Assessing Functionality and Benefits of Comprehensive Dose Volume Prescriptions: An International, Multi-Institutional, Treatment Planning Study in Spine Stereotactic Body Radiation Therapy.
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- Record sourced from PubMed, PMID 30611464.
- Also identified by DOI 10.1016/j.prro.2018.05.006.
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Abstract
This study aimed to assess the effectiveness of multiple dose-volume specifications in minimizing interinstitutional, target-prescribed, dose variations for spine stereotactic body radiation therapy (SBRT). Seven institutions with a total of 10 treatment apparatuses participated in this study. SBRT plans for 3 representative spinal metastases were generated using 2 different protocols (Protocols 1 and 2) for target dose. While using just 2 target dose objectives (doses delivered to 95% and maximum point dose) in Protocol 1, 3 target dose constraints (doses delivered to 95% and 50% and maximum point dose) were defined in Protocol 2 with the intent to decrease target dose variation. A dose-volume histogram analysis was performed for the evaluated planning target volume (PTV<sub>evl</sub>) and critical neural structures such as the spinal cord and cauda equina. Doses to the organs at risk were all maintained at the maximal tolerance in both protocols; however, the interinstitutional variation of the PTV<sub>evl</sub> dose-volume histograms was significantly decreased with Protocol 2. Furthermore, the mean PTV<sub>evl</sub> covered by the prescription dose was increased from 73.0% in Protocol 1 to 85.8% in Protocol 2. There were no differences in the mean values of the nearly maximum dose of the critical neural structures between 2 protocols. In spine SBRT with the emphasis on preservation of critical neural structures, the target prescribed dose should be defined by using multiple dose-volume objectives to minimize user and apparatus-dependent dose variabilities for the spinal metastases that are adjacent to the critical neural structures.
Medical subject headings
- Algorithms
- Organs at Risk
- Radiosurgery
- Radiotherapy Planning, Computer-Assisted
- Spinal Neoplasms