Literature DB >> 25151537

Deformable image registration for adaptive radiation therapy of head and neck cancer: accuracy and precision in the presence of tumor changes.

Angelo Mencarelli1, Simon Robert van Kranen2, Olga Hamming-Vrieze2, Suzanne van Beek2, Coenraad Robert Nico Rasch3, Marcel van Herk2, Jan-Jakob Sonke2.   

Abstract

PURPOSE: To compare deformable image registration (DIR) accuracy and precision for normal and tumor tissues in head and neck cancer patients during the course of radiation therapy (RT). METHODS AND MATERIALS: Thirteen patients with oropharyngeal tumors, who underwent submucosal implantation of small gold markers (average 6, range 4-10) around the tumor and were treated with RT were retrospectively selected. Two observers identified 15 anatomical features (landmarks) representative of normal tissues in the planning computed tomography (pCT) scan and in weekly cone beam CTs (CBCTs). Gold markers were digitally removed after semiautomatic identification in pCTs and CBCTs. Subsequently, landmarks and gold markers on pCT were propagated to CBCTs, using a b-spline-based DIR and, for comparison, rigid registration (RR). To account for observer variability, the pair-wise difference analysis of variance method was applied. DIR accuracy (systematic error) and precision (random error) for landmarks and gold markers were quantified. Time trend of the precisions for RR and DIR over the weekly CBCTs were evaluated.
RESULTS: DIR accuracies were submillimeter and similar for normal and tumor tissue. DIR precision (1 SD) on the other hand was significantly different (P<.01), with 2.2 mm vector length in normal tissue versus 3.3 mm in tumor tissue. No significant time trend in DIR precision was found for normal tissue, whereas in tumor, DIR precision was significantly (P<.009) degraded during the course of treatment by 0.21 mm/week.
CONCLUSIONS: DIR for tumor registration proved to be less precise than that for normal tissues due to limited contrast and complex non-elastic tumor response. Caution should therefore be exercised when applying DIR for tumor changes in adaptive procedures.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25151537     DOI: 10.1016/j.ijrobp.2014.06.045

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


  21 in total

1.  Biomechanical modeling of radiation dose-induced volumetric changes of the parotid glands for deformable image registration.

Authors:  Molly M McCulloch; Guillaume Cazoulat; Alexandra C Ford; Baher Elgohari; Houda Bahig; Andrew D Kim; Hesham Elhalawani; Renjie He; Jihong Wang; Yao Ding; Abdallah Sr Mohamed; Daniel F Polan; Jason B King; Christine B Peterson; Andrea N Ohrt; Clifton D Fuller; Stephen Y Lai; Kristy K Brock
Journal:  Phys Med Biol       Date:  2020-08-31       Impact factor: 3.609

2.  Automatic large quantity landmark pairs detection in 4DCT lung images.

Authors:  Yabo Fu; Xue Wu; Allan M Thomas; Harold H Li; Deshan Yang
Journal:  Med Phys       Date:  2019-08-07       Impact factor: 4.071

Review 3.  Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges.

Authors:  Ovidiu Veresezan; Idriss Troussier; Alexis Lacout; Sarah Kreps; Sophie Maillard; Aude Toulemonde; Pierre-Yves Marcy; Florence Huguet; Juliette Thariat
Journal:  Jpn J Radiol       Date:  2016-12-01       Impact factor: 2.374

4.  Open source deformable image registration system for treatment planning and recurrence CT scans : Validation in the head and neck region.

Authors:  Ruta Zukauskaite; Carsten Brink; Christian Rønn Hansen; Anders Bertelsen; Jørgen Johansen; Cai Grau; Jesper Grau Eriksen
Journal:  Strahlenther Onkol       Date:  2016-06-20       Impact factor: 3.621

5.  Practical Clinical Workflows for Online and Offline Adaptive Radiation Therapy.

Authors:  Olga L Green; Lauren E Henke; Geoffrey D Hugo
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

6.  Beam angle optimization using angular dependency of range variation assessed via water equivalent path length (WEPL) calculation for head and neck proton therapy.

Authors:  Jihun Kim; Yang-Kyun Park; Gregory Sharp; Paul Busse; Brian Winey
Journal:  Phys Med       Date:  2019-12-05       Impact factor: 2.685

7.  Co-registration of radiotherapy planning and recurrence scans with different imaging modalities in head and neck cancer.

Authors:  Morten Horsholt Kristensen; Christian Rønn Hansen; Ruta Zukauskaite; Jørgen Johansen; Eva Samsøe; Christian Maare; Anne Ivalu Sander Holm; Jesper Grau Eriksen
Journal:  Phys Imaging Radiat Oncol       Date:  2022-06-30

8.  Performance of a fast and high-resolution multi-echo spin-echo sequence for prostate T2 mapping across multiple systems.

Authors:  Petra J van Houdt; Harsh K Agarwal; Laurens D van Buuren; Stijn W T P J Heijmink; Søren Haack; Henk G van der Poel; Ghazaleh Ghobadi; Floris J Pos; Johannes M Peeters; Peter L Choyke; Uulke A van der Heide
Journal:  Magn Reson Med       Date:  2017-07-03       Impact factor: 4.668

9.  Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy.

Authors:  Bastien Rigaud; Antoine Simon; Joël Castelli; Maxime Gobeli; Juan-David Ospina Arango; Guillaume Cazoulat; Olivier Henry; Pascal Haigron; Renaud De Crevoisier
Journal:  Biomed Res Int       Date:  2015-02-11       Impact factor: 3.411

10.  Validation of Varian's SmartAdapt® deformable image registration algorithm for clinical application.

Authors:  Ihab S Ramadaan; Karsten Peick; David A Hamilton; Jamie Evans; Douglas Iupati; Anna Nicholson; Lynne Greig; Robert J W Louwe
Journal:  Radiat Oncol       Date:  2015-03-31       Impact factor: 3.481

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