Literature DB >> 20863675

Comparison of helical and average computed tomography for stereotactic body radiation treatment planning and normal tissue contouring in lung cancer.

K Han1, P S Basran, P Cheung.   

Abstract

AIMS: To compare average computed tomography (CT(AVE)) datasets with free breathing helical computed tomography (CT(HEL)) for contouring organs at risk (OARs) and radiation treatment planning in patients receiving stereotactic body radiation therapy (SBRT) in the lung.
MATERIALS AND METHODS: Ten SBRT patients with peripheral stage I non-small cell lung cancer underwent a CT(HEL) and a four-dimensional computed tomography scan in the treatment position. CT(AVE) datasets were generated from the four-dimensional computed tomography scan. The following OARs were delineated on the CT(HEL) and CT(AVE) datasets of each patient: lung minus internal target volume, trachea/main bronchus, heart, oesophagus and spinal cord. Volumes and geometric centres of the OARs, as well as the dosimetric impact of planning with these different datasets, were examined.
RESULTS: There were no statistical differences in the OAR geometric centre coordinates nor in the OAR volumes between the CT(HEL) and CT(AVE) datasets, except that CT(AVE)-defined trachea/main bronchus and lung minus internal target volume mean volumes were larger than those defined on the CT(HEL) (46, 43 cm³ and 3516, 3378 cm³, respectively, P<0.05). Despite this, there were no significant differences in the mean and maximum doses to the OAR contours when using the CT(HEL) or CT(AVE) for planning (<4% average change in the maximum and mean doses for all OARs, P>0.05). There were also no significant differences in the locations of the hotspots within OARs among the CT(HEL) or CT(AVE) datasets (P>0.05).
CONCLUSIONS: CT(AVE) datasets may be used in place of CT(HEL) for OAR contouring and dose calculations. When four-dimensional computed tomography is available, it may not be necessary to acquire a separate CT(HEL) scan for OAR contouring or dosimetric purposes.
Copyright © 2010 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20863675     DOI: 10.1016/j.clon.2010.08.010

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


  9 in total

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3.  Registration uncertainties between 3D cone beam computed tomography and different reference CT datasets in lung stereotactic body radiation therapy.

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Authors:  Chirasak Khamfongkhruea; Sangutid Thongsawad; Chirapha Tannanonta; Sasikarn Chamchod
Journal:  J Appl Clin Med Phys       Date:  2017-01-24       Impact factor: 2.102

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Journal:  Dose Response       Date:  2021-07-31       Impact factor: 2.658

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

Authors:  Anil Tibdewal; Sabheen Bushra; Naveen Mummudi; Rajesh Kinhikar; Yogesh Ghadi; Jai Prakash Agrawal
Journal:  J Med Phys       Date:  2021-08-07

8.  An investigation into the range dependence of target delineation strategies for stereotactic lung radiotherapy.

Authors:  Dennis J Mohatt; John M Keim; Mathew C Greene; Ami Patel-Yadav; Jorge A Gomez; Harish K Malhotra
Journal:  Radiat Oncol       Date:  2017-11-03       Impact factor: 3.481

9.  Technical and dosimetric implications of respiratory induced density variations in a heterogeneous lung phantom.

Authors:  Dennis J Mohatt; Tianjun Ma; David B Wiant; Naveed M Islam; Jorge Gomez; Anurag K Singh; Harish K Malhotra
Journal:  Radiat Oncol       Date:  2018-09-04       Impact factor: 3.481

  9 in total

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