ArticleRadiation oncology journal2022
Limited field adaptive radiotherapy for glioblastoma: changes in target volume and organ at risk doses.
Article in Radiation oncology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06492486 (Glioma Adaptive Radiotherapy With Development of an Artificial Intelligence Workflow), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Glioma Adaptive Radiotherapy With Development of an Artificial Intelligence Workflow
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Timing of Planning Magnetic Resonance Imaging and Patient Selection for Adaptive Radiation Therapy in Newly Diagnosed High-Grade Glioma.International journal of radiation oncology, biology, physics · 2025Pooled it
- Adoption of Hybrid MRI-Linac Systems for the Treatment of Brain Tumors: A Systematic Review of the Current Literature Regarding Clinical and Technical Features.Technology in cancer research & treatmentPooled it
- Monitoring glioblastoma dynamics during chemoradiation on the 1.5 T magnetic resonance imaging-linear accelerator.Clinical and translational radiation oncology · 2026Article
- Adaptive radiation therapy for glioblastoma: clinical efficacy and recurrence patterns.Radiation oncology (London, England) · 2025Article
- Temporospatial tumor dynamic changes in glioblastoma during radiotherapy.Journal of neuro-oncology · 2025Article
- Magnetic resonance imaging in glioblastoma radiotherapy - beyond treatment adaptation.Physics and imaging in radiation oncology · 2025Article
- FLASH radiotherapy: bridging revolutionary mechanisms and clinical frontiers in cancer treatment - a narrative review.Ewha medical journal · 2024Review
- Evolving concepts in margin strategies and adaptive radiotherapy for glioblastoma: A new future is on the horizon.Neuro-oncology · 2024Review
- Impact of Postoperative Changes in Brain Anatomy on Target Volume Delineation for High-Grade Glioma.Cancers · 2023Article
- Simulated Adaptive Radiotherapy for Shrinking Glioblastoma Resection Cavities on a Hybrid MRI-Linear Accelerator.Cancers · 2023Article
- Article
- Patient-Specific Computational Framework to Spatiotemporally Forecast Treatment Response and Identify Biologically Informed Radiotherapy Targets in High-Grade Glioma.JCO clinical cancer informaticsArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to investigate the tumor volume changes occurring during limited-field radiotherapy (RT) for glioblastoma patients and whether a volume-adapted boost planning approach provided any benefit on tumor coverage and normal tissue sparing. MATERIALS AND
methodsTwenty-four patients underwent simulation with magnetic resonance (MR) and computed tomography (CT) scans prior to RT (MR_initial, CT_initial) and boost treatment (MR_adapt, CT_adapt). For the boost phase, MR_initial and MR_adapt images were used to delineate GTV2 and GTV2_adapt, respectively. An initial boost plan (Plan_initial) created on CT_initial for PTV2 was then reoptimized on CT_adapt by keeping the same optimization and normalization values. Plan_adapt was generated on CT_adapt for PTV2_adapt volume. Dose volume histogram parameters for target volumes and organs-at-risk were compared using these boost plans generated on CT_adapt. Plan_initial and Plan_adaptive boost plans were summed with the first phase plan and the effect on the total dose was investigated.
resultsTarget volume expansion was noted in 21% of patients while 79% had shrinkage. The average difference for the initial and adaptive gross tumor volume (GTV), clinical target volume (CTV), and planning target volume (PTV) volumes were statistically significant. Maximum dose differences for brainstem and optic chiasm were significant. Healthy brain tissue V10 and ipsilateral optic nerve maximum doses were found to decrease significantly in Plan_adaptive.
conclusionResults of this study confirm occurrence of target volume changes during RT for glioblastoma patients. An adaptive plan can provide better normal tissue sparing for patients with lesion shrinkage and avoid undercoverage of treatment volumes in case of target volume expansion especially when limited-fields are used.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.