Literature DB >> 18037579

Variability of four-dimensional computed tomography patient models.

Jan-Jakob Sonke1, Joos Lebesque, Marcel van Herk.   

Abstract

PURPOSE: To quantify the interfractional variability in lung tumor trajectory and mean position during the course of radiation therapy. METHODS AND MATERIALS: Repeat four-dimensional (4D) cone-beam computed tomography (CBCT) scans (median, nine scans/patient) routinely acquired during the course of treatment were analyzed for 56 patients with lung cancer. Tumor motion was assessed by using local rigid registration of a region of interest in the 3D planning CT to each phase in the 4D CBCT. Displacements of the mean tumor position relative to the planned position (baseline variations) were obtained by using time-weighted averaging of the motion curve.
RESULTS: The tumor trajectory shape was found to be stable interfractionally, with mean variability not exceeding 1 mm (1 SD) in each direction for the inhale and exhale phases. Interfractional baseline variations, however, were large, with 1.6- (left-right), 3.9- (cranial-caudal), and 2.8-mm (anterior-posterior) systematic variations (1 SD) and 1.2- (left-right), 2.4- (cranial-caudal) and 2.2-mm (anterior-posterior) random variations. Eliminating baseline variations by using soft-tissue guidance decreases planning target volume margins by approximately 50% compared with bony anatomy-driven protocols for conventional fractionation schemes.
CONCLUSIONS: Systematic and random baseline variations constitute a substantial portion of the geometric variability present in the treatment of patients with lung cancer and require generous safety margins when relying on accurate setup/immobilization or bony anatomy-driven correction strategies. The 4D-CBCT has the ability to accurately monitor tumor trajectory shape and baseline variations and drive image-guided correction strategies that allows safe margin reduction.

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Year:  2007        PMID: 18037579     DOI: 10.1016/j.ijrobp.2007.08.067

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


  53 in total

1.  Localization accuracy of the clinical target volume during image-guided radiotherapy of lung cancer.

Authors:  Geoffrey D Hugo; Elisabeth Weiss; Ahmed Badawi; Matthew Orton
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-27       Impact factor: 7.038

2.  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

3.  Extraction of tumor motion trajectories using PICCS-4DCBCT: a validation study.

Authors:  Zhihua Qi; Guang-Hong Chen
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

Review 4.  A review of image-guided radiotherapy.

Authors:  George T Y Chen; Gregory C Sharp; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2008-12-16

5.  Should patient setup in lung cancer be based on the primary tumor? An analysis of tumor coverage and normal tissue dose using repeated positron emission tomography/computed tomography imaging.

Authors:  Wouter van Elmpt; Michel Öllers; Philippe Lambin; Dirk De Ruysscher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

6.  Quality and accuracy of cone beam computed tomography gated by active breathing control.

Authors:  Bria P Thompson; Geoffrey D Hugo
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

7.  Comparative evaluation of CT-based and respiratory-gated PET/CT-based planning target volume (PTV) in the definition of radiation treatment planning in lung cancer: preliminary results.

Authors:  Luca Guerra; Sofia Meregalli; Alessandra Zorz; Rita Niespolo; Elena De Ponti; Federica Elisei; Sabrina Morzenti; Sarah Brenna; Andrea Crespi; Gianstefano Gardani; Cristina Messa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-01       Impact factor: 9.236

Review 8.  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

9.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC).

Authors:  Matthias Guckenberger; Kurt Baier; Anne Richter; Juergen Wilbert; Michael Flentje
Journal:  Radiat Oncol       Date:  2009-12-21       Impact factor: 3.481

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