Literature DB >> 30336955

Intrafraction motion quantification and planning target volume margin determination of head-and-neck tumors using cine magnetic resonance imaging.

Tom Bruijnen1, Bjorn Stemkens2, Chris H J Terhaard2, Jan J W Lagendijk2, Cornelis P J Raaijmakers2, Rob H N Tijssen2.   

Abstract

PURPOSE: To quantify intrafractional motion to determine population-based radiotherapy treatment margins for head-and-neck tumors.
METHODS: Cine MR imaging was performed in 100 patients with head-and-neck cancer on a 3T scanner in a radiotherapy treatment setup. MR images were analyzed using deformable image registration (optical flow algorithm) and changes in tumor contour position were used to calculate the tumor motion. The tumor motion was used together with patient setup errors (450 patients) to calculate population-based PTV margins.
RESULTS: Tumor motion was quantified in 84 patients (12/43/29 nasopharynx/oropharynx/larynx, 16 excluded). The mean maximum (95th percentile) tumor motion (swallowing excluded) was: 2.3 mm in superior, 2.4 mm in inferior, 1.8 mm in anterior and 1.7 mm in posterior direction. PTV margins were: 2.8 mm isotropic for nasopharyngeal tumors, 3.2 mm isotropic for oropharyngeal tumors and 4.3 mm in inferior-superior and 3.2 mm in anterior-posterior for laryngeal tumors, for our institution.
CONCLUSIONS: Intrafractional head-and-neck tumor motion was quantified and population-based PTV margins were calculated. Although the average tumor motion was small (95th percentile motion <3.0 mm), tumor motion varied considerably between patients (0.1-12.0 mm). The intrafraction motion expanded the CTV-to-PTV with 1.7 mm for laryngeal tumors, 0.6 mm for oropharyngeal tumors and 0.2 mm for nasopharyngeal tumors.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Head-and-neck cancer; Intrafraction motion; MRI; Margins; Radiotherapy

Mesh:

Year:  2018        PMID: 30336955     DOI: 10.1016/j.radonc.2018.09.015

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  14 in total

1.  Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation.

Authors:  Brigid A McDonald; Sastry Vedam; Jinzhong Yang; Jihong Wang; Pamela Castillo; Belinda Lee; Angela Sobremonte; Sara Ahmed; Yao Ding; Abdallah S R Mohamed; Peter Balter; Neil Hughes; Daniela Thorwarth; Marcel Nachbar; Marielle E P Philippens; Chris H J Terhaard; Daniel Zips; Simon Böke; Musaddiq J Awan; John Christodouleas; Clifton D Fuller
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-12-16       Impact factor: 7.038

2.  Dosimetric comparison between volumetric modulated arc therapy planning techniques for prostate cancer in the presence of intrafractional organ deformation.

Authors:  Maria Varnava; Iori Sumida; Michio Oda; Keita Kurosu; Fumiaki Isohashi; Yuji Seo; Keisuke Otani; Kazuhiko Ogawa
Journal:  J Radiat Res       Date:  2021-03-10       Impact factor: 2.724

3.  IMRT and SBRT Treatment Planning Study for the First Clinical Biology-Guided Radiotherapy System.

Authors:  Daniel Pham; Eric Simiele; Dylan Breitkreutz; Dante Capaldi; Bin Han; Murat Surucu; Seyi Oderinde; Lucas Vitzthum; Michael Gensheimer; Hilary Bagshaw; Alex Chin; Lei Xing; D T Chang; Natalyia Kovalchuk
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Review 4.  Target Definition in MR-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Authors:  Mischa de Ridder; Cornelis P J Raaijmakers; Frank A Pameijer; Remco de Bree; Floris C J Reinders; Patricia A H Doornaert; Chris H J Terhaard; Marielle E P Philippens
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

5.  Conventionally fractionated large volume head and neck re-irradiation using multileaf collimator-based robotic technique: A feasibility study.

Authors:  Houda Bahig; Catherine Wang; Sweet Ping Ng; Jack Phan
Journal:  Clin Transl Radiat Oncol       Date:  2020-07-02

6.  Prospective assessment of inter- or intra-fractional variation according to body weight or volume change in patients with head and neck cancer undergoing radiotherapy.

Authors:  Seong Hoon Kim; Se An Oh; Ji Woon Yea; Jae Won Park
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

7.  A Review of Controversial Issues in the Management of Head and Neck Cancer: A Swiss Multidisciplinary and Multi-Institutional Patterns of Care Study-Part 2 (Radiation Oncology).

Authors:  Olgun Elicin; Paul Martin Putora; Marco Siano; Martina A Broglie; Christian Simon; Daniel Zwahlen; Gerhard F Huber; Giorgio Ballerini; Lorenza Beffa; Roland Giger; Sacha Rothschild; Sandro V Negri; Pavel Dulguerov; Guido Henke
Journal:  Front Oncol       Date:  2019-10-24       Impact factor: 6.244

8.  MR-Guided Radiotherapy for Head and Neck Cancer: Current Developments, Perspectives, and Challenges.

Authors:  Simon Boeke; David Mönnich; Janita E van Timmeren; Panagiotis Balermpas
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

9.  Organ motion in linac-based SBRT for glottic cancer.

Authors:  Annarita Perillo; Valeria Landoni; Alessia Farneti; Giuseppe Sanguineti
Journal:  Radiat Oncol       Date:  2021-06-12       Impact factor: 3.481

10.  Impact of Magnetic Field on Dose Distribution in MR-Guided Radiotherapy of Head and Neck Cancer.

Authors:  Wenlong Xia; Ke Zhang; Minghui Li; Yuan Tian; Kuo Men; Jingbo Wang; Junlin Yi; Yexiong Li; Jianrong Dai
Journal:  Front Oncol       Date:  2020-09-08       Impact factor: 6.244

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