Optimal Parameter Decision Method in VMAT for Lung Tumors with Respiratory Motions
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- Matsubayashi Fumiyasu
- Department of Radiation Therapy, Cancer Institute Hospital
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- Hashimoto Masatoshi
- Department of Radiation Therapy, Cancer Institute Hospital
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- Uehara Ryuzo
- Department of Radiation Therapy, National Cancer Center Hospital East
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- Takahashi Ryo
- Department of Radiation Therapy, Cancer Institute Hospital
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- Ito Yasushi
- Department of Radiation Therapy, Cancer Institute Hospital
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- Saotome Satoko
- Department of Radiation Therapy, Cancer Institute Hospital
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- Sekiya Yuko
- Tokyo Bay Advanced Imaging & Radiation Oncology Clinic MAKUHARI
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- Nakajima Masaru
- Department of Radiation Therapy, Cancer Institute Hospital
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- Kitamura Nozomi
- Department of Radiation Therapy, Cancer Institute Hospital
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- Sato Tomoharu
- Department of Radiation Therapy, Cancer Institute Hospital
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- Kozuka Takuyo
- Department of Radiation Oncology, Cancer Institute Hospital
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- Oguchi Masahiko
- Department of Radiation Oncology, Cancer Institute Hospital
Bibliographic Information
- Other Title
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- 呼吸性移動を伴う肺癌に対するVMAT における適切な線量計算パラメータ決定方法
- コキュウセイ イドウ オ トモナウ ハイガン ニ タイスル VMAT ニ オケル テキセツ ナ センリョウ ケイサン パラメータ ケッテイ ホウホウ
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Abstract
When performing lung cancer treatments using volumetric modulated arc therapy (VMAT) technique, dose error related to respiratory motion of tumors and multi leaf collimator (MLC) movement may occur. The dose error causes daily dose variation in multiple fractionations irradiation. The purpose of this study is to verify the influence of the respiratory motion and the MLC movement on the daily dose variation, and to confirm the feasibility of deciding robust planning parameter against the dose variation. We prepared 5 VMAT plans for imitating lung tumor in thorax dynamic phantom. Dose calculations of these plans were done taking into account the respiratory motions. We examined the relation between dose variation and two parameters that were number of respiration in an arc and MLC gap width. We presented the relationship between the dose variation and each parameters using regression analysis, and we could derive the approximation formula for estimating the dose variation using these parameters. We could estimate dose variation in another VMAT plans using the approximation formula and another plans parameters. By confirming dose variation in planning procedure using this estimation method, we may decide planning parameter taking the dose variation into account. So, we could establish the estimation method to decide adequate planning parameters in VMAT.
Journal
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- Japanese Journal of Radiological Technology
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Japanese Journal of Radiological Technology 71 (4), 301-307, 2015
Japanese Society of Radiological Technology
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Details
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- CRID
- 1390282681339365120
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- NII Article ID
- 130005064931
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- NII Book ID
- AN00197784
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- ISSN
- 18814883
- 03694305
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- NDL BIB ID
- 026377812
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- PubMed
- 25892416
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed