| Comparison of helical, maximum intensity projection (MIP), and averaged intensity (AI) 4D CT imaging for stereotactic body radiation therapy (SBRT) planning in lung cancer. | |
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MedLine Citation:
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PMID: 17113668 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND AND PURPOSE: To compare helical, MIP and AI 4D CT imaging, for the purpose of determining the best CT-based volume definition method for encompassing the mobile gross tumor volume (mGTV) within the planning target volume (PTV) for stereotactic body radiation therapy (SBRT) in stage I lung cancer. MATERIALS AND METHODS: Twenty patients with medically inoperable peripheral stage I lung cancer were planned for SBRT. Free-breathing helical and 4D image datasets were obtained for each patient. Two composite images, the MIP and AI, were automatically generated from the 4D image datasets. The mGTV contours were delineated for the MIP, AI and helical image datasets for each patient. The volume for each was calculated and compared using analysis of variance and the Wilcoxon rank test. A spatial analysis for comparing center of mass (COM) (i.e. isocenter) coordinates for each imaging method was also performed using multivariate analysis of variance. RESULTS: The MIP-defined mGTVs were significantly larger than both the helical- (p=0.001) and AI-defined mGTVs (p=0.012). A comparison of COM coordinates demonstrated no significant spatial difference in the x-, y-, and z-coordinates for each tumor as determined by helical, MIP, or AI imaging methods. CONCLUSIONS: In order to incorporate the extent of tumor motion from breathing during SBRT, MIP is superior to either helical or AI images for defining the mGTV. The spatial isocenter coordinates for each tumor were not altered significantly by the imaging methods. |
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Authors:
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Jeffrey D Bradley; Ahmed N Nofal; Issam M El Naqa; Wei Lu; Jubei Liu; James Hubenschmidt; Daniel A Low; Robert E Drzymala; Divya Khullar |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2006-11-20 |
Journal Detail:
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Title: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Volume: 81 ISSN: 0167-8140 ISO Abbreviation: Radiother Oncol Publication Date: 2006 Dec |
Date Detail:
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Created Date: 2006-12-12 Completed Date: 2007-02-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8407192 Medline TA: Radiother Oncol Country: Ireland |
Other Details:
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Languages: eng Pagination: 264-8 Citation Subset: IM |
Affiliation:
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Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA. jbradley@wustl.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Humans Image Interpretation, Computer-Assisted* Lung Neoplasms / radiotherapy* Radiotherapy Planning, Computer-Assisted Respiration Retrospective Studies Stereotaxic Techniques Tomography, X-Ray Computed* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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