Trial reportEuropean journal of nuclear medicine and molecular imaging2019
Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma.
Trial report in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
44 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review.Radiation oncology (London, England) · 2022Pooled it
- Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies.Frontiers in oncology · 2022Pooled it
- Comparison of Amino Acid PET to Advanced and Emerging MRI Techniques for Neurooncology Imaging: A Systematic Review of the Recent Studies.Molecular imaging · 2021Pooled it
- Predictive value of apparent diffusion coefficient, plasma levels of placental growth factor and glial fibrillary acidic protein, and their combinations for patients with recurrent glioblastoma.Discover oncology · 2026Article
- The confounding effects of microvascular physiology on the uptake and diagnostic accuracy of [European journal of nuclear medicine and molecular imaging · 2026Article
- Parametric mapping of dynamicCancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Supervoxel-based multimodal MRI biomarkers reveal tumor heterogeneity in high-grade glioma for prognostic stratification and therapy response prediction.NPJ precision oncology · 2026Article
- Radiomics in glioblastoma recurrence: advances in prediction, localization, and differentiation from treatment-related effects.Journal of translational medicine · 2026Review
- Comparison of [European journal of nuclear medicine and molecular imaging · 2026Article
- Multimodal Imaging to Improve Patient Selection and Optimize Treatment Planning and Delivery for Patients Undergoing Reirradiation: A Scoping Review.Current oncology reports · 2025Article
- Comparative Outcomes of Standard Radiation Therapy and 5-Fraction Adaptive Stereotactic Radiation Therapy in Newly Diagnosed Glioblastoma: A Propensity Score-Matched Analysis.Advances in radiation oncology · 2025Article
- Article
- Measurable disease as baseline criterion for response assessment in glioblastoma: A comparison of PET -based (PET RANO 1.0) and MRI-based (RANO) assessments.Neuro-oncology · 2025Article
- Noninvasive prediction of CCL2 expression level in high-grade glioma patients.Cancer medicine · 2024Article
- The use of PET/MRI in radiotherapy.Insights into imaging · 2024Review
- Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patients.Scientific reports · 2024Article
- Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence.Frontiers in oncology · 2024Article
- Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging.Frontiers in oncology · 2024Review
- Association of MRI Volume Parameters in Predicting Patient Outcome at Time of Initial Diagnosis of Glioblastoma.Brain sciences · 2023Article
- Deep learning based on dynamic susceptibility contrast MR imaging for prediction of local progression in adult-type diffuse glioma (grade 4).Scientific reports · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecurrence in glioblastoma patients often occur close to the original tumour and indicates that the current treatment is inadequate for local tumour control. In this study, we explored the feasibility of using multi-modality imaging at the time of radiotherapy planning. Specifically, we aimed to identify parameters from pre-treatment PET and MRI with potential to predict tumour recurrence. MATERIALS AND
methodsSixteen patients were prospectively recruited and treated according to established guidelines. Multi-parametric imaging with
resultsSignificant median differences between recurring and non-recurring voxels were observed for FDG, FET, fractional anisotropy, mean diffusivity, mean transit time, extra-vascular, extra-cellular blood volume and permeability derived from scans prior to chemo-radiotherapy. Tissue-specific patterns of voxel-wise correlations were observed. The most pronounced correlations were observed for
conclusionMulti-parametric imaging before radiotherapy is feasible and significant differences in imaging parameters between recurring and non-recurring voxels were observed. Combining parameters in a logistic regression model enabled patient-specific maps of recurrence probability, where
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