Literature DB >> 34168519

Impact of Intra-Fractional Motion on Dose Distributions in Lung IMRT.

Mikhail A Chetvertkov1, Oleg N Vassiliev1, Jinzhong Yang1, He C Wang1, Amy Y Liu1, Zhongxing Liao2, Radhe Mohan1.   

Abstract

AIM: To investigate the impact of intra-fractional motion on dose distribution in patients treated with intensity-modulated radiation therapy (IMRT) for lung cancer.
MATERIALS AND METHODS: Twenty patients who had undergone IMRT for non-small cell lung cancer were selected for this retrospective study. For each patient, a four-dimensional computed tomography (CT) image set was acquired and clinical treatment plans were developed using the average CT. Dose distributions were then re-calculated for each of the 10 phases of respiratory cycle and combined using deformable image registration to produce cumulative dose distributions that were compared with the clinical treatment plans.
RESULTS: Intra-fractional motion reduced planning target volume (PTV) coverage in all patients. The median reduction of PTV volume covered by the prescription isodose was 3.4%; D98 was reduced by 3.1 Gy. Changes in the mean lung dose were within ±0.7 Gy. V20 for the lung increased in most patients; the median increase was 1.6%. The dose to the spinal cord was unaffected by intra-fractional motion. The dose to the heart was slightly reduced in most patients. The median reduction in the mean heart dose was 0.22 Gy, and V30 was reduced by 2.5%.The maximum dose to the esophagus was also reduced in most patients, by 0.74 Gy, whereas V50 did not change significantly. The median number of points in which dose differences exceeded 3%/3 mm was 6.2%.
FINDINGS: Intra-fractional anatomical changes reduce PTV coverage compared to the coverage predicted by clinical treatment planning systems that use the average CT for dose calculation. Doses to organs at risk were mostly over-predicted.

Entities:  

Year:  2020        PMID: 34168519      PMCID: PMC8218928          DOI: 10.1017/s1460396919000967

Source DB:  PubMed          Journal:  J Radiother Pract        ISSN: 1460-3969


  10 in total

1.  Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques.

Authors:  Tzung-Chi Huang; Ji-An Liang; Thomas Dilling; Tung-Hsin Wu; Geoffrey Zhang
Journal:  Radiat Oncol       Date:  2010-05-29       Impact factor: 3.481

2.  Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy.

Authors:  He Wang; Lei Dong; Ming Fwu Lii; Andrew L Lee; Renaud de Crevoisier; Radhe Mohan; James D Cox; Deborah A Kuban; Rex Cheung
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-03-01       Impact factor: 7.038

3.  Estimation of the delivered patient dose in lung IMRT treatment based on deformable registration of 4D-CT data and Monte Carlo simulations.

Authors:  Stella Flampouri; Steve B Jiang; Greg C Sharp; John Wolfgang; Abhijit A Patel; Noah C Choi
Journal:  Phys Med Biol       Date:  2006-05-17       Impact factor: 3.609

4.  Patient-specific quantification of respiratory motion-induced dose uncertainty for step-and-shoot IMRT of lung cancer.

Authors:  Heng Li; Peter Park; Wei Liu; Jason Matney; Zhongxing Liao; Peter Balter; Yupeng Li; Xiaodong Zhang; Xiaoqiang Li; X Ronald Zhu
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

5.  A radiobiological analysis of the effect of 3D versus 4D image-based planning in lung cancer radiotherapy.

Authors:  Teboh Roland; Panayiotis Mavroidis; Alonso Gutierrez; Virginia Goytia; Niko Papanikolaou
Journal:  Phys Med Biol       Date:  2009-08-28       Impact factor: 3.609

6.  Four-dimensional treatment planning for stereotactic body radiotherapy.

Authors:  Matthias Guckenberger; Juergen Wilbert; Thomas Krieger; Anne Richter; Kurt Baier; Juergen Meyer; Michael Flentje
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-09-01       Impact factor: 7.038

7.  Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method.

Authors:  He Wang; Adam S Garden; Lifei Zhang; Xiong Wei; Anesa Ahamad; Deborah A Kuban; Ritsuko Komaki; Jennifer O'Daniel; Yongbin Zhang; Radhe Mohan; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-01       Impact factor: 7.038

8.  Investigation of four-dimensional (4D) Monte Carlo dose calculation in real-time tumor tracking stereotatic body radiotherapy for lung cancers.

Authors:  Mark K H Chan; Dora L W Kwong; Sherry C Y Ng; Eric K W Tam; Anthony S M Tong
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

9.  The impact of breathing motion versus heterogeneity effects in lung cancer treatment planning.

Authors:  Mihaela Rosu; Indrin J Chetty; Daniel S Tatro; Randall K Ten Haken
Journal:  Med Phys       Date:  2007-04       Impact factor: 4.071

10.  Dose calculations accounting for breathing motion in stereotactic lung radiotherapy based on 4D-CT and the internal target volume.

Authors:  Marjan A Admiraal; Danny Schuring; Coen W Hurkmans
Journal:  Radiother Oncol       Date:  2007-12-20       Impact factor: 6.280

  10 in total

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