Your browser doesn't support javascript.
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.
Mento, Federico; Khan, Umair; Faita, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario.
  • Mento F; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.
  • Khan U; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.
  • Faita F; Institute of Clinical Physiology, National Research Council, Pisa, Italy.
  • Smargiassi A; Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Inchingolo R; Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Perrone T; Emergency Department, Humanitas Gavazzeni, Bergamo, Italy.
  • Demi L; Department of Information Engineering and Computer Science, University of Trento, Trento, Italy. Electronic address: libertario.demi@unitn.it.
Ultrasound Med Biol ; 48(12): 2398-2416, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2042183
ABSTRACT
Lung ultrasound (LUS) has been increasingly expanding since the 1990s, when the clinical relevance of vertical artifacts was first reported. However, the massive spread of LUS is only recent and is associated with the coronavirus disease 2019 (COVID-19) pandemic, during which semi-quantitative computer-aided techniques were proposed to automatically classify LUS data. In this review, we discuss the state of the art in LUS, from semi-quantitative image analysis approaches to quantitative techniques involving the analysis of radiofrequency data. We also discuss recent in vitro and in silico studies, as well as research on LUS safety. Finally, conclusions are drawn highlighting the potential future of LUS.
Subject(s)
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: Ultrasound Med Biol Year: 2022 Document Type: Article Affiliation country: J.ultrasmedbio.2022.07.007

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: Ultrasound Med Biol Year: 2022 Document Type: Article Affiliation country: J.ultrasmedbio.2022.07.007