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Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer.

Publication ,  Journal Article
Ge, H; Cai, J; Kelsey, CR; Yin, F-F
Published in: Int J Radiat Oncol Biol Phys
February 1, 2013

PURPOSE: To quantify uncertainties in delineating an internal target volume (ITV) and to understand how these uncertainties may be individually minimized for stereotactic body radiation therapy (SBRT) of early stage non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: Twenty patients with NSCLC who were undergoing SBRT were imaged with free-breathing 3-dimensional computed tomography (3DCT) and 10-phase 4-dimensional CT (4DCT) for delineating gross tumor volume (GTV)(3D) and ITV(10Phase) (ITV3). The maximum intensity projection (MIP) CT was also calculated from 10-phase 4DCT for contouring ITV(MIP) (ITV1). Then, ITV(COMB) (ITV2), ITV(10Phase+GTV3D) (ITV4), and ITV(10Phase+ITVCOMB) (ITV5) were generated by combining ITV(MIP) and GTV(3D), ITV(10phase) and GTV(3D), and ITV(10phase) and ITV(COMB), respectively. All 6 volumes (GTV(3D) and ITV1 to ITV5) were delineated in the same lung window by the same radiation oncologist. The percentage of volume difference (PVD) between any 2 different volumes was determined and was correlated to effective tumor diameter (ETD), tumor motion ranges, R(3D), and the amplitude variability of the recorded breathing signal (v) to assess their volume variations. RESULTS: The mean (range) tumor motion (R(SI), R(AP), R(ML), and R(3D)) and breathing variability (v) were 7.6 mm (2-18 mm), 4.0 mm (2-8 mm), 3.3 mm (0-7.5 mm), 9.9 mm (4.1-18.7 mm), and 0.17 (0.07-0.37), respectively. The trend of volume variation was GTV(3D)

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Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

February 1, 2013

Volume

85

Issue

2

Start / End Page

438 / 443

Location

United States

Related Subject Headings

  • Uncertainty
  • Tumor Burden
  • Tomography, X-Ray Computed
  • Respiration
  • Radiotherapy Planning, Computer-Assisted
  • Radiosurgery
  • Phantoms, Imaging
  • Oncology & Carcinogenesis
  • Movement
  • Middle Aged
 

Citation

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ICMJE
MLA
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Ge, H., Cai, J., Kelsey, C. R., & Yin, F.-F. (2013). Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer. Int J Radiat Oncol Biol Phys, 85(2), 438–443. https://doi.org/10.1016/j.ijrobp.2012.04.032
Ge, Hong, Jing Cai, Chris R. Kelsey, and Fang-Fang Yin. “Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer.Int J Radiat Oncol Biol Phys 85, no. 2 (February 1, 2013): 438–43. https://doi.org/10.1016/j.ijrobp.2012.04.032.
Ge H, Cai J, Kelsey CR, Yin F-F. Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer. Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):438–43.
Ge, Hong, et al. “Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer.Int J Radiat Oncol Biol Phys, vol. 85, no. 2, Feb. 2013, pp. 438–43. Pubmed, doi:10.1016/j.ijrobp.2012.04.032.
Ge H, Cai J, Kelsey CR, Yin F-F. Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer. Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):438–443.
Journal cover image

Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

February 1, 2013

Volume

85

Issue

2

Start / End Page

438 / 443

Location

United States

Related Subject Headings

  • Uncertainty
  • Tumor Burden
  • Tomography, X-Ray Computed
  • Respiration
  • Radiotherapy Planning, Computer-Assisted
  • Radiosurgery
  • Phantoms, Imaging
  • Oncology & Carcinogenesis
  • Movement
  • Middle Aged