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Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning
BACKGROUND: To validate a gradient-based segmentation method for gross tumor volume(GTV) delineation on (8)F-fluorothymidine (FLT)positron emission tomography (PET)/ computer tomography (CT) in esophageal squamous cell cancer through pathologic specimen, in comparison with standardized uptake values...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331414/ https://www.ncbi.nlm.nih.gov/pubmed/25572431 http://dx.doi.org/10.1186/s13014-014-0304-5 |
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author | Zhang, Guifang Han, Dali Ma, Changsheng Lu, Jie Sun, Tao Liu, Tonghai Zhu, Jian Zhou, Jingwei Yin, Yong |
author_facet | Zhang, Guifang Han, Dali Ma, Changsheng Lu, Jie Sun, Tao Liu, Tonghai Zhu, Jian Zhou, Jingwei Yin, Yong |
author_sort | Zhang, Guifang |
collection | PubMed |
description | BACKGROUND: To validate a gradient-based segmentation method for gross tumor volume(GTV) delineation on (8)F-fluorothymidine (FLT)positron emission tomography (PET)/ computer tomography (CT) in esophageal squamous cell cancer through pathologic specimen, in comparison with standardized uptake values (SUV) threshold-based methods and CT. The corresponding impact of this GTV delineation method on treatment planning was evaluated. METHODS AND MATERIALS: Ten patients with esophageal squamous cell cancer were enrolled. Before radical surgery, all patients underwent FLT-PET/CT. GTVs were delineated by using four methods. GTV(GRAD), GTV(1.4) and GTV(30%max) were segmented on FLT PET using a gradient-based method, a fixed threshold of 1.4 SUV and 30% of SUV(max), respectively. GTV(CT) was based on CT data alone. The maximum longitudinal tumor length of each segmented GTV was compared with the measured tumor length of the pathologic gross tumor length (L(Path)). GTV(GRAD), GTV(1.4) and GTV(30%max) were compared with GTV(CT) by overlap index. Two radiotherapy plannings (plan(GRAD)) and (plan(CT)) were designed for each patient based on GTV(GRAD) and GTV(CT). The dose-volume parameters for target volume and normal tissues, CI and HI of plan(GRAD) and plan(CT) were compared. RESULTS: The mean ± standard deviation of L(Path) was 6.47 ± 2.70 cm. The mean ± standard deviation of L(GRAD),L(1.4), L(30%max) and L(CT) were 6.22 ± 2.61, 6.23 ± 2.80, 5.95 ± 2.50,7.17 ± 2.28 cm, respectively. The Pearson correlation coefficients between L(Path) and each segmentation method were 0.989, 0.920, 0.920 and 0.862, respectively. The overlap indices of GTV(GRAD), GTV(1.4), GTV(30%max) when compared with GTV(CT) were 0.75 ± 0.12, 0.71 ± 0.12, 0.57 ± 0.10, respectively. The V(5), V(10), V(20), V(30) and mean dose of total-lung,V(30) and mean dose of heart of plan(GRAD) were significantly lower than plan(CT). CONCLUSIONS: The gradient-based method provided the closest estimation of target length. The radiotherapy plannings based on the gradient-based segmentation method reduced the irradiated volume of lung, heart in comparison to CT. |
format | Online Article Text |
id | pubmed-4331414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43314142015-02-19 Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning Zhang, Guifang Han, Dali Ma, Changsheng Lu, Jie Sun, Tao Liu, Tonghai Zhu, Jian Zhou, Jingwei Yin, Yong Radiat Oncol Research BACKGROUND: To validate a gradient-based segmentation method for gross tumor volume(GTV) delineation on (8)F-fluorothymidine (FLT)positron emission tomography (PET)/ computer tomography (CT) in esophageal squamous cell cancer through pathologic specimen, in comparison with standardized uptake values (SUV) threshold-based methods and CT. The corresponding impact of this GTV delineation method on treatment planning was evaluated. METHODS AND MATERIALS: Ten patients with esophageal squamous cell cancer were enrolled. Before radical surgery, all patients underwent FLT-PET/CT. GTVs were delineated by using four methods. GTV(GRAD), GTV(1.4) and GTV(30%max) were segmented on FLT PET using a gradient-based method, a fixed threshold of 1.4 SUV and 30% of SUV(max), respectively. GTV(CT) was based on CT data alone. The maximum longitudinal tumor length of each segmented GTV was compared with the measured tumor length of the pathologic gross tumor length (L(Path)). GTV(GRAD), GTV(1.4) and GTV(30%max) were compared with GTV(CT) by overlap index. Two radiotherapy plannings (plan(GRAD)) and (plan(CT)) were designed for each patient based on GTV(GRAD) and GTV(CT). The dose-volume parameters for target volume and normal tissues, CI and HI of plan(GRAD) and plan(CT) were compared. RESULTS: The mean ± standard deviation of L(Path) was 6.47 ± 2.70 cm. The mean ± standard deviation of L(GRAD),L(1.4), L(30%max) and L(CT) were 6.22 ± 2.61, 6.23 ± 2.80, 5.95 ± 2.50,7.17 ± 2.28 cm, respectively. The Pearson correlation coefficients between L(Path) and each segmentation method were 0.989, 0.920, 0.920 and 0.862, respectively. The overlap indices of GTV(GRAD), GTV(1.4), GTV(30%max) when compared with GTV(CT) were 0.75 ± 0.12, 0.71 ± 0.12, 0.57 ± 0.10, respectively. The V(5), V(10), V(20), V(30) and mean dose of total-lung,V(30) and mean dose of heart of plan(GRAD) were significantly lower than plan(CT). CONCLUSIONS: The gradient-based method provided the closest estimation of target length. The radiotherapy plannings based on the gradient-based segmentation method reduced the irradiated volume of lung, heart in comparison to CT. BioMed Central 2015-01-09 /pmc/articles/PMC4331414/ /pubmed/25572431 http://dx.doi.org/10.1186/s13014-014-0304-5 Text en © Zhang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Zhang, Guifang Han, Dali Ma, Changsheng Lu, Jie Sun, Tao Liu, Tonghai Zhu, Jian Zhou, Jingwei Yin, Yong Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title_full | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title_fullStr | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title_full_unstemmed | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title_short | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
title_sort | gradient-based delineation of the primary gtv on flt pet in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331414/ https://www.ncbi.nlm.nih.gov/pubmed/25572431 http://dx.doi.org/10.1186/s13014-014-0304-5 |
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