Ten conditions where lung ultrasonography may fail: limits, pitfalls and lessons learned from a computer-aided algorithmic approach.


Journal

Minerva anestesiologica
ISSN: 1827-1596
Titre abrégé: Minerva Anestesiol
Pays: Italy
ID NLM: 0375272

Informations de publication

Date de publication:
04 2022
Historique:
pubmed: 16 2 2022
medline: 14 4 2022
entrez: 15 2 2022
Statut: ppublish

Résumé

Lung ultrasonography provides relevant information on morphological and functional changes occurring in the lungs. However, it correlates weakly with pulmonary congestion and extra vascular lung water. Moreover, there is lack of consensus on scoring systems and acquisition protocols. The automation of this technique may provide promising easy-to-use clinical tools to reduce inter- and intra-observer variability and to standardize scores, allowing faster data collection without increased costs and patients risks.

Identifiants

pubmed: 35164490
pii: S0375-9393.22.16195-X
doi: 10.23736/S0375-9393.22.16195-X
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

308-313

Auteurs

Francesco Corradi (F)

Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy - francesco.corradi@unipi.it.
Anaesthesia and Intensive Care Unit, Galliera Hospital, Genoa, Italy - francesco.corradi@unipi.it.

Luigi Vetrugno (L)

Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy.
Department of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy.

Alessandro Isirdi (A)

Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.

Elena Bignami (E)

Section of Anesthesiology, Division of Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy.

Patrizia Boccacci (P)

Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, Italy.

Francesco Forfori (F)

Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.

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Classifications MeSH