Literature DB >> 20199818

Multiinstitutional study on target volume delineation variation in breast radiotherapy in the presence of guidelines.

Anke M van Mourik1, Paula H M Elkhuizen, Danny Minkema, Joop C Duppen, Corine van Vliet-Vroegindeweij.   

Abstract

PURPOSE: This study aims to determine magnitude, causes and consequences of post-operative breast tumour target volume delineation variation among radiation oncologists in the presence of guidelines.
MATERIALS AND METHODS: Excision cavities, CTVs and PTVs of eight breast cancer patients were delineated on CT scans by 13 Dutch radiation oncologists (observers) from 12 Dutch institutes participating in the international Young Boost Trial. Delineated volumes and conformity indices were determined. CTV delineation variation (SD) was determined for anatomically relevant regions. Non-parametric statistics were performed to establish effects of observers, patient characteristics and regions on delineation variation.
RESULTS: Even in the presence of delineation guidelines considerable delineation variation is present (0.24<SD<1.22 cm). Presence of clips or seroma reduced interobserver variation (0.24<SD<0.62 cm). Region-specific analysis showed distinct regions of higher variability per patient. This could not always be ascribed to anatomical features, suggesting interobserver variation is not solely due to lack of image quality.
CONCLUSIONS: In this study, interobserver delineation variation in breast tumour target volume delineation is larger than, e.g. setup inaccuracies and results from limited reliable visual guidance as well as interpretation differences between observers, despite guidelines. Reduction of delineation variation is essential in view of current developments in planning techniques, particularly for External Partial Breast Irradiation. (c) 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20199818     DOI: 10.1016/j.radonc.2010.01.009

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


  38 in total

1.  Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy.

Authors:  I Fotina; C Lütgendorf-Caucig; M Stock; R Pötter; D Georg
Journal:  Strahlenther Onkol       Date:  2012-01-27       Impact factor: 3.621

Review 2.  [Is "evidence-based medicine" followed by "confidence-based medicine"?].

Authors:  Franz Porzsolt; Heiner Fangerau
Journal:  Med Klin (Munich)       Date:  2010-09-08

3.  Displacement of the lumpectomy cavity defined by surgical clips and seroma based on 4D-CT scan for external-beam partial breast irradiation after breast-conserving surgery: a comparative study.

Authors:  Y Ding; J Li; W Wang; S Wang; T Fan; M Xu; Q Shao; Z Ma
Journal:  Br J Radiol       Date:  2013-08-30       Impact factor: 3.039

Review 4.  Interobserver variation in parotid gland delineation: a study of its impact on intensity-modulated radiotherapy solutions with a systematic review of the literature.

Authors:  S W Loo; W M C Martin; P Smith; S Cherian; T W Roques
Journal:  Br J Radiol       Date:  2012-08       Impact factor: 3.039

5.  Delineation of the larynx as organ at risk in radiotherapy: a contouring course within "Rete Oncologica Piemonte-Valle d'Aosta" network to reduce inter- and intraobserver variability.

Authors:  Domenico Cante; Edoardo Petrucci; Cristina Piva; Valeria Casanova Borca; Piera Sciacero; Maurizio Bertodatto; Caterina Marta; Pierfrancesco Franco; Monica Viale; Giovanni La Valle; Maria Rosa La Porta; Oscar Bertetto
Journal:  Radiol Med       Date:  2016-07-15       Impact factor: 3.469

6.  Setup accuracy for prone and supine whole breast irradiation.

Authors:  Thomas Mulliez; Akos Gulyban; Tom Vercauteren; Annick van Greveling; Bruno Speleers; Wilfried De Neve; Liv Veldeman
Journal:  Strahlenther Onkol       Date:  2016-02-10       Impact factor: 3.621

7.  Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping.

Authors:  Megumi Oya; Satoru Sugimoto; Keisuke Sasai; Kazuhito Yokoyama
Journal:  Radiol Phys Technol       Date:  2021-06-16

8.  Tools for consensus analysis of experts' contours for radiotherapy structure definitions.

Authors:  Rawan Allozi; X Allen Li; Julia White; Aditya Apte; An Tai; Jeff M Michalski; Walter R Bosch; Issam El Naqa
Journal:  Radiother Oncol       Date:  2010-08-11       Impact factor: 6.280

Review 9.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

Review 10.  Evolution of radiotherapy techniques in breast conservation treatment.

Authors:  John Boyages; Lesley Baker
Journal:  Gland Surg       Date:  2018-12
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