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First-in-human diagnostic study of hepatic steatosis with computed ultrasound tomography in echo mode.
Stähli, Patrick; Becchetti, Chiara; Korta Martiartu, Naiara; Berzigotti, Annalisa; Frenz, Martin; Jaeger, Michael.
Afiliação
  • Stähli P; Institute of Applied Physics, University of Bern, Bern, Switzerland.
  • Becchetti C; Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Korta Martiartu N; Institute of Applied Physics, University of Bern, Bern, Switzerland.
  • Berzigotti A; Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Frenz M; Department of Biomedical Research, University of Bern, Bern, Switzerland.
  • Jaeger M; Institute of Applied Physics, University of Bern, Bern, Switzerland.
Commun Med (Lond) ; 3(1): 176, 2023 Dec 09.
Article em En | MEDLINE | ID: mdl-38071269
Non-alcoholic fatty liver disease (NAFLD), characterized by fat accumulation in the liver, is rapidly becoming the most common cause of chronic liver disease worldwide. Therefore, there is an urgent need to develop accurate diagnostic techniques that are inexpensive, non-invasive, and broadly available. Ultrasound imaging systems, which use sound waves to produce images of internal body structures, possess these qualities but cannot currently diagnose NAFLD accurately. Here, we propose to use a recently developed technique called computed ultrasound tomography in echo mode (CUTE). It measures the speed at which ultrasound waves propagate in tissues, a property that substantially varies with the fat content. We show that CUTE measurements allow us to accurately distinguish the livers of healthy people from those of individuals diagnosed with NAFLD. This promising finding encourages the integration of CUTE into standard ultrasound systems.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article