Literature DB >> 20831511

Evaluation of setup accuracy for NSCLC patients; studying the impact of different types of cone-beam CT matches based on whole thorax, columna vertebralis, and GTV.

Wiviann Ottosson1, Mariwan Baker, Mattias Hedman, Claus F Behrens, David Sjöström.   

Abstract

PURPOSE: The aim of this study is to evaluate the patient setup accuracy by investigating the impact of different types of CBCT matches, performed with 3 (translations only) or 6 (including rotations) degrees-of-freedom (DOF). The purpose is also to calculate and compare CTV to PTV margins based on the various CBCT matches, setups using 2D kV planar imaging or setups using skin markers only (non-IGRT).
MATERIAL AND METHODS: Setup images from 16 NSCLC patients with weekly CBCT and daily 2D kV planar imaging were analyzed retrospectively. The CBCT matches were based on the columna vertebralis (CV), the whole thorax (WT) and the soft tissue (ST) delineated GTV, where the ST match was chosen as reference. Thus the translational and rotational shifts in three dimensions were assessed. Finally, setup margins were calculated using van Herk's margin recipe.
RESULTS: For 80% of the investigated 3 DOF/2D kV CV setups, the translational shifts were within [-3, 2] mm for all three directions. Corresponding values for the 6 DOF/non-IGRT CV and the 6 DOF/non-IGRT ST matches were [-5, 8] mm. Furthermore, 80% of all setups were within ± 2° for pitch-, roll- and yaw-rotations, and none exceeded 5°. The calculated margins for non-IGRT, about 10 mm, were reduced to approximately 4 mm, regardless of using IGRT setup by CBCT or 2D kV imaging on CV. However, if using WT CBCT setup, the margin in LNG direction was slightly larger, approximately 6 mm.
CONCLUSION: IGRT for NSCLC is an essential tool for margin reduction, since patient setups based on IGRT leads to approximately half the margin sizes compared to non-IGRT setups. Both CBCT and 2D kV planar imaging yields approximately the same margins for CV/ST matches. The magnitudes of the patient rotations were <5°.

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Mesh:

Year:  2010        PMID: 20831511     DOI: 10.3109/0284186X.2010.500303

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  11 in total

Review 1.  Image-guided radiotherapy and motion management in lung cancer.

Authors:  S S Korreman
Journal:  Br J Radiol       Date:  2015-05-08       Impact factor: 3.039

2.  Dosimetric and geometric evaluation of the use of deformable image registration in adaptive intensity-modulated radiotherapy for head-and-neck cancer.

Authors:  R B Eiland; C Maare; D Sjöström; E Samsøe; C F Behrens
Journal:  J Radiat Res       Date:  2014-06-06       Impact factor: 2.724

3.  A parameterized model for mean urinary inflow rate and its preliminary application in radiotherapy for cervical cancer.

Authors:  Fu Jin; Huan-Li Luo; Juan Zhou; Ding-Yi Yang; Li Yin; Xiao-Qing Yang; Ya-Nan He; Xian-Feng Liu; Da Qiu; Ming-Song Zhong; Han Yang; Chao Li; Qi-Cheng Li; Guang-Lei He; Ying Wang
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

4.  Assessment of setup uncertainties for various tumor sites when using daily CBCT for more than 2200 VMAT treatments.

Authors:  Young-Kee Oh; Jong-Geun Baek; Ok-Bae Kim; Jin-Hee Kim
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

5.  Evaluation of techniques for slice sensitivity profile measurement and analysis.

Authors:  Travis C Greene; X John Rong
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

6.  Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors.

Authors:  Xiaohui Cao; Ming Liu; Fushan Zhai; Nan Li; Chaoen Bao; Yinliang Liu; Gang Chen
Journal:  BMC Med Imaging       Date:  2019-05-31       Impact factor: 1.930

7.  Comparative evaluation of image registration methods with different interest regions in lung cancer radiotherapy.

Authors:  Xiaohui Cao; Ming Liu; Fushan Zhai; Nan Li; Feng Li; Chaoen Bao; Yinliang Liu; Gang Chen
Journal:  BMC Med Imaging       Date:  2019-12-26       Impact factor: 1.930

8.  Investigation of the change in marker geometry during respiration motion: a preliminary study for dynamic-multi-leaf real-time tumor tracking.

Authors:  Rie Yamazaki; Seiko Nishioka; Hiroyuki Date; Hiroki Shirato; Takao Koike; Takeshi Nishioka
Journal:  Radiat Oncol       Date:  2012-12-18       Impact factor: 3.481

9.  The effect of image-guided radiation therapy on the margin between the clinical target volume and planning target volume in lung cancer.

Authors:  Jun Liang; Minghui Li; Tao Zhang; Wei Han; Dongfu Chen; Zhouguang Hui; Jima Lv; Zhong Zhang; Yin Zhang; Liansheng Zhang; Rong Zheng; Jianrong Dai; Luhua Wang
Journal:  J Med Radiat Sci       Date:  2014-02-26

10.  A Noninvasive Body Setup Method for Radiotherapy by Using a Multimodal Image Fusion Technique.

Authors:  Jie Zhang; Ying Chen; Yunxia Chen; Chenchen Wang; Jing Cai; Kaiyue Chu; Jianhua Jin; Yun Ge; Xiaolin Huang; Yue Guan; Weifeng Li
Journal:  Technol Cancer Res Treat       Date:  2017-11-06
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