Alveolar dynamics in acute lung injury: Heterogeneous distension rather than cyclic opening and collapse*

Mertens, Michael; Tabuchi, Arata; Meißner, Sven; Krueger, Alexander; Schirrmann, Kerstin; Kertzscher, Ulrich; Pries, Axel R.; Slutsky, Arthur S.; Koch, Edmund; Kuebler, Wolfgang M.

doi:10.1097/ccm.0b013e3181a5544d

Cited by 127 publications

(129 citation statements)

References 32 publications

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“…However, physiological motion of the chest from breathing and a beating heart greatly impairs image acquisition and thus prevents the extensive quantitative analysis of dynamic phenomena observed in the [30] 1925 Lung clamping Light microscopy Cat, rabbit [22] 1930 Manual tracking of lung movements using a mobile microscope Light microscopy Dog, frog, alligator [31] 1933 Lung clamping Light microscopy Rabbit, cat, dog [21] 1934 Curare Light microscopy Cat [48] 1969 Suction Light microscopy Dog [23] 1993 Implanted thoracic window Videomicroscopy Rabbit [58] 1998 Implanted thoracic window Videomicroscopy Rabbit [37] 1999 Apnea Confocal Rat [36] 1999 Apnea Confocal Rat [24] 2000 Suction Videomicroscopy Rat [50] 2000 Suction Confocal Mouse [38] 2001 Apnea Videomicroscopy Rat [45] 2004 Suction Videomicroscopy Mouse [25] 2008 Apnea Videomicroscopy Mouse [26] 2009 Slow breathing; apnea; implanted thoracic window lungs of living animals. For this reason, and for several centuries, the investigation of dynamic phenomena at a microscopic scale in the lungs of a living animal has been uniquely based on the subjective interpretation of the experimenter's observation.…”

Section: Historical Prologuementioning

confidence: 99%

“…The animal preparation prior to imaging is performed according to this consensual protocol [11,18,[23][24][25][26][27][28][29]:…”

Section: Animal Preparation and Surgerymentioning

confidence: 99%

“…While mouse physiology requires a breathing frequency of 106 bpm to 230 bpm, depending upon other factors such as strain and weight [57], it is possible to modulate this frequency to 130 bpm [28], 120 bpm [11,27,29], 100 bpm [25], or even 60 bpm for the recording period after which ventilation is returned to 100 bpm [26]. This decrease of the breathing frequency noticeably increases stability of the images.…”

Section: Additional Techniquesmentioning

confidence: 99%

“…A variant consists in the use of a soft window, generally a polymer membrane, sealed over the thoracotomy [25,26,56]. …”

Section: Additional Techniquesmentioning

confidence: 99%

“…In the quest for minimal invasiveness of lung IVM techniques, the use of a rigid glass window, either sealed [45] or freely laying upon the chest [11], or of a sealed flexible membrane [25,26,56] seems a worthy approach. This not only protects the parenchyma from both the outside environment and traumatic injuries potentially caused by the microscope objective, but also prevents the organ from drying and maintains the physiological vacuum within the pleural space that prevents the lung from collapsing.…”

Section: Thoracotomymentioning

confidence: 99%

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Intravital microscopy of the lung: minimizing invasiveness

Fiole

Tournier

2016

Journal of Biophotonics

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In vivo microscopy has recently become a gold standard in lung immunology studies involving small animals, largely benefiting from the democratization of multiphoton microscopy allowing for deep tissue imaging. This technology represents currently our only way of exploring the lungs and inferring what happens in human respiratory medicine. The interest of lung in vivo microscopy essentially relies upon its relevance as a study model, fulfilling physiological requirements in comparison with in vitro and ex vivo experiments. However, strategies developed in order to overcome movements of the thorax caused by breathing and heartbeats remain the chief drawback of the technique and a major source of invasiveness. In this context, minimizing invasiveness is an unavoidable prerequisite for any improvement of lung in vivo microscopy. This review puts into perspective the main techniques enabling lung in vivo microscopy, providing pros and cons regarding invasiveness.

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Section: Historical Prologuementioning

confidence: 99%

“…The animal preparation prior to imaging is performed according to this consensual protocol [11,18,[23][24][25][26][27][28][29]:…”

Section: Animal Preparation and Surgerymentioning

confidence: 99%

Section: Additional Techniquesmentioning

confidence: 99%

“…A variant consists in the use of a soft window, generally a polymer membrane, sealed over the thoracotomy [25,26,56]. …”

Section: Additional Techniquesmentioning

confidence: 99%

Section: Thoracotomymentioning

confidence: 99%

See 3 more Smart Citations

Intravital microscopy of the lung: minimizing invasiveness

Fiole

Tournier

2016

Journal of Biophotonics

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Alveolar Microdynamics during Tidal Ventilation in Live Animals Imaged by SPring‐8 Synchrotron

Kim,

Yu,

Yang

et al. 2024

Advanced Science

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It is self‐evident that our chests expand and contract during breathing but, surprisingly, exactly how individual alveoli change shape over the respiratory cycle is still a matter of debate. Some argue that all the alveoli expand and contract rhythmically. Others claim that the lung volume change is due to groups of alveoli collapsing and reopening during ventilation. Although this question might seem to be an insignificant detail for healthy individuals, it might be a matter of life and death for patients with compromised lungs. Past analyses were based on static post‐mortem preparations primarily due to technological limitations, and therefore, by definition, incapable of providing dynamic information. In contrast, this study provides the first comprehensive dynamic data on how the shape of the alveoli changes, and, further, provides valuable insights into the optimal lung volume for efficient gas exchange. It is concluded that alveolar micro‐dynamics is nonlinear; and at medium lung volume, alveoli expand more than the ducts.

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Morphological Characterization of Acinar Cluster in Mouse Lung Using a Multiscale‐based Segmentation Algorithm on Synchrotron Micro‐CT Images

Xiao

Sera

Koshiyama

et al. 2016

The Anatomical Record

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Understanding the three-dimensional morphology of pulmonary acini is essential when exploring the biomechanics of respiratory function. In this study, we characterized the morphology of individual acini and a cluster of acini stemming from the same terminal conducting airway using a quantitative approach based on the semi-automatic segmentation of synchrotron micro-CT images of mouse lung. The volume and surface area of five clusters of mouse acini including 50 individual acini were estimated based on the voxel and surface mesh of segmented acini at FRC. The pathway length and width were estimated for one cluster including 15 acini based on the skeleton of segmented acini. The acinar volume was 0.09 ± 0.07 mm(3) (mean ± SD), and the surface area was 6.82 ± 4.49 mm(2) , in agreement with previous studies. The volume of the acinar clusters was 0.89 ± 0.34 mm(3) , and the surface area was 68.18 ± 17.66 mm(2) . The largest volume acinus per cluster was found in the distal region of the terminal conducting airway, and apparent respiratory bronchioles were observed only in large-volume acini. The generation number of pathways per acinus was 8 ± 2 (range: 6-12). The pathway length at lower generations (generations 2-6) increased with the generation number in a single cluster, while did not significantly change at lower generations in some acinar groups. The pathway width increased with increasing generation numbers. Our approach characterized the quantitative morphology of pulmonary acinar clusters in mouse lung, and the results can be used in further biomechanical simulation studies. Anat Rec, 299:1424-1434, 2016. © 2016 Wiley Periodicals, Inc.

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Alveolar dynamics in acute lung injury: Heterogeneous distension rather than cyclic opening and collapse*

Cited by 127 publications

References 32 publications

Intravital microscopy of the lung: minimizing invasiveness

Intravital microscopy of the lung: minimizing invasiveness

Alveolar Microdynamics during Tidal Ventilation in Live Animals Imaged by SPring‐8 Synchrotron

Morphological Characterization of Acinar Cluster in Mouse Lung Using a Multiscale‐based Segmentation Algorithm on Synchrotron Micro‐CT Images

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