Optimizing Radiation Oncology Treatment Planning Efficiency
According to Michael Dattoli , optimized radiotherapy planning is critical for achieving the best possible outcomes in cancer treatment. By comparing radiation oncology treatment plans to predefined clinical goals, Nelms et al. quantify the quality of radiation oncology treatment plans. In general, developing high-quality treatment plans is a slow, iterative process that requires manual updating of all parameters between optimizations. The following article discusses several strategies for enhancing the quality of radiation oncology treatment plans. One method is to optimize the radiation dose to each voxel in a plan by using mathematical models of the tumor. Physicians can use this algorithm to determine the optimal dose and treatment plan for each patient. These algorithms, however, are only as good as the tools they employ. For instance, an optimizer cannot optimize voxels that are outside the target volume of the patient. As a result, the dose of radiation delivered to these voxels