Literature DB >> 17398021

Kilo-voltage cone-beam computed tomography setup measurements for lung cancer patients; first clinical results and comparison with electronic portal-imaging device.

Gerben R Borst1, Jan-Jakob Sonke, Anja Betgen, Peter Remeijer, Marcel van Herk, Joos V Lebesque.   

Abstract

PURPOSE: Kilovoltage cone-beam computed tomography (CBCT) has been developed to provide accurate soft-tissue and bony setup information. We evaluated clinical CBCT setup data and compared CBCT measurements with electronic portal imaging device (EPID) images for lung cancer patients. METHODS AND MATERIALS: The setup error for CBCT scans at the treatment unit relative to the planning CT was measured for 62 patients (524 scans). For 19 of these patients (172 scans) portal images were also made. The mean, systematic setup error (Sigma), and random setup error (sigma) were calculated for the CBCT and the EPID. The differences between CBCT and EPID and the rotational setup error derived from the CBCT were also evaluated. An offline shrinking action level correction protocol, based on the CBCT measurements, was used to reduce systematic setup errors and the impact of this protocol was evaluated.
RESULTS: The CBCT setup errors were significantly larger than the EPID setup errors for the cranial-caudal and anterior-posterior directions (p < 0.05). The mean overall setup errors after correction measured with the CBCT were 0.2 mm (Sigma = 1.6 mm, sigma = 2.9 mm) in the left-right, -0.8 mm (Sigma = 1.7 mm, sigma = 4.0 mm) in cranial-caudal and 0.0 mm (Sigma = 1.5 mm, sigma = 2.0 mm) in the anterior-posterior direction. Using our correction protocol only 2 patients had mean setup errors larger than 5 mm, without this correction protocol 51% of the patients would have had a setup error larger than 5 mm.
CONCLUSION: Use of CBCT scans provided more accurate information concerning the setup of lung cancer patients than did portal imaging.

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Year:  2007        PMID: 17398021     DOI: 10.1016/j.ijrobp.2007.01.014

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


  23 in total

1.  Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy.

Authors:  Scott P Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

2.  Use of planar kV vs. CBCT in evaluation of setup errors in oesophagus carcinoma radiotherapy.

Authors:  Liliana Martins; Jose Guilherme Couto; Barbara Barbosa
Journal:  Rep Pract Oncol Radiother       Date:  2015-11-14

3.  Multi-system verification of registrations for image-guided radiotherapy in clinical trials.

Authors:  Yunfeng Cui; James M Galvin; William L Straube; Walter R Bosch; James A Purdy; X Allen Li; Ying Xiao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-13       Impact factor: 7.038

4.  Deformable mesh registration for the validation of automatic target localization algorithms.

Authors:  Scott Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

5.  Surface imaging, portal imaging, and skin marker set-up vs. CBCT for radiotherapy of the thorax and pelvis.

Authors:  Stefania Pallotta; Eleonora Vanzi; Gabriele Simontacchi; Livia Marrazzo; Marco Ceroti; Fabiola Paiar; Lorenzo Livi; Marta Bucciolini
Journal:  Strahlenther Onkol       Date:  2015-06-19       Impact factor: 3.621

6.  Technical note: improved positioning protocol for patient setup accuracy in conventional radiotherapy for lung cancer.

Authors:  Hongbo Chai; Yuichiro Narita; Masafumi Takagi; Mikiko Kudo; Tomomi Kimura; Keiichi Kattou
Journal:  Radiol Phys Technol       Date:  2019-09-23

7.  Adaptive radiation for lung cancer.

Authors:  Daniel R Gomez; Joe Y Chang
Journal:  J Oncol       Date:  2010-08-04       Impact factor: 4.375

8.  Method comparison of automated matching software-assisted cone-beam CT and stereoscopic kilovoltage x-ray positional verification image-guided radiation therapy for head and neck cancer: a prospective analysis.

Authors:  Clifton D Fuller; Todd J Scarbrough; Jan-Jakob Sonke; Coen R N Rasch; Mehee Choi; Joe Y Ting; Samuel J Wang; Niko Papanikolaou; David I Rosenthal
Journal:  Phys Med Biol       Date:  2009-11-24       Impact factor: 3.609

9.  A block matching-based registration algorithm for localization of locally advanced lung tumors.

Authors:  Scott P Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

Review 10.  Advances in radiotherapy: from 2D to 4D.

Authors:  Morten Høyer; Maria Thor; Sara Thörnqvist; Jimmi Søndergaard; Yasmin Lassen-Ramshad; Ludvig Paul Muren
Journal:  Cancer Imaging       Date:  2011-10-03       Impact factor: 3.909

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