Literature DB >> 20831512

Investigation of respiration induced intra- and inter-fractional tumour motion using a standard Cone Beam CT.

Karina Lindberg Gottlieb1, Christian R Hansen, Olfred Hansen, Jonas Westberg, Carsten Brink.   

Abstract

BACKGROUND: To investigate whether a standard Cone beam CT (CBCT) scan can be used to determined the intra- and inter-fractional tumour motion for lung tumours that have infiltrated the mediastinum.
MATERIAL AND METHODS: This study includes 23 patients with non small cell lung cancer (NSCLC). The intra-fractional tumour motion was analysed for each patient on a 4D-CT scan as well as on three 4D-CBCT (fraction 3, 10 and 20). The 4D-CBCT was reconstructed from a standard 3D-CBCT using in-house developed software. The tumour (GTV) was delineated in the first phase of the 4D-CT. Registration of phase one from the 4D-CT and 4D-CBCT was used to copy the GTV to the CBCT scans. Hereafter the motion of the outlined GTV was tracked in the planning 4D-CT and the three 4D-CBCT using Pinnacle(®) version 8.1w (research version). Additionally, the inter-fractional tumour movement, relative to the bony structure, was obtained from the difference in tumour position between the 3D-CT and the standard 3D-CBCT.
RESULTS: It is possible to track a lung tumour with mediastinal infiltration in the 4D-CBCT scan based on a standard 3D-CBCT. The respiration motion in the 4D-CBCT is not significantly different from the result found from the initial 4D-CT. Likewise, no differences in respiration motion was found between fractions 3, 10 and 20.
CONCLUSION: This study shows that it is possible to track tumour motion for NSCLC patients with mediastinal infiltration using a standard 3D-CBCT. No change in the intra-fractional tumour motion of clinically relevance was observed during the fractionated treatment course. The inter-fractional tumour motion found underlines the importance of using daily IGRT with online match on soft tissue in order to be able to reduce treatment margins.

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Mesh:

Year:  2010        PMID: 20831512     DOI: 10.3109/0284186X.2010.498834

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


  9 in total

1.  2D/4D marker-free tumor tracking using 4D CBCT as the reference image.

Authors:  Mengjiao Wang; Gregory C Sharp; Simon Rit; Vivien Delmon; Guangzhi Wang
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2.  Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep Learning.

Authors:  Seonyeong Park; Suk Jin Lee; Elisabeth Weiss; Yuichi Motai
Journal:  IEEE J Transl Eng Health Med       Date:  2016-01-08       Impact factor: 3.316

Review 3.  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

4.  Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis.

Authors:  Sally A Kember; Vibeke N Hansen; Martin F Fast; Simeon Nill; Fiona McDonald; Merina Ahmed; Karen Thomas; Helen A McNair
Journal:  Br J Radiol       Date:  2016-04-25       Impact factor: 3.039

5.  Automatic planning of head and neck treatment plans.

Authors:  Irene Hazell; Karl Bzdusek; Prashant Kumar; Christian R Hansen; Anders Bertelsen; Jesper G Eriksen; Jørgen Johansen; Carsten Brink
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Review 6.  Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review.

Authors:  Kavitha Srinivasan; Mohammad Mohammadi; Justin Shepherd
Journal:  Pol J Radiol       Date:  2014-07-03

7.  Determining leaf trajectories for dynamic multileaf collimators with consideration of marker visibility: an algorithm study.

Authors:  Bo Zhao; Jianrong Dai
Journal:  J Radiat Res       Date:  2014-06-08       Impact factor: 2.724

8.  Inter- and intrafractional setup errors and baseline shifts of fiducial markers in patients with liver tumors receiving free-breathing postoperative radiation analyzed by cone-beam computed tomography.

Authors:  Tao Zhang; Weihu Wang; Yexiong Li; Jing Jin; Shulian Wang; Yongwen Song; Yueping Liu
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

9.  Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory-correlated CBCT data-sets.

Authors:  Sheeba Thengumpallil; Damien Racine; Jean-François Germond; Nicolas Péguret; Jean Bourhis; François Bochud; Raphaël Moeckli
Journal:  J Appl Clin Med Phys       Date:  2020-09-30       Impact factor: 2.102

  9 in total

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