Simulation of dosimetric consequences of 4D-CT-based motion margin estimation for proton radiotherapy using patient tumor motion data

被引:19
|
作者
Koybasi, Ozhan [1 ,2 ]
Mishra, Pankaj [2 ,3 ,4 ]
James, Sara St. [2 ,3 ,4 ]
Lewis, John H. [2 ,3 ,4 ]
Seco, Joao [1 ,2 ]
机构
[1] Massachusetts Gen Hosp, Dept Radiat Oncol, Boston, MA 02114 USA
[2] Harvard Univ, Sch Med, Boston, MA USA
[3] Brigham & Womens Hosp, Dept Radiat Oncol, Boston, MA 02115 USA
[4] Dana Farber Canc Inst, Boston, MA 02115 USA
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2014年 / 59卷 / 04期
关键词
four-dimensional computed tomography; internal target volume; lung tumor motion; XCAT phantom; proton radiotherapy; 4D XCAT PHANTOM; LUNG-CANCER; RESPIRATORY MOTION; TARGET VOLUME; THERAPY; TRACKING; PROJECTIONS; ALGORITHM; SIZE;
D O I
10.1088/0031-9155/59/4/853
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
For the radiation treatment of lung cancer patients, four-dimensional computed tomography (4D-CT) is a common practice used clinically to image tumor motion and subsequently determine the internal target volume (ITV) from the maximum intensity projection (MIP) images. ITV, which is derived from short pre-treatment 4D-CT scan (<6 s per couch position), may not adequately cover the extent of tumor motion during the treatment, particularly for patients that exhibit a large respiratory variability. Inaccurate tumor localization may result in under-dosage of the tumor or over-dosage of the surrounding tissues. The purpose of this study is therefore to assess the degree of tumor under-dosage in case of regular and irregular breathing for proton radiotherapy using ITV-based treatment planning. We place a spherical lesion into a modified XCAT phantom that is also capable of producing 4D images based on irregular breathing, and move the tumor according to real tumor motion data, which is acquired over multiple days by tracking gold fiducial markers implanted into the lung tumors of patients. We derive ITVs by taking the union of all tumor positions during 6 s of tumor motion in the phantom using the first day patient tumor tracking data. This is equivalent to ITVs generated clinically from cine-mode 4D-CT MIP images. The treatment plans created for different ITVs are then implemented on dynamic phantoms with tumor motion governed by real tumor tracking data from consecutive days. By comparing gross tumor volume dose distribution on days of 'treatment' with the ITV dose distribution, we evaluate the deviation of the actually delivered dose from the predicted dose. Our results have shown that the proton treatment planning on ITV derived from pre-treatment cine-mode 4D-CT can result in under-dosage (dose covering 95% of volume) of the tumor by up to 25.7% over 3 min of treatment for the patient with irregular respiratory motion. Tumor under-dosage is less significant for the patient with relatively regular breathing. We have demonstrated that proton therapy using the pre-treatment 4D-CT based ITV method can lead to significant under-dosage of the tumor, highlighting the need for daily customization to generate a target volume that represents tumor positions during the treatment more accurately.
引用
收藏
页码:853 / 867
页数:15
相关论文
共 50 条
  • [1] The Dosimetric Consequences of 4DCT-Based Motion Margin Estimation for Proton Radiotherapy
    Koybasi, O.
    Lewis, J.
    Mishra, P.
    James, S.
    Seco, J.
    MEDICAL PHYSICS, 2013, 40 (06)
  • [2] Planning lung radiotherapy using 4D CT data and a motion model
    Colgan, R.
    McClelland, J.
    McQuaid, D.
    Evans, P. M.
    Hawkes, D.
    Brock, J.
    Landau, D.
    Webb, S.
    PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (20): : 5815 - 5830
  • [3] Dosimetric investigation of proton therapy on CT-based patient data using Monte Carlo simulation
    Chongsan, T.
    Liamsuwan, T.
    Tangboonduangjit, P.
    13TH SOUTH-EAST ASIAN CONGRESS OF MEDICAL PHYSICS 2015 (SEACOMP), 2016, 694
  • [4] Dosimetric Evaluation of Pancreas Motion Effects for SBRT using 4D-CT Based Planning
    Reding, A. K.
    Haley, M.
    Ajlouni, M.
    Chetty, I.
    Nurushev, T.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 78 (03): : S708 - S709
  • [5] Simultaneous segmentation and motion estimation in 4D-CT data using a variational approach
    Ehrhardt, Jan
    Schmidt-Richberg, Alexander
    Handels, Heinz
    MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914
  • [6] On the Estimation of Error in 4D Imaging in Regard to Radiotherapy Tumor Motion Management
    Ehler, E.
    Tome, W.
    MEDICAL PHYSICS, 2009, 36 (06)
  • [7] Attenuation and Motion Correction of 4D-PET Images Using Simultaneous Motion Estimation and Image Reconstruction (SMEIR) of 4D-CT Data
    Kalantari, F.
    Zhong, Y.
    Wang, J.
    MEDICAL PHYSICS, 2017, 44 (06) : 3250 - 3250
  • [8] Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model
    Marx, Mirko
    Ehrhardt, Jan
    Werner, Rene
    Schlemmer, Heinz-Peter
    Handels, Heinz
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2014, 9 (03) : 401 - 409
  • [9] Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model
    Mirko Marx
    Jan Ehrhardt
    René Werner
    Heinz-Peter Schlemmer
    Heinz Handels
    International Journal of Computer Assisted Radiology and Surgery, 2014, 9 : 401 - 409
  • [10] Volume Registration Based on 3-D Phase Correlation for Tumor Motion Estimation in 4-D CT
    Zhang, Xiaoyong
    Homma, Noriyasu
    Abe, Makoto
    Sugita, Norihiro
    Takai, Yoshihiro
    Narita, Yuichiro
    Yoshizawa, Makoto
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 5095 - 5098