神戸大学附属図書館デジタルアーカイブ
入力補助
English
カテゴリ
学内刊行物
ランキング
アクセスランキング
ダウンロードランキング
https://hdl.handle.net/20.500.14094/90007286
このアイテムのアクセス数:
24
件
(
2024-03-28
20:08 集計
)
閲覧可能ファイル
ファイル
フォーマット
サイズ
閲覧回数
説明
90007286 (fulltext)
pdf
808 KB
10
メタデータ
ファイル出力
メタデータID
90007286
アクセス権
open access
出版タイプ
Accepted Manuscript
タイトル
Clinical log data analysis for assessing the accuracy of the CyberKnife fiducial-free lung tumor tracking system
著者
Nakayama, Masao ; Nishimura, Hideki ; Mayahara, Hiroshi ; Nakamura, Masaki ; Uehara, Kazuyuki ; Tsudou, Shinji ; Harada, Aya ; Akasaka, Hiroaki ; Sasaki, Ryohei
著者名
Nakayama, Masao
著者名
Nishimura, Hideki
著者名
Mayahara, Hiroshi
著者名
Nakamura, Masaki
著者名
Uehara, Kazuyuki
著者名
Tsudou, Shinji
著者名
Harada, Aya
著者ID
A1164
研究者ID
1000020707161
著者名
Akasaka, Hiroaki
赤坂, 浩亮
アカサカ, ヒロアキ
所属機関名
医学部附属病院 放射線腫瘍科
著者ID
A1363
研究者ID
1000030346267
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/profile/ja.f5e9afd9968a7ac8520e17560c007669.html
著者名
Sasaki, Ryohei
佐々木, 良平
ササキ, リョウヘイ
所属機関名
医学部附属病院
収録物名
Practical Radiation Oncology
巻(号)
8(2)
ページ
e63-e70
出版者
Elsevier
刊行日
2018
公開日
2020-07-21
抄録
Purpose: The CyberKnife Xsight Lung Tracking (XLT) and 1-View tracking systems can synchronize beam targeting to a visible lung tumor with respiratory motion during irradiation without requiring internal fiducial markers. The systems use a correlation model that relates external marker positions to tumor positions as well as a prediction model that predicts the target’s future position. In this study, the correlation and prediction model uncertainties related to the CyberKnife fiducial-free tumor tracking system were evaluated using clinical log data. Methods and materials: Data from 211 fractions in 42 patients with lung tumors were analyzed. Log files produced by the CyberKnife Synchrony system were acquired after each treatment; the mean correlation and prediction errors for each patient were calculated. Additionally, we examined the tracking tumor-related parameters and analyzed the relationships between the model errors and tracking tumor-related parameters. Results: The overall means ± standard deviations (SDs) of the correlation errors were 0.70 ± 0.43 mm, 0.36 ± 0.16 mm, 0.44 ± 0.22 mm, and 0.95 ± 0.43 mm for the superoinferior (SI), left-right (LR), anteroposterior (AP), and radial directions, respectively. The overall means ± SDs of the prediction errors were 0.13 ± 0.11 mm, 0.03 ± 0.02 mm, 0.03 ± 0.02 mm, and 0.14 ± 0.11 mm for the SI, LR, AP, and radial directions, respectively. There were no significant differences in these errors between the XLT and 1-View tracking methods. The tumor motion amplitude was moderately associated with the correlation error and strongly related to the prediction error in the SI and radial directions. Conclusions: Clinical log data analysis can be used to determine the necessary margin sizes in treatment plans to compensate for correlation and prediction errors in the CyberKnife fiducial-free lung tumor tracking system. The tumor motion amplitude may facilitate margin determination.
カテゴリ
医学部附属病院
学術雑誌論文
権利
© 2017 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
詳細を表示
資源タイプ
journal article
言語
English (英語)
ISSN
1879-8500
OPACで所蔵を検索
CiNiiで学外所蔵を検索
関連情報
DOI
https://doi.org/10.1016/j.prro.2017.10.014
ホームへ戻る