Mento F, Khan U, Faita F, Smargiassi A, Inchingolo R, Perrone T, Demi L. State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.
ULTRASOUND IN MEDICINE & BIOLOGY 2022;
48:2398-2416. [PMID:
36155147 PMCID:
PMC9499741 DOI:
10.1016/j.ultrasmedbio.2022.07.007]
[Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/12/2022] [Accepted: 07/15/2022] [Indexed: 05/27/2023]
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.
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