Literature DB >> 15380599

Internal target volume determined with expansion margins beyond composite gross tumor volume in three-dimensional conformal radiotherapy for lung cancer.

Helen A Shih1, Steve B Jiang, Khaled M Aljarrah, Karen P Doppke, Noah C Choi.   

Abstract

PURPOSE: Gross tumor volume (GTV) of lung cancer defined by fast helical CT scan represents an image of moving tumor captured at a point in active respiratory movement. However, the method for defining internal margins beyond GTV to account for its expected physiologic movement and all variations in size and shape during the administration of radiation has not been established. The goal of this study was to determine the internal margins with expansion margins beyond individual GTVs defined with (1) fast scan at shallow free breathing, (2) breath-hold scans at the end of tidal volume inspiration and expiration, and (3) 4-s slow scan to approximate the composite GTV of all scans. METHODS AND MATERIALS: A series of sequential CT scans were acquired with (1) a fast helical scan at shallow free breathing and (2) breath-hold scans at the end of tidal volume expiration and inspiration for the first 6 patients, and (3) a 4-s slow scan at quiet free breathing, which was added for the latter 7 patients. We fused breath-hold scans and the 4-s slow scan to the fast scan at shallow free breathing to generate the composite GTV. Margins necessary to encompass the composite GTV beyond individual GTVs defined by either fast scan at quiet free breathing, breath-hold scans, or the 4-s slow scan at quiet free breathing were defined as expansion or internal margins and termed the internal target volumes. The centroid of the tumor volume was also used as another reference for tumor movement.
RESULTS: Thirteen patients with 14 tumors were enrolled into the study. Substantial tumor movement was noted by either the extent of internal margins beyond each GTV or the movement of the centroid. Internal margins varied significantly according to the method of CT scanning for determination of GTV. Even for tumors in the same lobe of the lung, a wide range of internal margins and significant variation in the centroid movement in all directions (x, y, and z) were observed. The GTV of a single fast helical scan at free breathing (n = 14) required the largest internal margin (mean, 3.5 mm; maximum, 18 mm; standard deviation [SD], 4.2 mm) to match the composite GTV, compared with those of the 4-s slow scan (mean 2.7 mm, maximum 14 mm, SD 3.5 mm) or combined breath-hold scans (mean 1.1 mm, maximum 9 mm, SD 1.9 mm). Internal margins (expansion margins) required to approximate the composite GTV in 95% of cases were 13 mm, 10 mm, and 5 mm for the GTVs of a single fast scan, 4-s slow scan, and breath-hold scans at the end of tidal volume inspiration and expiration, respectively.
CONCLUSIONS: The internal margins required to account for the internal tumor motion in three-dimensional conformal radiotherapy are substantial. For the use of symmetric and population-based margins to account for internal tumor motion, GTV defined with breath-hold scans at the end of tidal volume inspiration and expiration has a narrower range of internal margins in all directions than that of either a single fast scan or 4-s slow scan.

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Year:  2004        PMID: 15380599     DOI: 10.1016/j.ijrobp.2004.05.031

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  17 in total

1.  Estimating 3-D respiratory motion from orbiting views by tomographic image registration.

Authors:  Rongping Zeng; Jeffrey A Fessler; James M Balter
Journal:  IEEE Trans Med Imaging       Date:  2007-02       Impact factor: 10.048

2.  A Study on Stereoscopic X-ray Imaging Data Set on the Accuracy of Real-Time Tumor Tracking in External Beam Radiotherapy.

Authors:  Ahmad Esmaili Torshabi; Leila Ghorbanzadeh
Journal:  Technol Cancer Res Treat       Date:  2016-07-08

3.  Evaluation of motion measurement using cine MRI for image guided stereotactic body radiotherapy on a new phantom platform.

Authors:  Zheng Chang; Jing Cai; Ziheng Wang; Fang-Fang Yin
Journal:  J Radiosurg SBRT       Date:  2011

Review 4.  [Investigation of respiratory-dependent movements of pulmonary space-occupying lesions with MRI].

Authors:  J Biederer; C Hintze; M Fabel; J Dinkel
Journal:  Radiologe       Date:  2009-08       Impact factor: 0.635

5.  Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging.

Authors:  Mark S Smyczynski; Howard C Gifford; Andre Lehovich; Joseph E McNamara; W Paul Segars; Eric A Hoffman; Benjamin M W Tsui; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2016-02-15       Impact factor: 1.679

6.  Assessment of intrafraction mediastinal and hilar lymph node movement and comparison to lung tumor motion using four-dimensional CT.

Authors:  Eric D Donnelly; Parag J Parikh; Wei Lu; Tianyu Zhao; Kristen Lechleiter; Michelle Nystrom; James P Hubenschmidt; Daniel A Low; Jeffrey D Bradley
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-10-01       Impact factor: 7.038

7.  An alternative approach to GTV margin determination in stereotactic body radiotherapy.

Authors:  José Bea-Gilabert; M Carmen Baños-Capilla; M Ángeles García-Martínez; Enrique López-Muñoz; Luis M Larrea-Rabassa
Journal:  J Radiosurg SBRT       Date:  2019

8.  To study tumor motion and planning target volume margins using four dimensional computed tomography for cancer of the thorax and abdomen regions.

Authors:  Sudesh Deshpande
Journal:  J Med Phys       Date:  2011-01

9.  Measurement of intra-fraction displacement of the mediastinal metastatic lymph nodes using four-dimensional CT in non-small cell lung cancer.

Authors:  Suzhen Wang; Jianbin Li; Yingjie Zhang; Wei Wang; Fengxiang Li; Tingyong Fan; Min Xu; Qian Shao
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

Review 10.  Tumour Movement in Proton Therapy: Solutions and Remaining Questions: A Review.

Authors:  Dirk De Ruysscher; Edmond Sterpin; Karin Haustermans; Tom Depuydt
Journal:  Cancers (Basel)       Date:  2015-06-29       Impact factor: 6.639

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