Literature DB >> 33138522

Lung ultrasound: The future ahead and the lessons learned from COVID-19.

Libertario Demi1.   

Abstract

Lung ultrasound (LUS) is a rapidly evolving field of application for ultrasound technologies. Especially during the current pandemic, many clinicians around the world have employed LUS to assess the condition of the lung for patients suspected and/or affected by COVID-19. However, LUS is currently performed with standard ultrasound imaging, which is not designed to cope with the high air content present in lung tissues. Nowadays LUS lacks standardization and suffers from the absence of quantitative approaches. To elevate LUS to the level of other ultrasound imaging applications, several aspects deserve attention from the technical and clinical world. This overview piece tries to provide the reader with a forward-looking view on the future for LUS.

Entities:  

Mesh:

Year:  2020        PMID: 33138522     DOI: 10.1121/10.0002183

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  8 in total

1.  Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images.

Authors:  Roshan Roshankhah; Yasamin Karbalaeisadegh; Hastings Greer; Federico Mento; Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Elena Torri; Tiziano Perrone; Stephen Aylward; Libertario Demi; Marie Muller
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 2.482

2.  Comparison of two different lung ultrasound imaging protocols in COVID-19 pneumonia.

Authors:  Korgün Ökmen; Durdu Kahraman Yildiz; Emel Soyaslan; İlkay Ceylan; Halil Erkan Sayan; Cihan Sedat Aytünür
Journal:  Ultrasonography       Date:  2021-07-13

Review 3.  The Mechanisms Underlying Vertical Artifacts in Lung Ultrasound and Their Proper Utilization for the Evaluation of Cardiogenic Pulmonary Edema.

Authors:  Toru Kameda; Naohisa Kamiyama; Nobuyuki Taniguchi
Journal:  Diagnostics (Basel)       Date:  2022-01-20

Review 4.  State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.

Authors:  Federico Mento; Umair Khan; Francesco Faita; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone; Libertario Demi
Journal:  Ultrasound Med Biol       Date:  2022-09-22       Impact factor: 3.694

5.  An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis.

Authors:  S K B Sangeetha; M Sandeep Kumar; Deeba K; Hariharan Rajadurai; V Maheshwari; Gemmachis Teshite Dalu
Journal:  Comput Math Methods Med       Date:  2022-07-27       Impact factor: 2.809

6.  Reliability and clinical correlations of semi-quantitative lung ultrasound on BLUE points in COVID-19 mechanically ventilated patients: The 'BLUE-LUSS'-A feasibility clinical study.

Authors:  Gábor Orosz; Pál Gyombolai; József T Tóth; Marcell Szabó
Journal:  PLoS One       Date:  2022-10-14       Impact factor: 3.752

7.  The voice of COVID-19: Acoustic correlates of infection in sustained vowels.

Authors:  Katrin D Bartl-Pokorny; Florian B Pokorny; Anton Batliner; Shahin Amiriparian; Anastasia Semertzidou; Florian Eyben; Elena Kramer; Florian Schmidt; Rainer Schönweiler; Markus Wehler; Björn W Schuller
Journal:  J Acoust Soc Am       Date:  2021-06       Impact factor: 1.840

8.  On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed?

Authors:  Federico Mento; Tiziano Perrone; Veronica Narvena Macioce; Francesco Tursi; Danilo Buonsenso; Elena Torri; Andrea Smargiassi; Riccardo Inchingolo; Gino Soldati; Libertario Demi
Journal:  J Ultrasound Med       Date:  2020-11-24       Impact factor: 2.754

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.