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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...

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Autores principales: Caviezel, Claudio, Froehlich, Tamara, Schneiter, Didier, Muehlematter, Urs, Frauenfelder, Thomas, Guglielmetti, Laura-Chiara, Opitz, Isabelle, Weder, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2020
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.
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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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