Cargando…
A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients
BACKGROUND: Functional planning based merely on 4DCT ventilation imaging has limitations. In this study, we proposed a radiotherapy planning strategy based on 4DCT ventilation imaging and CT density characteristics. MATERIALS AND METHODS: For 20 stage III non-small-cell lung cancer (NSCLC) patients,...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604857/ https://www.ncbi.nlm.nih.gov/pubmed/34351454 http://dx.doi.org/10.1007/s00066-021-01821-1 |
_version_ | 1784602047852576768 |
---|---|
author | Feng, AiHui Shao, Yan Wang, Hao Chen, Hua Gu, HengLe Duan, YanHua Gan, WuTian Xu, ZhiYong |
author_facet | Feng, AiHui Shao, Yan Wang, Hao Chen, Hua Gu, HengLe Duan, YanHua Gan, WuTian Xu, ZhiYong |
author_sort | Feng, AiHui |
collection | PubMed |
description | BACKGROUND: Functional planning based merely on 4DCT ventilation imaging has limitations. In this study, we proposed a radiotherapy planning strategy based on 4DCT ventilation imaging and CT density characteristics. MATERIALS AND METHODS: For 20 stage III non-small-cell lung cancer (NSCLC) patients, clinical plans and lung-avoidance plans were generated. Through deformable image registration (DIR) and quantitative image analysis, a 4DCT ventilation map was calculated. High-, medium-, and low-ventilation regions of the lung were defined based on the ventilation value. In addition, the total lung was also divided into high-, medium-, and low-density areas according to the HU threshold. The lung-avoidance plan aimed to reduce the dose to functional and high-density lungs while meeting standard target and critical structure constraints. Standard and dose–function metrics were compared between the clinical and lung-avoidance plans. RESULTS: Lung avoidance plans led to significant reductions in high-function and high-density lung doses, without significantly increasing other organ at risk (OAR) doses, but at the expense of a significantly degraded homogeneity index (HI) and conformity index (CI; p < 0.05) of the planning target volume (PTV) and a slight increase in monitor units (MU) as well as in the number of segments (p > 0.05). Compared with the clinical plan, the mean lung dose (MLD) in the high-function and high-density areas was reduced by 0.59 Gy and 0.57 Gy, respectively. CONCLUSION: A lung-avoidance plan based on 4DCT ventilation imaging and CT density characteristics is feasible and implementable, with potential clinical benefits. Clinical trials will be crucial to show the clinical relevance of this lung-avoidance planning strategy. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s00066-021-01821-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8604857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86048572021-12-03 A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients Feng, AiHui Shao, Yan Wang, Hao Chen, Hua Gu, HengLe Duan, YanHua Gan, WuTian Xu, ZhiYong Strahlenther Onkol Original Article BACKGROUND: Functional planning based merely on 4DCT ventilation imaging has limitations. In this study, we proposed a radiotherapy planning strategy based on 4DCT ventilation imaging and CT density characteristics. MATERIALS AND METHODS: For 20 stage III non-small-cell lung cancer (NSCLC) patients, clinical plans and lung-avoidance plans were generated. Through deformable image registration (DIR) and quantitative image analysis, a 4DCT ventilation map was calculated. High-, medium-, and low-ventilation regions of the lung were defined based on the ventilation value. In addition, the total lung was also divided into high-, medium-, and low-density areas according to the HU threshold. The lung-avoidance plan aimed to reduce the dose to functional and high-density lungs while meeting standard target and critical structure constraints. Standard and dose–function metrics were compared between the clinical and lung-avoidance plans. RESULTS: Lung avoidance plans led to significant reductions in high-function and high-density lung doses, without significantly increasing other organ at risk (OAR) doses, but at the expense of a significantly degraded homogeneity index (HI) and conformity index (CI; p < 0.05) of the planning target volume (PTV) and a slight increase in monitor units (MU) as well as in the number of segments (p > 0.05). Compared with the clinical plan, the mean lung dose (MLD) in the high-function and high-density areas was reduced by 0.59 Gy and 0.57 Gy, respectively. CONCLUSION: A lung-avoidance plan based on 4DCT ventilation imaging and CT density characteristics is feasible and implementable, with potential clinical benefits. Clinical trials will be crucial to show the clinical relevance of this lung-avoidance planning strategy. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s00066-021-01821-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2021-08-05 2021 /pmc/articles/PMC8604857/ /pubmed/34351454 http://dx.doi.org/10.1007/s00066-021-01821-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Feng, AiHui Shao, Yan Wang, Hao Chen, Hua Gu, HengLe Duan, YanHua Gan, WuTian Xu, ZhiYong A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title | A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title_full | A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title_fullStr | A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title_full_unstemmed | A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title_short | A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients |
title_sort | a novel lung-avoidance planning strategy based on 4dct ventilation imaging and ct density characteristics for stage iii non-small-cell lung cancer patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604857/ https://www.ncbi.nlm.nih.gov/pubmed/34351454 http://dx.doi.org/10.1007/s00066-021-01821-1 |
work_keys_str_mv | AT fengaihui anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT shaoyan anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT wanghao anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT chenhua anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT guhengle anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT duanyanhua anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT ganwutian anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients AT xuzhiyong anovellungavoidanceplanningstrategybasedon4dctventilationimagingandctdensitycharacteristicsforstageiiinonsmallcelllungcancerpatients |