Reducing variability among treatment machines using knowledge‐based planning for head and neck, pancreatic, and rectal cancer
| Autor: | Aya Nakajima, Kota Fujii, Katsuyuki Sakanaka, Mitsuhiro Nakamura, Nobutaka Mukumoto, Michio Yoshimura, Ryo Ashida, Hideaki Hirashima, Kiyonao Nakamura, Takashi Mizowaki |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Knowledge based planning Colorectal cancer Knowledge Bases Planning target volume 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine multileaf collimator type medicine Arc therapy Humans Radiation Oncology Physics Radiology Nuclear Medicine and imaging Head and neck Instrumentation Radiation knowledge-based planning business.industry Rectal Neoplasms Radiotherapy Planning Computer-Assisted different treatment machine disease site Truebeam Radiotherapy Dosage knowledge‐based planning medicine.disease Multileaf collimator 030220 oncology & carcinogenesis High definition Radiology Radiotherapy Intensity-Modulated business energy |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| Popis: | Purpose This study aimed to assess dosimetric indices of RapidPlan model‐based plans for different energies (6, 8, 10, and 15 MV; 6‐ and 10‐MV flattening filter‐free), multileaf collimator (MLC) types (Millennium 120, High Definition 120, dual‐layer MLC), and disease sites (head and neck, pancreatic, and rectal cancer) and compare these parameters with those of clinical plans. Methods RapidPlan models in the Eclipse version 15.6 were used with the data of 28, 42, and 20 patients with head and neck, pancreatic, and rectal cancer, respectively. RapidPlan models of head and neck, pancreatic, and rectal cancer were created for TrueBeam STx (High Definition 120) with 6 MV, TrueBeam STx with 10‐MV flattening filter‐free, and Clinac iX (Millennium 120) with 15 MV, respectively. The models were used to create volumetric‐modulated arc therapy plans for a 10‐patient test dataset using all energy and MLC types at all disease sites. The Holm test was used to compare multiple dosimetric indices in different treatment machines and energy types. Results The dosimetric indices for planning target volume and organs at risk in RapidPlan model‐based plans were comparable to those in the clinical plan. Furthermore, no dose difference was observed among the RapidPlan models. The variability among RapidPlan models was consistent regardless of the treatment machines, MLC types, and energy. Conclusions Dosimetric indices of RapidPlan model‐based plans appear to be comparable to the ones based on clinical plans regardless of energies, MLC types, and disease sites. The results suggest that the RapidPlan model can generate treatment plans independent of the type of treatment machine. |
| Databáze: | OpenAIRE |
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