Literature DB >> 22582216

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

Connie C W Hsia1, Merryn H Tawhai.   

Abstract

The interplay of mechanical forces transduces diverse physico-biochemical processes to influence lung morphogenesis, growth, maturation, remodeling and repair. Because tissue stress is difficult to measure in vivo, mechano-sensitive responses are commonly inferred from global changes in lung volume, shape, or compliance and correlated with structural changes in tissue blocks sampled from postmortem-fixed lungs. Recent advances in noninvasive volumetric imaging technology, nonrigid image registration, and deformation analysis provide valuable tools for the quantitative analysis of in vivo regional anatomy and air and tissue-blood distributions and when combined with transpulmonary pressure measurements, allow characterization of regional mechanical function, e.g., displacement, strain, shear, within and among intact lobes, as well as between the lung and the components of its container-rib cage, diaphragm, and mediastinum-thereby yielding new insights into the inter-related metrics of mechanical stress-strain and growth/remodeling. Here, we review the state-of-the-art imaging applications for mapping asymmetric heterogeneous physical interactions within the thorax and how these interactions permit as well as constrain lung growth, remodeling, and compensation during development and following pneumonectomy to illustrate how advanced imaging could facilitate the understanding of physiology and pathophysiology. Functional imaging promises to facilitate the formulation of realistic computational models of lung growth that integrate mechano-sensitive events over multiple spatial and temporal scales to accurately describe in vivo physiology and pathophysiology. Improved computational models in turn could enhance our ability to predict regional as well as global responses to experimental and therapeutic interventions.

Mesh:

Year:  2012        PMID: 22582216      PMCID: PMC3472481          DOI: 10.1152/japplphysiol.00289.2012

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


  90 in total

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Journal:  Ann Biomed Eng       Date:  2009-09-19       Impact factor: 3.934

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  6 in total

1.  Seeing may be believing.

Authors:  G Kim Prisk; H Thomas Robertson
Journal:  J Appl Physiol (1985)       Date:  2012-05-03

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Authors:  Nenad Filipovic; Barry C Gibney; Milos Kojic; Dalibor Nikolic; Velibor Isailovic; Alexandra Ysasi; Moritz A Konerding; Steven J Mentzer; Akira Tsuda
Journal:  J Appl Physiol (1985)       Date:  2013-08-29

3.  Separating in vivo mechanical stimuli for postpneumonectomy compensation: physiological assessment.

Authors:  D Merrill Dane; Cuneyt Yilmaz; Aaron S Estrera; Connie C W Hsia
Journal:  J Appl Physiol (1985)       Date:  2012-10-25

4.  Accurate high-resolution measurements of 3-D tissue dynamics with registration-enhanced displacement encoded MRI.

Authors:  Arnold D Gomez; Samer S Merchant; Edward W Hsu
Journal:  IEEE Trans Med Imaging       Date:  2014-03-14       Impact factor: 10.048

5.  Dynamic multiscale boundary conditions for 4D CT of healthy and emphysematous rats.

Authors:  Richard E Jacob; James P Carson; Mathew Thomas; Daniel R Einstein
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

6.  Extent of Spine Deformity Predicts Lung Growth and Function in Rabbit Model of Early Onset Scoliosis.

Authors:  J Casey Olson; Ayuko Takahashi; Michael P Glotzbecker; Brian D Snyder
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

  6 in total

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