Use of 3D printers to create a patient‐specific 3D bolus for external beam therapy
Autor: | An Ting Hsia, Jamie Baker, Sarah Burleson, Z Xu |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Materials science
Imaging phantom 3d printer electron conformal therapy Bolus (medicine) Radiation Protection Hounsfield scale Radiation Oncology Physics Humans Radiology Nuclear Medicine and imaging 3D printer compensator Radiation treatment planning Computer Peripherals Instrumentation Radiation business.industry Absorption Radiation Radiotherapy Dosage Equipment Design Patient specific Physical density bolus Treatment delivery Printing Three-Dimensional Radiotherapy Conformal Nuclear medicine business Biomedical engineering |
Zdroj: | Journal of Applied Clinical Medical Physics |
ISSN: | 1526-9914 |
Popis: | The purpose of this paper is to demonstrate that an inexpensive 3D printer can be used to manufacture patient‐specific bolus for external beam therapy, and to show we can accurately model this printed bolus in our treatment planning system for accurate treatment delivery. Percent depth‐dose measurements and tissue maximum ratios were used to determine the characteristics of the printing materials, acrylonitrile butadiene styrene and polylactic acid, as bolus material with physical density of 1.04 and 1.2 g/cm3, and electron density of 3.38×1023electrons/cm3 and 3.80×1023 electrons/cm3, respectively. Dose plane comparisons using Gafchromic EBT2 film and the RANDO phantom were used to verify accurate treatment planning. We accurately modeled a printing material in Eclipse treatment planning system, assigning it a Hounsfield unit of 260. We were also able to verify accurate treatment planning using gamma analysis for dose plane comparisons. With gamma criteria of 5% dose difference and 2 mm DTA, we were able to have 86.5% points passing, and with gamma criteria of 5% dose difference and 3 mm DTA, we were able to have 95% points passing. We were able to create a patient‐specific bolus using an inexpensive 3D printer and model it in our treatment planning system for accurate treatment delivery. PACS numbers: 87.53.Jw, 87.53.Kn, 87.56.ng |
Databáze: | OpenAIRE |
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