An automatic contour propagation method to follow parotid glands deformation during head-and-neck cancer Tomotherapy. (Articolo in rivista)

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  • An automatic contour propagation method to follow parotid glands deformation during head-and-neck cancer Tomotherapy. (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Faggiano E 1,2,3, Fiorino C. 4, Scalco E. 1, Broggi S. 4, Cattaneo M. 4, Maggiulli E. 4, Dell'Oca I. 5, Di Muzio N. 5, Calandrino R. 4 and Rizzo G. 1,6 (2011)
    An automatic contour propagation method to follow parotid glands deformation during head-and-neck cancer Tomotherapy.
    in Physics in medicine and biology (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Faggiano E 1,2,3, Fiorino C. 4, Scalco E. 1, Broggi S. 4, Cattaneo M. 4, Maggiulli E. 4, Dell'Oca I. 5, Di Muzio N. 5, Calandrino R. 4 and Rizzo G. 1,6 (literal)
Pagina inizio
  • 775 (literal)
Pagina fine
  • 791 (literal)
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  • 56 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Corresponding author: C. Fiorino (fiorino.claudio@hsr.it) IF 2010: 3.056 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1. Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), CNR, Milano. 2. Centro Bioimmagini Molecolari, University of Milan-Bicocca, Milano. 3. Department of Biomedical Engineering, Politecnico di Milano, Milano. 4. Department of Medical Physics, San Raffaele Scientific Institute, Milano. 5. Department of Radiotherapy, San Raffaele Scientific Institute, Milano. 6. Department of Nuclear Medicine, San Raffaele Scientific Institute, Milano. (literal)
Titolo
  • An automatic contour propagation method to follow parotid glands deformation during head-and-neck cancer Tomotherapy. (literal)
Abstract
  • We developed an efficient technique to auto-propagate parotid gland contours from planning kVCT to daily MVCT images of head-and-neck cancer patients treated with helical tomotherapy. The method deformed a 3D surface mesh constructed from manual kVCT contours by B-spline free-form deformation to generate optimal and smooth contours. Deformation was calculated by elastic image registration between kVCT and MVCT images. Data from ten head-and-neck cancer patients were considered and manual contours by three observers were included in both kVCT and MVCT images. A preliminary inter-observer variability analysis demonstrated the importance of contour propagation in tomotherapy application: a high variability was reported in MVCT parotid volume estimation (p = 0.0176, ANOVA test) and a larger uncertainty of MVCT contouring compared with kVCT was demonstrated by DICE and volume variability indices (Wilcoxon signed rank test, p < 10-4 for both indices). The performance analysis of our method showed no significant differences between automatic and manual contours in terms of volumes (p > 0.05, in a multiple comparison Tukey test), center-of-mass distances (p = 0.3043, ANOVA test), DICE values (p = 0.1672, Wilcoxon signed rank test) and average and maximum symmetric distances (p = 0.2043, p = 0.8228 Wilcoxon signed rank tests). Results suggested that our contour propagation method could successfully substitute human contouring on MVCT images. (literal)
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