncology (London, England) · 2025Article
- Comparison ofClinical and translational radiation oncology · 2025Article
- Correlation between rCBV Delineation Similarity and Overall Survival in a Prospective Cohort of High-Grade Gliomas Patients: The Hidden Value of Multimodal MRI?Biomedicines · 2024Article
- [18]F-fluoroethyl-l-tyrosine positron emission tomography for radiotherapy target delineation: Results from a Radiation Oncology credentialing program.Physics and imaging in radiation oncology · 2024Article
- Radiomics for residual tumour detection and prognosis in newly diagnosed glioblastoma based on postoperative [Scientific reports · 2024Article
- Challenges and opportunities for advanced neuroimaging of glioblastoma.The British journal of radiology · 2023Review
- Hotspot on 18F-FET PET/CT to Predict Aggressive Tumor Areas for Radiotherapy Dose Escalation Guiding in High-Grade Glioma.Cancers · 2022Article
- A novel semiautomated method for background activity and biological tumour volume definition to improve standardisation ofEJNMMI physics · 2022Article
- Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.International journal of molecular sciences · 2021Review
- Contribution of PET imaging to radiotherapy planning and monitoring in glioma patients - a report of the PET/RANO group.Neuro-oncology · 2021Article
- Review
- Additional Value of 18F-FDOPA Amino Acid Analog Radiotracer to Irradiation Planning Process of Patients With Glioblastoma Multiforme.Frontiers in oncology · 2021Article
- Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2020Review
- Role of the default mode resting-state network for cognitive functioning in malignant glioma patients following multimodal treatment.NeuroImage. Clinical · 2020Article
- The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.Neurosurgery · 2019Review
- Dose-painted volumetric modulated arc therapy of high-grade glioma using 3,4-dihydroxy-6-[The British journal of radiology · 2019Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundO-(2-18 F-fluoroethyl)-L-tyrosine-(FET)-PET may be helpful to improve the definition of radiation target volumes in glioblastomas compared with MRI. We analyzed the relapse patterns in FET-PET after a FET- and MRI-based integrated-boost intensity-modulated radiotherapy (IMRT) of glioblastomas to perform an optimized target volume definition.
methodsA relapse pattern analysis was performed in 13 glioblastoma patients treated with radiochemotherapy within a prospective phase-II-study between 2008 and 2009. Radiotherapy was performed as an integrated-boost intensity-modulated radiotherapy (IB-IMRT). The prescribed dose was 72 Gy for the boost target volume, based on baseline FET-PET (FET-1) and 60 Gy for the MRI-based (MRI-1) standard target volume. The single doses were 2.4 and 2.0 Gy, respectively. Location and volume of recurrent tumors in FET-2 and MRI-2 were analyzed related to initial tumor, detected in baseline FET-1. Variable target volumes were created theoretically based on FET-1 to optimally cover recurrent tumor.
resultsThe tumor volume overlap in FET and MRI was poor both at baseline (median 12 %; range 0-32) and at time of recurrence (13 %; 0-100). Recurrent tumor volume in FET-2 was localized to 39 % (12-91) in the initial tumor volume (FET-1). Over the time a shrinking (mean 12 (5-26) ml) and shifting (mean 6 (1-10 mm) of the resection cavity was seen. A simulated target volume based on active tumor in FET-1 with an additional safety margin of 7 mm around the FET-1 volume covered recurrent FET tumor volume (FET-2) significantly better than a corresponding target volume based on contrast enhancement in MRI-1 with a same safety margin of 7 mm (100 % (54-100) versus 85 % (0-100); p < 0.01). A simulated planning target volume (PTV), based on FET-1 and additional 7 mm margin plus 5 mm margin for setup-uncertainties was significantly smaller than the conventional, MR-based PTV applied in this study (median 160 (112-297) ml versus 231 (117-386) ml, p < 0.001).
conclusionsIn this small study recurrent tumor volume in FET-PET (FET-2) overlapped only to one third with the boost target volume, based on FET-1. The shrinking and shifting of the resection cavity may have an influence considering the limited overlap of initial and relapse tumor volume. A simulated target volume, based on FET-1 with 7 mm margin covered 100 % of relapse volume in median and led to a significantly reduced PTV, compared to MRI-based PTVs. This approach may achieve similar therapeutic efficacy but lower side effects offering a broader window to intensify concomitant systemic treatment focusing distant failures.
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