Literature DB >> 19854385

The use of 4DCT to reduce lung dose: a dosimetric analysis.

Fazal Khan1, Glenn Bell, Jacob Antony, Matt Palmer, Peter Balter, Kara Bucci, Melissa Jane Chapman.   

Abstract

Dosimetric studies on respiratory movement suggest several advantages toward the use of 4-dimensional computed tomography (4DCT) in radiation treatment planning. 4DCT is a method to obtain a series of CT scans each representing a different respiratory phase. The use of 4DCT has provided substantial information on tumor movement in the lung, allowing for the creation of custom planning margins explicitly including respiratory motion. These custom motion margins may result in an increase in the amount of normal lung in the field; however, it is believed less normal lung is irradiated than if generic motion margins were used. Clinical data regarding dose to normal lung by using 4DCT remain rather limited. Thus, a study presenting figures on the change in normal lung dose between planned free breathing CT and 4DCT cases would be useful to the dosimetry community. We have generated plans comparing fast spiral CT and 4DCT in regard to tumor coverage and the resulting dose to normal lung for the clinical target volume (CTV) and planning target volume (PTV) expansions used at our institution. These data were analyzed for free breathing and 4D plans of 6 lung cancer patients using intensity modulated radiation therapy (IMRT). We compared doses to normal lung tissue between free breathing and 4DCT plans.

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Year:  2009        PMID: 19854385     DOI: 10.1016/j.meddos.2008.11.005

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  6 in total

1.  Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.

Authors:  Guorong Wu; Jun Lian; Dinggang Shen
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

2.  Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.

Authors:  Guorong Wu; Qian Wang; Jun Lian; Dinggang Shen
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

3.  Non-local means resolution enhancement of lung 4D-CT data.

Authors:  Yu Zhang; Guorong Wu; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

4.  Few-shot learning for deformable image registration in 4DCT images.

Authors:  Weicheng Chi; Zhiming Xiang; Fen Guo
Journal:  Br J Radiol       Date:  2021-10-18       Impact factor: 3.039

5.  Analysis of the advantage of individual PTVs defined on axial 3D CT and 4D CT images for liver cancer.

Authors:  Fengxiang Li; Jianbin Li; Jun Xing; Yingjie Zhang; Tingyong Fan; Min Xu; Dongping Shang; Tonghai Liu; Jinlong Song
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

Review 6.  [Interstitial lung disease associated with lung cancer treatment].

Authors:  Zhiwei Cao; Shi Jin; Yan Yu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2013-05
  6 in total

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