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Low-grade glioma (LGG) represent typically slowly growing primary brain tumors with world health organization (WHO) grade I or II who affect young adults around their fourth decade. Radiological feature on MRI is a predominantly T2 hyperintense signal, LGG show typically no contrast uptake. Radiotherapy plays an important role in the treatment of LGG. However, not least because of the good prognosis with long term survivorship the timing of radiotherapy has been discussed controversially. In order to avoid long term sequelae such as neurocognitive impairment, malignant transformation or secondary neoplasms initiation was often postponed as long as possible
Since patients with low grade glioma are expected to become long-term survivors, the prevention of long-term sequelae is particularly important. In addition to disease progression, also treatment related side effects such as decline of neurocognitive function, endocrine impairment or sensorineural deficits can have a negative impact on patient's quality of life.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Standard treatment plan | Active Comparator | Model-based NTCP is calculated after plan approval, however, no further adjustments are to be made to the approved treatment plan |
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| Optimized treatment plan | Experimental | Allocated to Control Calculation of normal tissue complication probability (NTCP) Model-guided replanning. Replanning is performed with Raysearch Raystation. Optimizations objectives are:
The effectiveness of the re-planning is verified by a second NTCP computation. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| model-guided optimization of treatment plan | Other | original treatmant plans are optimized based on model-based NTCP |
|
| Measure | Description | Time Frame |
|---|---|---|
| incidence of contrast enhancing brain leasions | the cumulative incidence of contrast enhancing brain lesions | observed within 24 months after PRT measured by quarterly contrast enhanced MRI of the brain |
| Measure | Description | Time Frame |
|---|---|---|
| radiation-induced brain injuries | incidence of radiation-induced brain injuries > CTC°II | observed within 24 months after PRT measured by quarterly contrast enhanced MRI of the brain |
| progression-free survival |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Semi Harrabi, MD | Contact | +496221 56 | 8201 | semi.harrabi@med.uni-heidelberg.de |
| Adriane Lentz-Hommertgen, Phd | Contact | +496221 56 | 8201 | adriane.lentz-hommertgen@med.uni-heidelberg.de |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Radiotherapy, University of Heidelberg | Recruiting | Heidelberg | 69120 | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39393467 | Derived | Sallem H, Harrabi S, Traneus E, Herfarth K, Debus J, Bauer J. A model-based risk-minimizing proton treatment planning concept for brain injury prevention in low-grade glioma patients. Radiother Oncol. 2024 Dec;201:110579. doi: 10.1016/j.radonc.2024.110579. Epub 2024 Oct 10. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Oct 21, 2022 | Oct 25, 2023 |
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randomized, observer blind two arm (active control), parallel group
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| standard treatment plan, no optimization | Other | original treatment plans are not optimized |
|
number of surviving patients without tumor progression
| observed within 24 months after PRT measured by quarterly contrast enhanced MRI of the brain |
| overall survival | number of surviving patients | observed within 24 months after Proton Beam Therapy (PRT) measured by quarterly contrast enhanced MRI of the brain |
| patient reported outcome | patient reported outcome according to points on the PRO-CTCAE questionaire, scored 0/1 for absent/present) | up to 24 months after completion of radiotherapy |
| quality of life QLQ-C30 | scores on the QLQ-C30 questionare, scored 0 (absence) to 5 (fully present) | up to 24 months after completion of PRT |
| quality of life QLQ-BN20 | scores on the QLQ-BN20 questionare, scored 0 (absence) to 5 (fully present) | up to 24 months after completion of PRT |
| Prot_000.pdf |