Feasibility of Individualized, Model-guided Optimization of Proton Beam Treatment Planning in Patients With Low Grade Glioma
NCT ID: NCT05964569
Last Updated: 2024-01-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
PHASE2
120 participants
INTERVENTIONAL
2023-11-11
2028-11-11
Brief Summary
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Detailed Description
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Owing to the biophysical properties of protons with an inverse depth dose profile compared to photons and a steep dose fall of to the normal tissue, there is a strong rationale for the use of PRT in the treatment of patients with low-grade glioma. Although data from large randomized trials are still missing there is increasing evidence from smaller prospective trials and retrospective analyses that the expected advantages indeed transform into clinical advantages.
However, in about 20 % of all patients, late contrast-enhancing brain lesions (CEBL) appear on follow-up MR images 6 - 24 months after treatment. At HIT in Heidelberg and at OncoRay in Dresden, CEBLs have been observed to occur at very distinct locations in the brain and relative to the treatment field. Retrospective analysis has elucidated potential key factors that lead to CEBL occurrence. However, avoidance of CEBLs is hardly feasible using conventional treatment planning strategies. Model-aided risk avoidance denotes the use of model-based CEBL risk calculations as an auxiliary tool for clinical treatment planning: Model-based risk calculations and risk reduction via software-based optimization help the clinician to minimize risk of CEBL occurrence during treatment planning.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Standard treatment plan
Model-based NTCP is calculated after plan approval, however, no further adjustments are to be made to the approved treatment plan
standard treatment plan, no optimization
original treatment plans are not optimized
Optimized treatment plan
Allocated to Control Calculation of normal tissue complication probability (NTCP) Model-guided replanning. Replanning is performed with Raysearch Raystation. Optimizations objectives are:
1. the optimization objectives that control the maximum dose in the target volume employ a variable, LETd-dependent model for RBE that allows us to include the RBE-variations predicted by the NTCP model
2. the periventricular volume, defined as the volume closer than 4 mm to the ventricular wall, is included into the optimization with a constraint on its Equivalent Uniform Dose (EUD) and with the variable RBE model described above. Thereby, the combined effect of the RBE variation and increased sensitivity of the periventricular volume, as predicted by the NTCP model, is included.
The effectiveness of the re-planning is verified by a second NTCP computation.
model-guided optimization of treatment plan
original treatmant plans are optimized based on model-based NTCP
Interventions
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model-guided optimization of treatment plan
original treatmant plans are optimized based on model-based NTCP
standard treatment plan, no optimization
original treatment plans are not optimized
Eligibility Criteria
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Inclusion Criteria
* histologically proven low-grade glioma
* indication for definitive or adjuvant radiotherapy
* ability to understand character and personal consequences of the clinical trial
* written informed consent
Exclusion Criteria
* contraindication for contrast-enhanced MRI
* neurofibromatosis
* participation in another clinical trial with competing objectives
18 Years
ALL
No
Sponsors
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University Hospital Heidelberg
OTHER
Responsible Party
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Juergen Debus
Department Head
Locations
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Department of Radiotherapy, University of Heidelberg
Heidelberg, , Germany
Countries
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Central Contacts
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Facility Contacts
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Provided Documents
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Document Type: Study Protocol
Other Identifiers
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RadOnk-Indigo
Identifier Type: -
Identifier Source: org_study_id
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