Literature DB >> 21158293

Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning.

David A Zamora1, Adam C Riegel, Xiaojun Sun, Peter Balter, George Starkschall, Osama Mawlawi, Tinsu Pan.   

Abstract

PURPOSE: Four-dimensional computed tomography (4D-CT) is commonly used to account for respiratory motion of target volumes in radiotherapy to the thorax. From the 4D-CT acquisition, a maximum-intensity projection (MIP) image set can be created and used to help define the tumor motion envelope or the internal gross tumor volume (iGTV). The purpose of this study was to quantify the differences in automatically contoured target volumes for usage in the delivery of stereotactic body radiation therapy using MIP data sets generated from one of the four methods: (1) 4D-CT phase-binned (PB) based on retrospective phase calculations, (2) 4D-CT phase-corrected phase-binned (PC-PB) based on motion extrema, (3) 4D-CT amplitude-binned (AB), and (4) cine CT built from all available images.
METHODS: MIP image data sets using each of the four methods were generated for a cohort of 28 patients who had prior thoracic 4D-CT scans that exhibited lung tumor motion of at least 1 cm. Each MIP image set was automatically contoured on commercial radiation treatment planning system. Margins were added to the iGTV to observe differences in the final simulated planning target volumes (PTVs).
RESULTS: For all patients, the iGTV measured on the MIP generated from the entire cine CT data set (iGTVcine) was the largest. Expressed as a percentage of iGTVcine, 4D-CT iGTV (all sorting methods) ranged from 83.8% to 99.1%, representing differences in the absolute volume ranging from 0.02 to 4.20 cm3; the largest average and range of 4D-CT iGTV measurements was from the PC-PB data set. Expressed as a percentage of PTVcine (expansions applied to iGTVeine), the 4D-CT PTV ranged from 87.6% to 99.6%, representing differences in the absolute volume ranging from 0.08 to 7.42 cm3. Regions of the measured respiratory waveform corresponding to a rapid change of phase or amplitude showed an increased susceptibility to the selection of identical images for adjacent bins. Duplicate image selection was most common in the AB implementation, followed by the PC-PB method. The authors also found that the image associated with the minimum amplitude measurement did not always correlate with the image that showed maximum tumor motion extent.
CONCLUSIONS: The authors identified cases in which the MIP generated from a 4D-CT sorting process under-represented the iGTV by more than 10% or up to 4.2 cm3 when compared to the iGTVcine. They suggest utilization of a MIP generated from the full cine CT data set to ensure maximum inclusive tumor extent.

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Year:  2010        PMID: 21158293      PMCID: PMC3810265          DOI: 10.1118/1.3504605

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


  30 in total

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Authors:  P J Keall; V R Kini; S S Vedam; R Mohan
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2.  Multislice helical CT: image temporal resolution.

Authors:  H Hui; T Pan; Y Shen
Journal:  IEEE Trans Med Imaging       Date:  2000-05       Impact factor: 10.048

3.  Acquiring 4D thoracic CT scans using a multislice helical method.

Authors:  P J Keall; G Starkschall; H Shukla; K M Forster; V Ortiz; C W Stevens; S S Vedam; R George; T Guerrero; R Mohan
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4.  4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT.

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Journal:  Med Phys       Date:  2004-02       Impact factor: 4.071

5.  Use of maximum intensity projections (MIP) for target volume generation in 4DCT scans for lung cancer.

Authors:  René W M Underberg; Frank J Lagerwaard; Ben J Slotman; Johan P Cuijpers; Suresh Senan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-09-01       Impact factor: 7.038

6.  Improvement of the cine-CT based 4D-CT imaging.

Authors:  Tinsu Pan; Xiaojun Sun; Dershan Luo
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

7.  Relation of external surface to internal tumor motion studied with cine CT.

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Journal:  Med Phys       Date:  2006-09       Impact factor: 4.071

8.  Phase and amplitude binning for 4D-CT imaging.

Authors:  A F Abdelnour; S A Nehmeh; T Pan; J L Humm; P Vernon; H Schöder; K E Rosenzweig; G S Mageras; E Yorke; S M Larson; Y E Erdi
Journal:  Phys Med Biol       Date:  2007-05-18       Impact factor: 3.609

9.  Quantitative assessment of four-dimensional computed tomography image acquisition quality.

Authors:  George Starkschall; Neil Desai; Peter Balter; Karl Prado; Dershan Luo; Dianna Cody; Tinsu Pan
Journal:  J Appl Clin Med Phys       Date:  2007-06-29       Impact factor: 2.102

10.  Phase versus amplitude sorting of 4D-CT data.

Authors:  Nicole Wink; Christoph Panknin; Timothy D Solberg
Journal:  J Appl Clin Med Phys       Date:  2006-02-15       Impact factor: 2.102

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4.  Is Maximum Intensity Projection an Optimal Approach for Internal Target Volume Delineation in Lung Cancer?

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