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Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography

Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necrops...

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Autores principales: Pienn, Michael, Burgard, Caroline, Payer, Christian, Avian, Alexander, Urschler, Martin, Stollberger, Rudolf, Olschewski, Andrea, Olschewski, Horst, Johnson, Thorsten, Meinel, Felix G., Bálint, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932382/
https://www.ncbi.nlm.nih.gov/pubmed/29755360
http://dx.doi.org/10.3389/fphys.2018.00346
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author Pienn, Michael
Burgard, Caroline
Payer, Christian
Avian, Alexander
Urschler, Martin
Stollberger, Rudolf
Olschewski, Andrea
Olschewski, Horst
Johnson, Thorsten
Meinel, Felix G.
Bálint, Zoltán
author_facet Pienn, Michael
Burgard, Caroline
Payer, Christian
Avian, Alexander
Urschler, Martin
Stollberger, Rudolf
Olschewski, Andrea
Olschewski, Horst
Johnson, Thorsten
Meinel, Felix G.
Bálint, Zoltán
author_sort Pienn, Michael
collection PubMed
description Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2–99.9%). The median number of vessel segments in the ranges of 8–10, 6–8, 4–6, and 2–4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3–144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels.
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spelling pubmed-59323822018-05-11 Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography Pienn, Michael Burgard, Caroline Payer, Christian Avian, Alexander Urschler, Martin Stollberger, Rudolf Olschewski, Andrea Olschewski, Horst Johnson, Thorsten Meinel, Felix G. Bálint, Zoltán Front Physiol Physiology Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2–99.9%). The median number of vessel segments in the ranges of 8–10, 6–8, 4–6, and 2–4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3–144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels. Frontiers Media S.A. 2018-04-10 /pmc/articles/PMC5932382/ /pubmed/29755360 http://dx.doi.org/10.3389/fphys.2018.00346 Text en Copyright © 2018 Pienn, Burgard, Payer, Avian, Urschler, Stollberger, Olschewski, Olschewski, Johnson, Meinel and Bálint. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Pienn, Michael
Burgard, Caroline
Payer, Christian
Avian, Alexander
Urschler, Martin
Stollberger, Rudolf
Olschewski, Andrea
Olschewski, Horst
Johnson, Thorsten
Meinel, Felix G.
Bálint, Zoltán
Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_full Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_fullStr Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_full_unstemmed Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_short Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_sort healthy lung vessel morphology derived from thoracic computed tomography
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932382/
https://www.ncbi.nlm.nih.gov/pubmed/29755360
http://dx.doi.org/10.3389/fphys.2018.00346
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