Literature DB >> 25735283

Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: insights from lung tumor patients treated with robotic radiosurgery.

Martina Descovich1, Christopher McGuinness1, Danita Kannarunimit1, Josephine Chen1, Dilini Pinnaduwage1, Jean Pouliot1, Norbert Kased1, Alexander R Gottschalk1, Sue S Yom1.   

Abstract

PURPOSE: A unique capability of the CyberKnife system is dynamic target tracking. However, not all patients are eligible for this approach. Rather, their tumors are tracked statically using the vertebral column for alignment. When using static tracking, the internal target volume (ITV) is delineated on the four-dimensional (4D) CT scan and an additional margin is added to account for setup uncertainty [planning target volume (PTV)]. Treatment margins are difficult to estimate due to unpredictable variations in tumor motion and respiratory pattern during the course of treatment. The inability to track the target and detect changes in respiratory characteristics might result in geographic misses and local tumor recurrences. The purpose of this study is to develop a method to evaluate the adequacy of ITV-to-PTV margins for patients treated in this manner.
METHODS: Data from 24 patients with lesions in the upper lobe (n = 12), middle lobe (n = 3), and lower lobe (n = 9) were included in this study. Each patient was treated with dynamic tracking and underwent 4DCT scanning at the time of simulation. Data including the 3D coordinates of the target over the course of treatment were extracted from the treatment log files and used to determine actual target motion in the superior-inferior (S-I), anterior-posterior (A-P), and left-right (L-R) directions. Different approaches were used to calculate anisotropic and isotropic margins, assuming that the tumor moves as a rigid body. Anisotropic margins were calculated by separating target motion in the three anatomical directions, and a uniform margin was calculated by shifting the gross tumor volume contours in the 3D space and by computing the percentage of overlap with the PTV. The analysis was validated by means of a theoretical formulation.
RESULTS: The three methods provided consistent results. A uniform margin of 4.5 mm around the ITV was necessary to assure 95% target coverage for 95% of the fractions included in the analysis. In the case of anisotropic margins, the expansion required in the S-I direction was larger (8.1 mm) than those in the L-R (4.9 mm) and A-P (4.5 mm) directions. This margin accounts for variations of target position within the same treatment fraction.
CONCLUSIONS: The use of bony alignment for CyberKnife lung stereotactic body radiation therapy requires careful considerations, in terms of the potential for increased toxicity or local miss. Our method could be used by other centers to determine the adequacy of ITV-to-PTV margins for their patients.

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Year:  2015        PMID: 25735283     DOI: 10.1118/1.4907956

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  12 in total

1.  A phase I/II study on stereotactic body radiotherapy with real-time tumor tracking using CyberKnife based on the Monte Carlo algorithm for lung tumors.

Authors:  Hiromitsu Iwata; Satoshi Ishikura; Taro Murai; Michio Iwabuchi; Mitsuhiro Inoue; Koshi Tatewaki; Seiji Ohta; Naoki Yokota; Yuta Shibamoto
Journal:  Int J Clin Oncol       Date:  2017-04-20       Impact factor: 3.402

2.  Evaluating the four-dimensional cone beam computed tomography with varying gantry rotation speed.

Authors:  S A Yoganathan; K J Maria Das; Shajahan Mohamed Ali; Arpita Agarwal; Surendra P Mishra; Shaleen Kumar
Journal:  Br J Radiol       Date:  2016-02-26       Impact factor: 3.039

3.  Tracking, gating, free-breathing, which technique to use for lung stereotactic treatments? A dosimetric comparison.

Authors:  Jessica Prunaretty; Pierre Boisselier; Norbert Aillères; Olivier Riou; Sebastien Simeon; Ludovic Bedos; David Azria; Pascal Fenoglietto
Journal:  Rep Pract Oncol Radiother       Date:  2018-11-24

4.  Cyberknife® stereotactic radiation therapy for stage I lung cancer and pulmonary metastases: evaluation of local control at 24 months.

Authors:  Myriam Khadige; Julia Salleron; Vincent Marchesi; Guillaume Oldrini; Didier Peiffert; Véronique Beckendorf
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

5.  4DCT and CBCT based PTV margin in Stereotactic Body Radiotherapy(SBRT) of non-small cell lung tumor adhered to chest wall or diaphragm.

Authors:  Yi Li; Jing-Lu Ma; Xin Chen; Feng-Wen Tang; Xiao-Zhi Zhang
Journal:  Radiat Oncol       Date:  2016-11-15       Impact factor: 3.481

6.  Evaluation of the intra- and interfractional tumor motion and variability by fiducial-based real-time tracking in liver stereotactic body radiation therapy.

Authors:  Zhiwen Liang; Hongyuan Liu; Jun Xue; Bin Hu; Bin Zhu; Qin Li; Sheng Zhang; Gang Wu
Journal:  J Appl Clin Med Phys       Date:  2018-02-28       Impact factor: 2.102

7.  Influence of respiratory motion management technique on radiation pneumonitis risk with robotic stereotactic body radiation therapy.

Authors:  Christopher H Chapman; Christopher McGuinness; Alexander R Gottschalk; Sue S Yom; Adam A Garsa; Mekhail Anwar; Steve E Braunstein; Atchar Sudhyadhom; Paul Keall; Martina Descovich
Journal:  J Appl Clin Med Phys       Date:  2018-04-26       Impact factor: 2.102

8.  Dosimetric Effect of Intrafraction Tumor Motion in Lung Stereotactic Body Radiotherapy Using CyberKnife Static Tracking System.

Authors:  Yu Chang; Hong-Yuan Liu; Zhi-Wen Liang; Xin Nie; Jing Yang; Gang Liu; Qin Li; Zhi-Yong Yang
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

9.  Target margin design for real-time lung tumor tracking stereotactic body radiation therapy using CyberKnife Xsight Lung Tracking System.

Authors:  Zhi-Yong Yang; Yu Chang; Hong-Yuan Liu; Gang Liu; Qin Li
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

10.  Clinical Results of Mean GTV Dose Optimized Robotic-Guided Stereotactic Body Radiation Therapy for Lung Tumors.

Authors:  Rene Baumann; Mark K H Chan; Florian Pyschny; Susanne Stera; Bettina Malzkuhn; Stefan Wurster; Stefan Huttenlocher; Marcella Szücs; Detlef Imhoff; Christian Keller; Panagiotis Balermpas; Dirk Rades; Claus Rödel; Jürgen Dunst; Guido Hildebrandt; Oliver Blanck
Journal:  Front Oncol       Date:  2018-05-17       Impact factor: 6.244

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