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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...

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Autores principales: Zhang, Guifang, Han, Dali, Ma, Changsheng, Lu, Jie, Sun, Tao, Liu, Tonghai, Zhu, Jian, Zhou, Jingwei, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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