Literature DB >> 20570002

Deviations in delineated GTV caused by artefacts in 4DCT.

Gitte Fredberg Persson1, Ditte Eklund Nygaard, Carsten Brink, Jonas Westberg Jahn, Per Munck af Rosenschöld, Lena Specht, Stine Sofia Korreman.   

Abstract

BACKGROUND AND
PURPOSE: Four-dimensional computed tomography (4DCT) is used for breathing-adapted radiotherapy planning. Irregular breathing, large tumour motion or interpolation of images can cause artefacts in the 4DCT. This study evaluates the impact of artefacts on gross tumour volume (GTV) size.
MATERIAL AND METHODS: In 19 4DCT scans of patients with peripheral lung tumours, GTV was delineated in all bins. Variations in GTV size between bins in each 4DCT scan were analysed and correlated to tumour motion and variations in breathing signal amplitude and breathing signal period. End-expiration GTV size (GTVexp) was considered as reference for GTV size. Intra-session delineation error was estimated by re-delineation of GTV in eight of the 4DCT scans.
RESULTS: In 16 of the 4DCT scans the maximum deviations from GTVexp were larger than could be explained by delineation error. The deviations were largest in the bins adjacent to the end-inspiration bin. The coefficient of variation of GTV size was significantly correlated to tumour motion in the cranio-caudal direction, but no significant correlation was found to breathing signal variations.
CONCLUSION: We found considerable variations in GTV size throughout the 4DCT scans. Awareness of the error introduced by artefacts is important especially if radiotherapy planning is based on a single 4DCT bin. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20570002     DOI: 10.1016/j.radonc.2010.04.019

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


  22 in total

1.  Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model.

Authors:  Min Li; Sarah Joy Castillo; Richard Castillo; Edward Castillo; Thomas Guerrero; Liang Xiao; Xiaolin Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-14       Impact factor: 2.924

2.  Prediction error and required internal margin provided for irregular respiratory movements: a phantom study.

Authors:  Nobuyoshi Fukumitsu; Haruko Numajiri; Kayoko Ohnishi; Masashi Mizumoto; Teruhito Aihara; Hitoshi Ishikawa; Toshiyuki Okumura; Koji Tsuboi; Toshiyuki Terunuma; Takeji Sakae; Hideyuki Sakurai
Journal:  Jpn J Radiol       Date:  2015-04-16       Impact factor: 2.374

3.  Automated Lung Segmentation and Image Quality Assessment for Clinical 3D/4D Computed Tomography.

Authors:  Jie Wei; Guang Li
Journal:  IEEE J Transl Eng Health Med       Date:  2014       Impact factor: 3.316

4.  Rapid estimation of 4DCT motion-artifact severity based on 1D breathing-surrogate periodicity.

Authors:  Guang Li; Marshall Caraveo; Jie Wei; Andreas Rimner; Abraham J Wu; Karyn A Goodman; Ellen Yorke
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

5.  Quality assurance of a breathing controlled four-dimensional computed tomography algorithm.

Authors:  Juliane Szkitsak; Andre Karius; Christian Hofmann; Rainer Fietkau; Christoph Bert; Stefan Speer
Journal:  Phys Imaging Radiat Oncol       Date:  2022-06-24

6.  Interobserver delineation variation in lung tumour stereotactic body radiotherapy.

Authors:  G F Persson; D E Nygaard; C Hollensen; P Munck af Rosenschöld; L S Mouritsen; A K Due; A K Berthelsen; J Nyman; E Markova; A P Roed; H Roed; S Korreman; L Specht
Journal:  Br J Radiol       Date:  2012-09       Impact factor: 3.039

7.  Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating-Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients.

Authors:  Wensha Yang; Zhaoyang Fan; Richard Tuli; Zixin Deng; Jianing Pang; Ashley Wachsman; Robert Reznik; Howard Sandler; Debiao Li; Benedick A Fraass
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-08-21       Impact factor: 7.038

Review 8.  Image-guided radiotherapy and motion management in lung cancer.

Authors:  S S Korreman
Journal:  Br J Radiol       Date:  2015-05-08       Impact factor: 3.039

Review 9.  Challenges in the target volume definition of lung cancer radiotherapy.

Authors:  Susan Mercieca; José S A Belderbos; Marcel van Herk
Journal:  Transl Lung Cancer Res       Date:  2021-04

10.  Assessment of respiration-induced motion and its impact on treatment outcome for lung cancer.

Authors:  Yan Wang; Yong Bao; Li Zhang; Wei Fan; Han He; Zong-Wen Sun; Xiao Hu; Shao-Min Huang; Ming Chen; Xiao-Wu Deng
Journal:  Biomed Res Int       Date:  2013-06-04       Impact factor: 3.411

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