Analytical Platform Design of Normal Tissue Complication Probability and Tumor Control Probability for Treatment Planning in Radiotherapy

• Main Authors: Shih-Wei Chen, 陳仕偉
• Other Authors: Tsair-Fwu Lee
• Format: Others
• Language: zh-TW
• Published: 102
• Online Access: http://ndltd.ncl.edu.tw/handle/h59j89

碩士 === 國立高雄應用科技大學 === 電子工程系 === 101 === Purpose: To improve the investigation processing efficiency for the radiation therapy treatment planning evaluation for the normal tissue complication probability (NTCP) and tumor control probability (TCP) in different models, we construct an innovative platform that provides a more convenient environment for TCP/NTCP study. Materials and methods: We developed a multi-functional platform by using MatLab software that could be run in a personal computer. The platform includes two parts: dose-volume histogram (DVH) plot and NTCP/TCP calculation. DVH data can be imported by the user from a treatment planning system (TPS) into the platform and then to proceed DVH plotting, NTCP/TCP calculation, and get the research information friendly. For the platform performance validation, a total of 32 IMRT plans for patients with nasopharyngeal cancer were selected to test. Results: We compared the processing results from platform and TPS itself. The validation result shows that the accuracy is clinically acceptable. For DVH evaluation, the difference is ± 0.00% by manual review; while the system difference is ± 1.2% for the TPS. For NTCP/TCP and EUD evaluation, the difference is ± 0.64% for manual review; while the difference is ± 1.51% for the TPS. Conclusion: We found that our radiotherapy analytic platform is user friendly, easy to use, and can provide a convenient and cheaper environment for TCP/NTCP study. Whether such superiority in planning investigation could transfer into clinical advantages needs further study.