Literature DB >> 19306753

Setup uncertainties of anatomical sub-regions in head-and-neck cancer patients after offline CBCT guidance.

Simon van Kranen1, Suzanne van Beek, Coen Rasch, Marcel van Herk, Jan-Jakob Sonke.   

Abstract

PURPOSE: To quantify local geometrical uncertainties in anatomical sub-regions during radiotherapy for head-and-neck cancer patients. METHODS AND MATERIALS: Local setup accuracy was analyzed for 38 patients, who had received intensity-modulated radiotherapy and were regularly scanned during treatment with cone beam computed tomography (CBCT) for offline patient setup correction. In addition to the clinically used large region of interest (ROI), we defined eight ROIs in the planning CT that contained rigid bony structures: the mandible, larynx, jugular notch, occiput bone, vertebrae C1-C3, C3-C5, and C5-C7, and the vertebrae caudal of C7. By local rigid registration to successive CBCT scans, the local setup accuracy of each ROI was determined and compared with the overall setup error assessed with the large ROI. Deformations were distinguished from rigid body movements by expressing movement relative to a reference ROI (vertebrae C1-C3).
RESULTS: The offline patient setup correction protocol using the large ROI resulted in residual systematic errors (1 SD) within 1.2 mm and random errors within 1.5 mm for each direction. Local setup errors were larger, ranging from 1.1 to 3.4 mm (systematic) and 1.3 to 2.5 mm (random). Systematic deformations ranged from 0.4 mm near the reference C1-C3 to 3.8 mm for the larynx. Random deformations ranged from 0.5 to 3.6 mm.
CONCLUSION: Head-and-neck cancer patients show considerable local setup variations, exceeding residual global patient setup uncertainty in an offline correction protocol. Current planning target volume margins may be inadequate to account for these uncertainties. We propose registration of multiple ROIs to drive correction protocols and adaptive radiotherapy to reduce the impact of local setup variations.

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Year:  2009        PMID: 19306753     DOI: 10.1016/j.ijrobp.2008.11.035

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


  56 in total

Review 1.  Current progress in adaptive radiation therapy for head and neck cancer.

Authors:  David L Schwartz
Journal:  Curr Oncol Rep       Date:  2012-04       Impact factor: 5.075

2.  Image-based modeling of tumor shrinkage in head and neck radiation therapy.

Authors:  Ming Chao; Yaoqin Xie; Eduardo G Moros; Quynh-Thu Le; Lei Xing
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

3.  Variable planning margin approach to account for locoregional variations in setup uncertainties.

Authors:  Jinzhong Yang; Adam S Garden; Yongbin Zhang; Lifei Zhang; Lei Dong
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

Review 4.  kV cone-beam CT-based IGRT: a clinical review.

Authors:  Judit Boda-Heggemann; Frank Lohr; Frederik Wenz; Michael Flentje; Matthias Guckenberger
Journal:  Strahlenther Onkol       Date:  2011-04-26       Impact factor: 3.621

5.  Reconstructing cone-beam CT with spatially varying qualities for adaptive radiotherapy: a proof-of-principle study.

Authors:  Wenting Lu; Hao Yan; Xuejun Gu; Zhen Tian; Ouyang Luo; Liu Yang; Linghong Zhou; Laura Cervino; Jing Wang; Steve Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2014-09-26       Impact factor: 3.609

6.  Set-up errors and planning target volume margins in head and neck cancer radiotherapy: a clinical study of image guidance with on-line cone-beam computed tomography.

Authors:  Francesco Dionisi; Mauro Filippo Palazzi; Francesco Bracco; Maria Grazia Brambilla; Claudia Carbonini; Diego Dario Asnaghi; Angelo Filippo Monti; Alberto Torresin
Journal:  Int J Clin Oncol       Date:  2012-03-03       Impact factor: 3.402

7.  Water equivalent path length calculations using scatter-corrected head and neck CBCT images to evaluate patients for adaptive proton therapy.

Authors:  Jihun Kim; Yang-Kyun Park; Gregory Sharp; Paul Busse; Brian Winey
Journal:  Phys Med Biol       Date:  2016-12-14       Impact factor: 3.609

8.  Adaptive radiation therapy for head and neck cancer-can an old goal evolve into a new standard?

Authors:  David L Schwartz; Lei Dong
Journal:  J Oncol       Date:  2010-08-18       Impact factor: 4.375

9.  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

10.  Patient positioning in head and neck cancer : Setup variations and safety margins in helical tomotherapy.

Authors:  Christina Leitzen; Timo Wilhelm-Buchstab; Thomas Müdder; Martina Heimann; David Koch; Christopher Schmeel; Birgit Simon; Sabina Stumpf; Susanne Vornholt; Stephan Garbe; Fred Röhner; Felix Schoroth; Hans Heinz Schild; Heinrich Schüller
Journal:  Strahlenther Onkol       Date:  2018-01-25       Impact factor: 3.621

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