形变配准算法在肺癌自适应放疗中的应用研究

doi:10.3760/cma.j.issn.1004-4221.2018.09.008

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Abstract

Objective To evaluate the effect of different Methodsof deformable image registration on the dose evaluation in adaptive radiotherapy for lung cancer. Methods By using Raystation Ver4.5 treatment planning system platform,two algorithms (Hybrid-and Biomechanics-based deformable image registration) and two orders (CT images before and during radiotherapy as reference images) were adopted. Four deformable image registration methods were utilized to calculate the accumulative dose. Eleven patients of lung cancer received adaptive radiotherapy for 35.0-61.6 Gy were recruited. The mean doses of lung,heart and GTV and the D₉₈ and D₂ of GTV were statistically compared using four methods. Results With the four deformable image registration methods,the standard deviation of the mean lung dose of 11 lung cancer patients was ranged from 0.07 to 0.70 Gy,0.01 to 0.79 Gy for the mean heart dose,0.01 to 2.23 Gy for the mean GTV dose,0.02 to 6.51 Gy for the D₉₈ of GTV and 0.01 to 0.97 Gy for the D₂ of GTV,respectively. Conclusion The selection of deformable image registration method causes uncertainty to the calculation of accumulative dose during adaptive radiotherapy for lung cancer.

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	Articles by authors
	Bai Xue
	Hou Qing
	Wang Binbing
	Feng Wei
	Wang Shengye

Key words： Deformable image registration Lung neoplasms adaptive radiotherapy

Received: 15 May 2017

Fund:

State key R& D Program (2016YFC0105103);Zhejiang Medical and Health Science and Technology Project (2017PY013)

Corresponding Authors: Hou Qing,Email:qhou@scu.edu.cn

Cite this article:

Bai Xue,Hou Qing,Wang Binbing et al. Application of deformable image registration in adaptive radiotherapy for lung cancer[J]. Chinese Journal of Radiation Oncology, 2018, 27(9): 825-829.

URL:

http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2018.09.008 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2018/V27/I9/825

[1] 余光伟,王连聪,朱小杨,等.非小细胞肺癌三维适形放疗期间肿瘤体积变化分析[J].中华放射医学与防护杂志,2010,30(4):445-447.
Yu GW,Wang LC,Zhu XD,et al. Analysis of tumor volume changes during three-dimensional conformal radiotherapy for non-small cell lung cancer[J].Chin J Radiol Protect,2010,30(4):445-447.
[2] 刘咏梅,丁振宇,钟仁明,et al.非小细胞肺癌放疗过程中肿瘤体积变化的动态观察及临床分析[J].华西医学,2013(2):167-171.DOI:10.7507/1002-0179.20130055.
Liu YM,Ding ZY,Zhong RM,et al. Dynamic observation andanalysis of tumor volume changes during radiotherapy for non-small cell lung cancer[J].West China Med J,2013(2):167-171.DOI:10.7507/1002-0179.20130055.
[3] 尚凯,迟子锋,王军.自适应放疗研究进展[J].中华放射肿瘤学杂志,2013,22(6):505-508.DOI:10.3760/cma.j.issn.1004-4221.2013.06.023.
Shang K,Chi ZF,Wang J.Review of resaerch progress in adaptive radiotherapy[J].Chin J Radiat Oncol, 2013,22(6):505-508.DOI:10.3760/cma.j.issn.1004-4221.2013.06.023.
[4] 江波,陈杰,张达光,等.自适应放疗研究现状及进展[J].中华放射医学与防护杂志,2014,34(1).73-76.DOI:10.3760/cma.j.issn.0254-5098.2014.01.019.
Jiang B,Chen J,Zhang DG,et al. Research status and progress of adaptive radiotherapy[J].Chin J Radiol Protect,2014,34(1).73-76.DOI:10.3760/cma.j.issn.0254-5098.2014.01.019.
[5] Yan D,Vicini F,Wong J,et al. Adaptive radiation therapy[J].Phys Med Biol,1997,42(1):123-132.DOI:10.1088/0031-9155/42/1/008.
[6] Sonke JJ,Belderbos J.Adaptive radiotherapy for lung cancer[J].Semin Radiat Oncol,2010,20(2):94-106.DOI:10.1016/j.semradonc.2009.11.003.
[7] Kataria T,Gupta D,Bisht SS,et al. Adaptive radiotherapy in lung cancer:dosimetric benefits and clinical outcome[J].Br J Radiol,2014,87(1038):20130643.DOI:10.1259/bjr.20130643.
[8] Velec M,Moseley JL,Eccles CL,et al. Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration[J].Int J Radiat Oncol Biol Phys,2011,80(1):265-272.DOI:10.1016/j.ijrobp.2010.05.023.
[9] Nelli FE,Harwood JR.A method for assessing the dosimetric consistency of single phase 4DCT dose accumulation based on deforming image registration[J].Phys Med,2016,32:275-275.DOI:10.1016/j.ejmp.2016.07.606.
[10] Andersen ES,Muren LP,Sørensen TS,et al. Bladder dose accumulation based on a biomechanical deformable image registration algorithm in volumetric modulated arc therapy for prostate cancer[J].Phys Med Biol,2012,57(21):7089-7100.DOI:10.1088/0031-9155/57/21/7089.
[11] Andronache A,Von-Siebenthal M,G,Cattin P.Non-rigid registration of multi-modal images using both mutual information and cross-correlation[J].Med Image Anal,2008,12(1):3-15.DOI:10.1016/j.media.2007.06.005.
[12] Weistrand O,Svensson S.The ANACONDA algorithm for deformable image registration in radiotherapy[J].Med Phys,2015,42(1):40-53.DOI:10.1118/1.4894702.
[13] Brock KK,Sharpe MB,Dawson LA,et al. Accuracy of finite element model-based multi-organ deformable image registration[J].Med Phys,2005,32(6):1647-1659.DOI:10.1118/1.1915012.
[14] Kessler ML.Image registration and data fusion in radiation therapy[J].Br J Radiol,2006,79(1(special_issue_1)):83-112.DOI:10.1259/bjr/70617164.
[15] Guckenberger M,Baier K,Richter A,et al. Evalution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)[J].Radiat Oncol,2009,4(1):68-81.DOI:10.1186/1748-717X-4-68.
[16] Hardcastle N,Elmpt WV,Ruysscher DD,et al. Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy[J].Radiat Oncol,2013,8(1):243-250.DOI:10.1186/1748-717X-8-243.
[17] Cunliffe AR,White B,Justusson J,et al. Comparison of two deformable registration algorithms in the presence of radiologic change between serial lung ct scans[J].J Digit Imag,2015,28(6):755-760.DOI:10.1007/s10278-015-9789-1.
[18] Veiga C,Lourenço AM,Mouinuddin S,et al. Toward adaptive radiotherapy for head and neck patients:Uncertainties in dose warping due to the choice of deformable registration algorithm[J].Med Phys,2015,42(2):760-769.DOI:10.1118/1.4905050.
[19] Salguero FJ,Saleh-Sayah NK,Yan C,et al. Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping[J].Med Phys,2011,38(1):343-353.DOI:10.1118/1.3528201.
[20] Cunliffe AR,Al-Hallaq HA,Labby ZE,et al. Lung texture in serial thoracic CT scans:assessment of change introduced by image registration[J].Med Phys,2012,39(8):4679-4690.DOI:10.1118/1.4730505.