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Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations

PURPOSE: In radiotherapy, geometric indices are often used to evaluate the accuracy of contouring. However, the ability of geometric indices to identify the error of contouring results is limited primarily because they do not consider the clinical background. The purpose of this study is to investig...

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Detalles Bibliográficos
Autores principales: Xian, Lixun, Li, Guangjun, Xiao, Qing, Li, Zhibin, Zhang, Xiangbin, Chen, Li, Hu, Zhenyao, Bai, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427914/
https://www.ncbi.nlm.nih.gov/pubmed/34490802
http://dx.doi.org/10.1177/15330338211036325
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author Xian, Lixun
Li, Guangjun
Xiao, Qing
Li, Zhibin
Zhang, Xiangbin
Chen, Li
Hu, Zhenyao
Bai, Sen
author_facet Xian, Lixun
Li, Guangjun
Xiao, Qing
Li, Zhibin
Zhang, Xiangbin
Chen, Li
Hu, Zhenyao
Bai, Sen
author_sort Xian, Lixun
collection PubMed
description PURPOSE: In radiotherapy, geometric indices are often used to evaluate the accuracy of contouring. However, the ability of geometric indices to identify the error of contouring results is limited primarily because they do not consider the clinical background. The purpose of this study is to investigate the relationship between geometric and clinical dosimetric indices. METHODS: Four different types of targets were selected (C-shaped target, oropharyngeal cancer, metastatic spine cancer, and prostate cancer), and the translation, scaling, rotation, and sine function transformation were performed with the software Python to introduce systematic and random errors. The transformed contours were regarded as reference contours. Dosimetric indices were obtained from the original dose distribution of the radiotherapy plan. The correlations between geometric and dosimetric indices were quantified by linear regression. RESULTS: The correlations between the geometric and dosimetric indices were inconsistent. For systematic errors, and with the exception of the sine function transformation (R(2): 0.023-0.04, P > 0.05), the geometric transformations of the C-shaped target were correlated with the D98% and D(mean) (R(2): 0.689-0.988), 80% of which were P < 0.001. For the random errors, the correlations obtained by the all targets were R(2) > 0.384, P < 0.05. The Wilcoxon signed-rank test was used to compare the spatial direction resolution capability of geometric indices in different directions of the C-shaped target (with systematic errors), and the results showed only the volumetric geometric indices with P < 0.05. CONCLUSIONS: Clinically, an assessment of the contour accuracy of the region-of-interest is not feasible based on geometric indices alone. Dosimetric indices should be added to the evaluations of the accuracy of the delineation results, which can be helpful for explaining the clinical dose response relationship of delineation more comprehensively and accurately.
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spelling pubmed-84279142021-09-10 Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations Xian, Lixun Li, Guangjun Xiao, Qing Li, Zhibin Zhang, Xiangbin Chen, Li Hu, Zhenyao Bai, Sen Technol Cancer Res Treat Original Article PURPOSE: In radiotherapy, geometric indices are often used to evaluate the accuracy of contouring. However, the ability of geometric indices to identify the error of contouring results is limited primarily because they do not consider the clinical background. The purpose of this study is to investigate the relationship between geometric and clinical dosimetric indices. METHODS: Four different types of targets were selected (C-shaped target, oropharyngeal cancer, metastatic spine cancer, and prostate cancer), and the translation, scaling, rotation, and sine function transformation were performed with the software Python to introduce systematic and random errors. The transformed contours were regarded as reference contours. Dosimetric indices were obtained from the original dose distribution of the radiotherapy plan. The correlations between geometric and dosimetric indices were quantified by linear regression. RESULTS: The correlations between the geometric and dosimetric indices were inconsistent. For systematic errors, and with the exception of the sine function transformation (R(2): 0.023-0.04, P > 0.05), the geometric transformations of the C-shaped target were correlated with the D98% and D(mean) (R(2): 0.689-0.988), 80% of which were P < 0.001. For the random errors, the correlations obtained by the all targets were R(2) > 0.384, P < 0.05. The Wilcoxon signed-rank test was used to compare the spatial direction resolution capability of geometric indices in different directions of the C-shaped target (with systematic errors), and the results showed only the volumetric geometric indices with P < 0.05. CONCLUSIONS: Clinically, an assessment of the contour accuracy of the region-of-interest is not feasible based on geometric indices alone. Dosimetric indices should be added to the evaluations of the accuracy of the delineation results, which can be helpful for explaining the clinical dose response relationship of delineation more comprehensively and accurately. SAGE Publications 2021-09-07 /pmc/articles/PMC8427914/ /pubmed/34490802 http://dx.doi.org/10.1177/15330338211036325 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Xian, Lixun
Li, Guangjun
Xiao, Qing
Li, Zhibin
Zhang, Xiangbin
Chen, Li
Hu, Zhenyao
Bai, Sen
Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title_full Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title_fullStr Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title_full_unstemmed Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title_short Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
title_sort clinically oriented target contour evaluation using geometric and dosimetric indices based on simple geometric transformations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427914/
https://www.ncbi.nlm.nih.gov/pubmed/34490802
http://dx.doi.org/10.1177/15330338211036325
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