Literature DB >> 19589959

Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape.

Merryn H Tawhai1, Martyn P Nash, Ching-Long Lin, Eric A Hoffman.   

Abstract

The explanation for prone and supine differences in tissue density and pleural pressure gradients in the healthy lung has been inferred from several studies as compression of dependent tissue by the heart in the supine posture; however, this hypothesis has not been directly confirmed. Differences could also arise from change in shape of the chest wall and diaphragm, and because of shape with respect to gravity. The contribution of this third mechanism is explored here. Tissue density and static elastic recoil were estimated in the supine and prone left human lung at functional residual capacity using a finite-element analysis. Supine model geometries were derived from multidetector row computed tomography imaging of two subjects: one normal (subject 1), and one with small airway disease (subject 2). For each subject, the prone model was the supine lung shape with gravity reversed; therefore, the prone model was isolated from the influence of displacement of the diaphragm, chest wall, or heart. Model estimates were validated against multidetector row computed tomography measurement of regional density for each subject supine and an independent study of the prone and supine lung. The magnitude of the gradient in density supine (-4.33%/cm for subject 1, and -4.96%/cm for subject 2) was nearly twice as large as for the prone lung (-2.72%/cm for subject 1, and -2.51%/cm for subject 2), consistent with measurements in dogs. The corresponding pleural pressure gradients were 0.54 cmH(2)O/cm (subject 1) and 0.56 cmH(2)O/cm (subject 2) for supine, and 0.29 cmH(2)O/cm (subject 1) and 0.27 cmH(2)O/cm (subject 2) for prone. A smaller prone gradient was predicted without shape change of the "container" or support of the heart by the lung. The influence of the heart was to constrain the shape in which the lung deformed.

Entities:  

Mesh:

Year:  2009        PMID: 19589959      PMCID: PMC2755995          DOI: 10.1152/japplphysiol.00324.2009

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  28 in total

1.  The prone position eliminates compression of the lungs by the heart.

Authors:  R K Albert; R D Hubmayr
Journal:  Am J Respir Crit Care Med       Date:  2000-05       Impact factor: 21.405

2.  Anatomically based geometric modelling of the musculo-skeletal system and other organs.

Authors:  J W Fernandez; P Mithraratne; S F Thrupp; M H Tawhai; P J Hunter
Journal:  Biomech Model Mechanobiol       Date:  2003-12-17

3.  Stress, deformation, and atelectasis of the lung.

Authors:  Y C Fung
Journal:  Circ Res       Date:  1975-10       Impact factor: 17.367

4.  Effect of prone position on regional shunt, aeration, and perfusion in experimental acute lung injury.

Authors:  Torsten Richter; Giacomo Bellani; R Scott Harris; Marcos F Vidal Melo; Tilo Winkler; Jose G Venegas; Guido Musch
Journal:  Am J Respir Crit Care Med       Date:  2005-05-18       Impact factor: 21.405

5.  Improved measurements of shear modulus and pleural membrane tension of the lung.

Authors:  M A Hajji; T A Wilson; S J Lai-Fook
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1979-07

6.  Effects of anesthesia and paralysis on diaphragmatic mechanics in man.

Authors:  A B Froese; A C Bryan
Journal:  Anesthesiology       Date:  1974-09       Impact factor: 7.892

7.  Stresses, strains, and surface pressures in the lung caused by its weight.

Authors:  J B West; F L Matthews
Journal:  J Appl Physiol       Date:  1972-03       Impact factor: 3.531

8.  Isotropy and homogeneity of lung tissue deformation.

Authors:  R C Tai; G C Lee
Journal:  J Biomech       Date:  1981       Impact factor: 2.712

9.  Topographical distribution of regional lung volume in anesthetized dogs.

Authors:  R D Hubmayr; B J Walters; P A Chevalier; J R Rodarte; L E Olson
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1983-04

10.  Model of elasticity of the human lung.

Authors:  R De Wilde; J Clément; J M Hellemans; M Decramer; M Demedts; R Boving; K P Van de Woestijne
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1981-08
View more
  60 in total

1.  Assessing potential errors of MRI-based measurements of pulmonary blood flow using a detailed network flow model.

Authors:  K S Burrowes; R B Buxton; G K Prisk
Journal:  J Appl Physiol (1985)       Date:  2012-04-26

2.  Vascular compromise and hemodynamics in pulmonary arterial hypertension: model predictions.

Authors:  Zoheir Bshouty
Journal:  Can Respir J       Date:  2012 May-Jun       Impact factor: 2.409

3.  Automatic, three-segment, MR-based attenuation correction for whole-body PET/MR data.

Authors:  V Schulz; I Torres-Espallardo; S Renisch; Z Hu; N Ojha; P Börnert; M Perkuhn; T Niendorf; W M Schäfer; H Brockmann; T Krohn; A Buhl; R W Günther; F M Mottaghy; G A Krombach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-10-05       Impact factor: 9.236

Review 4.  What can imaging tell us about physiology? Lung growth and regional mechanical strain.

Authors:  Connie C W Hsia; Merryn H Tawhai
Journal:  J Appl Physiol (1985)       Date:  2012-05-10

Review 5.  Imaging for lung physiology: what do we wish we could measure?

Authors:  H Thomas Robertson; Richard B Buxton
Journal:  J Appl Physiol (1985)       Date:  2012-05-10

6.  Computational modeling of airway and pulmonary vascular structure and function: development of a "lung physiome".

Authors:  Merryn Tawhai; A Clark; G Donovan; K Burrowes
Journal:  Crit Rev Biomed Eng       Date:  2011

7.  Multi-scale lung modeling.

Authors:  Merryn H Tawhai; Jason H T Bates
Journal:  J Appl Physiol (1985)       Date:  2011-02-03

8.  The interdependent contributions of gravitational and structural features to perfusion distribution in a multiscale model of the pulmonary circulation.

Authors:  A R Clark; M H Tawhai; E A Hoffman; K S Burrowes
Journal:  J Appl Physiol (1985)       Date:  2011-02-03

Review 9.  Mechanisms of the effects of prone positioning in acute respiratory distress syndrome.

Authors:  C Guerin; L Baboi; J C Richard
Journal:  Intensive Care Med       Date:  2014-09-30       Impact factor: 17.440

10.  Comparison of generic and subject-specific models for simulation of pulmonary perfusion and forced expiration.

Authors:  Kerry L Hedges; Alys R Clark; Merryn H Tawhai
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.