Program Information
Dosimetric Verification of Metal Artifact Effects: Comparison of Dose Distributions Affected by Patient Teeth and Implants
M Lee1,2*, J Lee3,5 , J Park2,7 , H Park4 , B Lee5,6 , S Kang1,2 , S Lee1,2, T Suh1,2 , (1) Department of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea (2) Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Republic of Korea (3) Konkuk University Medical Center, Seoul, Republic of Korea (4) Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea (5) Research Institute of Health Science, Korea University, Seoul, Republic of Korea (6) Daejeon Sun Hospital, Daejeon, Republic of Korea (7) Dept. of Pediatrics and Molecular Imaging Program at Stanford, Stanford University, Stanford, USA
Presentations
SU-E-J-58 Sunday 3:00PM - 6:00PM Room: Exhibit HallPurpose: Implant-supported dentures seem particularly appropriate for the predicament of becoming edentulous and cancer patients are no exceptions. As the number of people having dental implants increased in different ages, critical dosimetric verification of metal artifact effects are required for the more accurate head and neck radiation therapy. The purpose of this study is to verify the theoretical analysis of the metal(streak and dark) artifact, and to evaluate dosimetric effect which cause by dental implants in CT images of patients with the patient teeth and implants inserted humanoid phantom.
Methods: The phantom comprises cylinder which is shaped to simulate the anatomical structures of a human head and neck. Through applying various clinical cases, made phantom which is closely allied to human. Developed phantom can verify two classes: (i)closed mouth (ii)opened mouth. RapidArc plans of 4 cases were created in the Eclipse planning system. Total dose of 2000 cGy in 10 fractions is prescribed to the whole planning target volume (PTV) using 6MV photon beams. Acuros XB (AXB) advanced dose calculation algorithm, Analytical Anisotropic Algorithm (AAA) and progressive resolution optimizer were used in dose optimization and calculation.
Results: In closed and opened mouth phantom, because dark artifacts formed extensively around the metal implants, dose variation was relatively higher than that of streak artifacts. As the PTV was delineated on the dark regions or large streak artifact regions, maximum 7.8% dose error and average 3.2% difference was observed. The averaged minimum dose to the PTV predicted by AAA was about 5.6% higher and OARs doses are also 5.2% higher compared to AXB.
Conclusion: The results of this study showed that AXB dose calculation involving high-density materials is more accurate than AAA calculation, and AXB was superior to AAA in dose predictions beyond dark artifact/air cavity portion when compared against the measurements.
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