Literature DB >> 23039621

A study of respiration-correlated cone-beam CT scans to correct target positioning errors in radiotherapy of thoracic cancer.

J P Santoro1, J McNamara, E Yorke, H Pham, A Rimner, K E Rosenzweig, G S Mageras.   

Abstract

PURPOSE: There is increasingly widespread usage of cone-beam CT (CBCT) for guiding radiation treatment in advanced-stage lung tumors, but difficulties associated with daily CBCT in conventionally fractionated treatments include imaging dose to the patient, increased workload and longer treatment times. Respiration-correlated cone-beam CT (RC-CBCT) can improve localization accuracy in mobile lung tumors, but further increases the time and workload for conventionally fractionated treatments. This study investigates whether RC-CBCT-guided correction of systematic tumor deviations in standard fractionated lung tumor radiation treatments is more effective than 2D image-based correction of skeletal deviations alone. A second study goal compares respiration-correlated vs respiration-averaged images for determining tumor deviations.
METHODS: Eleven stage II-IV nonsmall cell lung cancer patients are enrolled in an IRB-approved prospective off-line protocol using RC-CBCT guidance to correct for systematic errors in GTV position. Patients receive a respiration-correlated planning CT (RCCT) at simulation, daily kilovoltage RC-CBCT scans during the first week of treatment and weekly scans thereafter. Four types of correction methods are compared: (1) systematic error in gross tumor volume (GTV) position, (2) systematic error in skeletal anatomy, (3) daily skeletal corrections, and (4) weekly skeletal corrections. The comparison is in terms of weighted average of the residual GTV deviations measured from the RC-CBCT scans and representing the estimated residual deviation over the treatment course. In the second study goal, GTV deviations computed from matching RCCT and RC-CBCT are compared to deviations computed from matching respiration-averaged images consisting of a CBCT reconstructed using all projections and an average-intensity-projection CT computed from the RCCT.
RESULTS: Of the eleven patients in the GTV-based systematic correction protocol, two required no correction, seven required a single correction, one required two corrections, and one required three corrections. Mean residual GTV deviation (3D distance) following GTV-based systematic correction (mean ± 1 standard deviation 4.8 ± 1.5 mm) is significantly lower than for systematic skeletal-based (6.5 ± 2.9 mm, p = 0.015), and weekly skeletal-based correction (7.2 ± 3.0 mm, p = 0.001), but is not significantly lower than daily skeletal-based correction (5.4 ± 2.6 mm, p = 0.34). In two cases, first-day CBCT images reveal tumor changes-one showing tumor growth, the other showing large tumor displacement-that are not readily observed in radiographs. Differences in computed GTV deviations between respiration-correlated and respiration-averaged images are 0.2 ± 1.8 mm in the superior-inferior direction and are of similar magnitude in the other directions.
CONCLUSIONS: An off-line protocol to correct GTV-based systematic error in locally advanced lung tumor cases can be effective at reducing tumor deviations, although the findings need confirmation with larger patient statistics. In some cases, a single cone-beam CT can be useful for assessing tumor changes early in treatment, if more than a few days elapse between simulation and the start of treatment. Tumor deviations measured with respiration-averaged CT and CBCT images are consistent with those measured with respiration-correlated images; the respiration-averaged method is more easily implemented in the clinic.

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Year:  2012        PMID: 23039621      PMCID: PMC3461048          DOI: 10.1118/1.4748503

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


  23 in total

1.  Acquiring a four-dimensional computed tomography dataset using an external respiratory signal.

Authors:  S S Vedam; P J Keall; V R Kini; H Mostafavi; H P Shukla; R Mohan
Journal:  Phys Med Biol       Date:  2003-01-07       Impact factor: 3.609

2.  Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning.

Authors:  E C Ford; G S Mageras; E Yorke; C C Ling
Journal:  Med Phys       Date:  2003-01       Impact factor: 4.071

3.  4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT.

Authors:  Tinsu Pan; Ting-Yim Lee; Eike Rietzel; George T Y Chen
Journal:  Med Phys       Date:  2004-02       Impact factor: 4.071

4.  Effect of image-guidance frequency on geometric accuracy and setup margins in radiotherapy for locally advanced lung cancer.

Authors:  Jane Higgins; Andrea Bezjak; Andrew Hope; Tony Panzarella; Winnie Li; John B C Cho; Tim Craig; Anthony Brade; Alexander Sun; Jean-Pierre Bissonnette
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-07-17       Impact factor: 7.038

5.  Respiratory correlated cone beam CT.

Authors:  Jan-Jakob Sonke; Lambert Zijp; Peter Remeijer; Marcel van Herk
Journal:  Med Phys       Date:  2005-04       Impact factor: 4.071

6.  Four-dimensional cone-beam computed tomography using an on-board imager.

Authors:  Tianfang Li; Lei Xing; Peter Munro; Christopher McGuinness; Ming Chao; Yong Yang; Bill Loo; Albert Koong
Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

7.  Four-dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling.

Authors:  Jun Lu; Thomas M Guerrero; Peter Munro; Andrew Jeung; Pai-Chun M Chi; Peter Balter; X Ronald Zhu; Radhe Mohan; Tinsu Pan
Journal:  Med Phys       Date:  2007-09       Impact factor: 4.071

8.  Respiration correlated cone-beam computed tomography and 4DCT for evaluating target motion in Stereotactic Lung Radiation Therapy.

Authors:  Thomas G Purdie; Douglas J Moseley; Jean-Pierre Bissonnette; Michael B Sharpe; Kevin Franks; Andrea Bezjak; David A Jaffray
Journal:  Acta Oncol       Date:  2006       Impact factor: 4.089

9.  On-line target position localization in the presence of respiration: a comparison of two methods.

Authors:  Geoffrey D Hugo; Jian Liang; Jonathan Campbell; Di Yan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-10-29       Impact factor: 7.038

10.  Observation of interfractional variations in lung tumor position using respiratory gated and ungated megavoltage cone-beam computed tomography.

Authors:  Jenghwa Chang; Gig S Mageras; Ellen Yorke; Fernando De Arruda; Jussi Sillanpaa; Kenneth E Rosenzweig; Agung Hertanto; Hai Pham; Edward Seppi; Alex Pevsner; C Clifton Ling; Howard Amols
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-04-01       Impact factor: 7.038

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  4 in total

Review 1.  Current status and future prospects of multi-dimensional image-guided particle therapy.

Authors:  Shinichiro Mori; Silvan Zenklusen; Antje-Christin Knopf
Journal:  Radiol Phys Technol       Date:  2013-02-19

2.  Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small cell lung cancer.

Authors:  Pengpeng Zhang; Ellen Yorke; Yu-Chi Hu; Gig Mageras; Andreas Rimner; Joseph O Deasy
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-12-05       Impact factor: 7.038

3.  Evaluation of tumor localization in respiration motion-corrected cone-beam CT: prospective study in lung.

Authors:  Oleksandr Dzyubak; Russell Kincaid; Agung Hertanto; Yu-Chi Hu; Hai Pham; Andreas Rimner; Ellen Yorke; Qinghui Zhang; Gig S Mageras
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

4.  Effects of irregular respiratory motion on the positioning accuracy of moving target with free breathing cone-beam computerized tomography.

Authors:  Xiang Li; Tianfang Li; Ellen Yorke; Gig Mageras; Xiaoli Tang; Maria Chan; Weijun Xiong; Marsha Reyngold; Richard Gewanter; Abraham Wu; John Cuaron; Margie Hunt
Journal:  Int J Med Phys Clin Eng Radiat Oncol       Date:  2018-05-08
  4 in total

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