Liver motion during cone beam computed tomography guided stereotactic body radiation therapy

被引:93
|
作者
Park, Justin C. [1 ,3 ]
Park, Sung Ho [4 ]
Kim, Jong Hoon [4 ]
Yoon, Sang Min [4 ]
Song, Si Yeol [4 ]
Liu, Zhaowei [3 ]
Song, Bongyong [1 ]
Kauweloa, Kevin [1 ]
Webster, Matthew J. [1 ]
Sandhu, Ajay [1 ]
Mell, Loren K. [1 ]
Jiang, Steve B. [1 ]
Mundt, Arno J. [1 ]
Song, William Y. [1 ,2 ]
机构
[1] Univ Calif San Diego, Ctr Adv Radiotherapy Technol, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Radiat Med & Appl Sci, Rebecca & John Moores Comprehens Canc Ctr, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
[4] Univ Ulsan, Coll Med, Asan Med Ctr, Dept Radiat Oncol, Seoul 138736, South Korea
基金
新加坡国家研究基金会;
关键词
liver motion; marker tracking; CBCT; IGRT; SBRT; REAL-TIME TUMOR; TRACKING RADIOTHERAPY; FIDUCIAL MARKERS; ABDOMINAL COMPRESSION; ORGAN MOTION; SET-UP; ACCURACY; FEASIBILITY; VARIABILITY; POSITION;
D O I
10.1118/1.4754658
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Understanding motion characteristics of liver such as, interfractional and intrafractional motion variability, difference in motion within different locations in the organ, and their complex relationship with the breathing cycles are particularly important for image-guided liver SBRT. The purpose of this study was to investigate such motion characteristics based on fiducial markers tracked with the x-ray projections of the CBCT scans, taken immediately prior to the treatments. Methods: Twenty liver SBRT patients were analyzed. Each patient had three fiducial markers (2 x 5-mm gold) percutaneously implanted around the gross tumor. The prescription ranged from 2 to 8 fractions per patient. The CBCT projections data for each fraction (similar to 650 projections/scan), for each patient, were analyzed and the 2D positions of the markers were extracted using an in-house algorithm. In total, >55 000 x-ray projections were analyzed from 85 CBCT scans. From the 2D extracted positions, a 3D motion trajectory of the markers was constructed, from each CBCT scans, resulting in left-right (LR), anterior-posterior (AP), and cranio-caudal (CC) location information of the markers with >55 000 data points. The authors then analyzed the interfraction and intrafraction liver motion variability, within different locations in the organ, and as a function of the breathing cycle. The authors also compared the motion characteristics against the planning 4DCT and the RPM (TM) (Varian Medical Systems, Palo Alto, CA) breathing traces. Variations in the appropriate gating window (defined as the percent of the maximum range at which 50% of the marker positions are contained), between fractions were calculated as well. Results: The range of motion for the 20 patients were 3.0 +/- 2.0 mm, 5.1 +/- 3.1 mm, and 17.9 +/- 5.1 mm in the planning 4DCT, and 2.8 +/- 1.6 mm, 5.3 +/- 3.1 mm, and 16.5 +/- 5.7 mm in the treatment CBCT, for LR, AP, and CC directions, respectively. The range of respiratory period was 3.9 +/- 0.7 and 4.2 +/- 0.8 s during the 4DCT simulation and the CBCT scans, respectively. The authors found that breathing-induced AP and CC motions are highly correlated. That is, all markers moved cranially also moved posteriorly and vice versa, irrespective of the location. The LR motion had a more variable relationship with the AP/CC motions, and appeared random with respect to the location. That is, when the markers moved toward cranial-posterior direction, 58% of the markers moved to the patient-right, 22% of the markers moved to the patient-left, and 20% of the markers had minimal/none motion. The absolute difference in the motion magnitude between the markers, in different locations within the liver, had a positive correlation with the absolute distance between the markers (R-2 = 0.69, linear-fit). The interfractional gating window varied significantly for some patients, with the largest having 29.4%-56.4% range between fractions. Conclusions: This study analyzed the liver motion characteristics of 20 patients undergoing SBRT. A large variation in motion was observed, interfractionally and intrafractionally, and that as the distance between the markers increased, the difference in the absolute range of motion also increased. This suggests that marker(s) in closest proximity to the target be used. (C) 2012 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.4754658]
引用
收藏
页码:6431 / 6442
页数:12
相关论文
共 50 条
  • [21] Commissioning experience with cone-beam computed tomography for image-guided radiation therapy
    Lehmann, Joerg
    Perks, Julian
    Semon, Sheldon
    Harse, Rick
    Purdy, James A.
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2007, 8 (03): : 21 - 36
  • [22] Cone Beam Computed Tomography in Lung Stereotactic Ablative Radiation Therapy: Predictive Parameters of Early Response
    Alongi, F.
    Mazzola, R.
    Ricchetti, F.
    Fiorentino, A.
    Fersino, S.
    Levra, N. Giaj
    Tebano, U.
    Sicignano, G.
    Naccarato, S.
    Ruggieri, R.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : E462 - E462
  • [23] Patient-specific synthetic magnetic resonance imaging generation from cone beam computed tomography for image guidance in liver stereotactic body radiation therapy
    Zhang, Zeyu
    Jiang, Zhuoran
    Zhong, Hualiang
    Lu, Ke
    Yin, Fang-Fang
    Ren, Lei
    PRECISION RADIATION ONCOLOGY, 2022, 6 (02): : 110 - 118
  • [24] Respiration correlated cone-beam computed tomography and 4DCT for evaluating target motion in Stereotactic Lung Radiation Therapy
    Purdie, Thomas G.
    Moseley, Douglas J.
    Bissonnette, Jean-Pierre
    Sharpe, Michael B.
    Franks, Kevin
    Bezjak, Andrea
    Jaffray, David A.
    ACTA ONCOLOGICA, 2006, 45 (07) : 915 - 922
  • [25] Cone Beam Digital Tomosynthesis (CBDT): An alternative to Cone Beam Computed Tomography (CBCT) for image-guided radiation therapy
    Pang, G
    Au, P
    O'Brien, P
    Bani-Hashemi, A
    Svatos, M
    Rowlands, JA
    MEDICAL PHYSICS, 2005, 32 (06) : 2126 - 2126
  • [26] Intrafractional motion in stereotactic body radiotherapy of spinal metastases utilizing cone beam computed tomography image guidance
    Svestad, Jorund Graadal
    Ramberg, Christina
    Skar, Birgitte
    Hellebust, Taran Paulsen
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2019, 12 : 1 - 6
  • [27] Interobserver Comparison on Patient Positioning Using 4 Different Computed Tomography Datasets for Image Registration With Cone Beam Computed Tomography in Lung Stereotactic Body Radiation Therapy
    Oechsner, M.
    Chizzali, B.
    Devecka, M.
    Wilkens, J.
    Combs, S. E.
    Duma, M. N.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : E665 - E665
  • [28] Evaluation of 4D Cone Beam Computed Tomography for Target Localization in Stereotactic Body Radiation Therapy for Early Lung Cancer
    Glick, D.
    Karan, T.
    Le, K.
    Allibhai, Z.
    Taremi, M. M.
    Moseley, D. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S143 - S143
  • [29] Evaluation of the setup discrepancy between 6D ExacTrac and cone beam computed tomography in spine stereotactic body radiation therapy
    Park, Jaehyeon
    Yea, Ji Woon
    Park, Jae Won
    Oh, Se An
    PLOS ONE, 2021, 16 (05):
  • [30] Can Four Dimensional Cone Beam Computed Tomography (4DCBCT) Improve the Patient Setup for Stereotactic Body Radiation Therapy
    Huang, L.
    Papiez, L.
    Papiez, E.
    Solberg, T.
    Mao, W.
    Ding, C.
    Timmerman, R.
    MEDICAL PHYSICS, 2010, 37 (06) : 3158 - +