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Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering
BACKGROUND: The key issues for performing lung volume reduction surgery (LVRS) is the identification of the target zones. Recently introduced three-dimensional computed tomography rendering methods are used to identify the morphological distribution and its severity of lung emphysema by densitometry...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487346/ https://www.ncbi.nlm.nih.gov/pubmed/32963992 http://dx.doi.org/10.1183/23120541.00305-2020 |
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author | Caviezel, Claudio Froehlich, Tamara Schneiter, Didier Muehlematter, Urs Frauenfelder, Thomas Guglielmetti, Laura-Chiara Opitz, Isabelle Weder, Walter |
author_facet | Caviezel, Claudio Froehlich, Tamara Schneiter, Didier Muehlematter, Urs Frauenfelder, Thomas Guglielmetti, Laura-Chiara Opitz, Isabelle Weder, Walter |
author_sort | Caviezel, Claudio |
collection | PubMed |
description | BACKGROUND: The key issues for performing lung volume reduction surgery (LVRS) is the identification of the target zones. Recently introduced three-dimensional computed tomography rendering methods are used to identify the morphological distribution and its severity of lung emphysema by densitometry. We demonstrate a new software for emphysema imaging and show the pre- and post-operative results in patients undergoing LVRS planned based on this new technology. METHODS: A real-time three-dimensional image analysis software system was used pre- and 3 months post-operatively in five patients with heterogeneous emphysema and a single patient with homogeneous morphology scheduled for LVRS. Focus was on low attenuation areas with <950 HU, distribution on both lungs and the value of the three-dimensional images for planning surgery. Functional outcome was assessed by pulmonary function tests after 3 months. RESULTS: Five patients underwent bilateral LVRS and one patient had unilateral LVRS. All patients showed a median increase in forced expiratory volume in 1 s of 70% (range 30–120%), compared with baseline values. Hyperinflation (expressed as residual volume/total lung capacity ratio) was reduced by 30% (range 5–32%). In the patients with heterogeneous emphysema, the pre- and post-operative computed tomography scans and the densitometries showed a decrease in low attenuation areas by 23% (right side) and by 17% (left side), respectively. CONCLUSION: We demonstrate three-dimensional computed tomography-rendered images for planning personalised remodelling of hyperinflated lungs using LVRS. This user-friendly software has the potential to assist surgeons and interventional pulmonologists to select patients and to visualise target areas in LVRS procedures. |
format | Online Article Text |
id | pubmed-7487346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-74873462020-09-21 Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering Caviezel, Claudio Froehlich, Tamara Schneiter, Didier Muehlematter, Urs Frauenfelder, Thomas Guglielmetti, Laura-Chiara Opitz, Isabelle Weder, Walter ERJ Open Res Original Articles BACKGROUND: The key issues for performing lung volume reduction surgery (LVRS) is the identification of the target zones. Recently introduced three-dimensional computed tomography rendering methods are used to identify the morphological distribution and its severity of lung emphysema by densitometry. We demonstrate a new software for emphysema imaging and show the pre- and post-operative results in patients undergoing LVRS planned based on this new technology. METHODS: A real-time three-dimensional image analysis software system was used pre- and 3 months post-operatively in five patients with heterogeneous emphysema and a single patient with homogeneous morphology scheduled for LVRS. Focus was on low attenuation areas with <950 HU, distribution on both lungs and the value of the three-dimensional images for planning surgery. Functional outcome was assessed by pulmonary function tests after 3 months. RESULTS: Five patients underwent bilateral LVRS and one patient had unilateral LVRS. All patients showed a median increase in forced expiratory volume in 1 s of 70% (range 30–120%), compared with baseline values. Hyperinflation (expressed as residual volume/total lung capacity ratio) was reduced by 30% (range 5–32%). In the patients with heterogeneous emphysema, the pre- and post-operative computed tomography scans and the densitometries showed a decrease in low attenuation areas by 23% (right side) and by 17% (left side), respectively. CONCLUSION: We demonstrate three-dimensional computed tomography-rendered images for planning personalised remodelling of hyperinflated lungs using LVRS. This user-friendly software has the potential to assist surgeons and interventional pulmonologists to select patients and to visualise target areas in LVRS procedures. European Respiratory Society 2020-09-14 /pmc/articles/PMC7487346/ /pubmed/32963992 http://dx.doi.org/10.1183/23120541.00305-2020 Text en Copyright ©ERS 2020 http://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Original Articles Caviezel, Claudio Froehlich, Tamara Schneiter, Didier Muehlematter, Urs Frauenfelder, Thomas Guglielmetti, Laura-Chiara Opitz, Isabelle Weder, Walter Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title | Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title_full | Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title_fullStr | Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title_full_unstemmed | Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title_short | Identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
title_sort | identification of target zones for lung volume reduction surgery using three-dimensional computed tomography rendering |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487346/ https://www.ncbi.nlm.nih.gov/pubmed/32963992 http://dx.doi.org/10.1183/23120541.00305-2020 |
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