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Geometrical and dosimetric evaluation of breast target volume auto-contouring

BACKGROUND AND PURPOSE: Automatic delineations are often used as a starting point in the radiotherapy contouring workflow, after which they are manually reviewed and adapted. The purpose of this work was to quantify the geometric differences between automatic and manually edited breast clinical targ...

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Autores principales: Simões, Rita, Wortel, Geert, Wiersma, Terry G., Janssen, Tomas M., van der Heide, Uulke A., Remeijer, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807634/
https://www.ncbi.nlm.nih.gov/pubmed/33458293
http://dx.doi.org/10.1016/j.phro.2019.11.003
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author Simões, Rita
Wortel, Geert
Wiersma, Terry G.
Janssen, Tomas M.
van der Heide, Uulke A.
Remeijer, Peter
author_facet Simões, Rita
Wortel, Geert
Wiersma, Terry G.
Janssen, Tomas M.
van der Heide, Uulke A.
Remeijer, Peter
author_sort Simões, Rita
collection PubMed
description BACKGROUND AND PURPOSE: Automatic delineations are often used as a starting point in the radiotherapy contouring workflow, after which they are manually reviewed and adapted. The purpose of this work was to quantify the geometric differences between automatic and manually edited breast clinical target volume (CTV) contours and evaluate the dosimetric impact of such differences. MATERIALS AND METHODS: Eighty-seven automatically generated and manually edited contours of the left breast were retrieved from our clinical database. The automatic contours were obtained with a commercial auto-segmentation toolbox. The geometrical comparison was performed both locally and globally using the Dice score and the 95% Hausdorff distance (HD). Two treatment plans were generated for each patient and the obtained dosimetric differences were quantified using dose-volume histogram (DVH) parameters in the lungs, heart and planning target volume (PTV). An inter-observer variability study with four observers was performed on a subset of ten patients. RESULTS: A median Dice score of 0.95 and a median 95% HD of 9.7 mm were obtained. Larger breasts were consistently under-contoured. Cranial under-contouring resulted in more than 5% relative decrease in PTV coverage in 15% of the patients while lateroposterior over-contouring increased the lung V(20Gy) by a maximum of 2%. The inter-observer variability of the PTV coverage was smaller than the difference between PTV coverage achieved by the automatic and the consensus contours. CONCLUSIONS: Cranial under-contouring resulted in under-treatment, while lateroposterior over-contouring resulted in an increased lung dosage that is clinically irrelevant, showing the need to consider dose distributions to assess the clinical impact of local geometrical differences.
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spelling pubmed-78076342021-01-14 Geometrical and dosimetric evaluation of breast target volume auto-contouring Simões, Rita Wortel, Geert Wiersma, Terry G. Janssen, Tomas M. van der Heide, Uulke A. Remeijer, Peter Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Automatic delineations are often used as a starting point in the radiotherapy contouring workflow, after which they are manually reviewed and adapted. The purpose of this work was to quantify the geometric differences between automatic and manually edited breast clinical target volume (CTV) contours and evaluate the dosimetric impact of such differences. MATERIALS AND METHODS: Eighty-seven automatically generated and manually edited contours of the left breast were retrieved from our clinical database. The automatic contours were obtained with a commercial auto-segmentation toolbox. The geometrical comparison was performed both locally and globally using the Dice score and the 95% Hausdorff distance (HD). Two treatment plans were generated for each patient and the obtained dosimetric differences were quantified using dose-volume histogram (DVH) parameters in the lungs, heart and planning target volume (PTV). An inter-observer variability study with four observers was performed on a subset of ten patients. RESULTS: A median Dice score of 0.95 and a median 95% HD of 9.7 mm were obtained. Larger breasts were consistently under-contoured. Cranial under-contouring resulted in more than 5% relative decrease in PTV coverage in 15% of the patients while lateroposterior over-contouring increased the lung V(20Gy) by a maximum of 2%. The inter-observer variability of the PTV coverage was smaller than the difference between PTV coverage achieved by the automatic and the consensus contours. CONCLUSIONS: Cranial under-contouring resulted in under-treatment, while lateroposterior over-contouring resulted in an increased lung dosage that is clinically irrelevant, showing the need to consider dose distributions to assess the clinical impact of local geometrical differences. Elsevier 2019-11-30 /pmc/articles/PMC7807634/ /pubmed/33458293 http://dx.doi.org/10.1016/j.phro.2019.11.003 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Simões, Rita
Wortel, Geert
Wiersma, Terry G.
Janssen, Tomas M.
van der Heide, Uulke A.
Remeijer, Peter
Geometrical and dosimetric evaluation of breast target volume auto-contouring
title Geometrical and dosimetric evaluation of breast target volume auto-contouring
title_full Geometrical and dosimetric evaluation of breast target volume auto-contouring
title_fullStr Geometrical and dosimetric evaluation of breast target volume auto-contouring
title_full_unstemmed Geometrical and dosimetric evaluation of breast target volume auto-contouring
title_short Geometrical and dosimetric evaluation of breast target volume auto-contouring
title_sort geometrical and dosimetric evaluation of breast target volume auto-contouring
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807634/
https://www.ncbi.nlm.nih.gov/pubmed/33458293
http://dx.doi.org/10.1016/j.phro.2019.11.003
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