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Lung Ultrasound Artifacts Interpreted as Pathology Footprints.
Demi, Marcello; Soldati, Gino; Ramalli, Alessandro.
Afiliación
  • Demi M; Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56126 Pisa, Italy.
  • Soldati G; Ippocrate Medical Center, 55032 Lucca, Italy.
  • Ramalli A; Department of Information Engineering, University of Florence, 50139 Florence, Italy.
Diagnostics (Basel) ; 13(6)2023 Mar 16.
Article en En | MEDLINE | ID: mdl-36980450
ABSTRACT

BACKGROUND:

The original observation that lung ultrasound provides information regarding the physical state of the organ, rather than the anatomical details related to the disease, has reinforced the idea that the observed acoustic signs represent artifacts. However, the definition of artifact does not appear adequate since pulmonary ultrasound signs have shown valuable diagnostic accuracy, which has been usefully exploited by physicians in numerous pathologies.

METHOD:

A specific method has been used over the years to analyze lung ultrasound data and to convert artefactual information into anatomical information.

RESULTS:

A physical explanation of the genesis of the acoustic signs is provided, and the relationship between their visual characteristics and the surface histopathology of the lung is illustrated. Two important sources of potential signal alteration are also highlighted.

CONCLUSIONS:

The acoustic signs are generated by acoustic traps that progressively release previously trapped energy. Consequently, the acoustic signs highlight the presence of acoustic traps and quantitatively describe their distribution on the lung surface; they are not artifacts, but pathology footprints and anatomical information. Moreover, the impact of the dynamic focusing algorithms and the impact of different probes on the visual aspect of the acoustic signs should not be neglected.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia