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Preservation of normal lung regions in the adult respiratory distress syndrome. Analysis by computed tomography

Richard J. Maunder·1986·JAMA

Abstract

In this report, we challenge the commonly held assumption that the adult respiratory distress syndrome (ARDS) is a homogeneous process associated with generalized and relatively uniform damage to the alveolar capillary membrane. We studied 13 patients with ARDS, comparing the pulmonary parenchymal changes seen by standard bedside chest roentgenograms with those seen by computed tomography of the chest. Three patients demonstrated generalized lung involvement by both radiologic techniques. In another eight patients, despite the appearance of generalized involvement on the standard chest x-ray film, the computed tomographic scans showed patchy infiltrates interspersed with areas of normal-appearing lung. Two patients showed patchy involvement by both techniques. The fact that ARDS spares some regions of lung parenchyma is useful knowledge in understanding the gas-exchange abnormalities of ARDS, the variable responsiveness to positive end-expiratory pressure, and the occurrence of oxygen toxicity. The problem of regional inhomogeneity should also be kept in mind when interpreting lung biopsy specimens or bronchoalveolar lavage fluid in patients with ARDS.

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Metadata

Authors
Maunder, R. J.
Venue
JAMA
Publisher
American Medical Association
Published
1986-05-09
Volume
255
Issue
18
Pages
2463-2465
ISSN
0002-9955 (ISSN-L)
OpenAlex
W4234847617
Cited by
303
References
0
FWCI
4.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Preservation of normal lung regions in the adult respiratory distress syndrome. Analysis by computed tomography. https://app.cochat.ai/papers/10.1001/jama.255.18.2463
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Maunder, R. J. (1986). Preservation of normal lung regions in the adult respiratory distress syndrome. Analysis by computed tomography. JAMA. https://doi.org/10.1001/jama.255.18.2463

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.