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  1. Article: Where Are We? The Past, Present and Future of Thoracic Ultrasound.

    Zanforlin, Alessandro

    Journal of clinical medicine

    2023  Volume 12, Issue 14

    Abstract: The technique of thoracic ultrasound is living through a progressive rise in clinical routine [ ... ]. ...

    Abstract The technique of thoracic ultrasound is living through a progressive rise in clinical routine [...].
    Language English
    Publishing date 2023-07-08
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12144559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Trick or Trap? Reply to Vertical Artifacts as Lung Ultrasound Signs.

    Smargiassi, Andrea / Zanforlin, Alessandro / Tursi, Francesco / Soldati, Gino / Inchingolo, Riccardo

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2023  Volume 43, Issue 1, Page(s) 215–216

    MeSH term(s) Humans ; Artifacts ; Lung/diagnostic imaging ; Ultrasonography
    Language English
    Publishing date 2023-09-21
    Publishing country England
    Document type Letter
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.16337
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1793: Show issues Location:
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    Zs.MO 495: Show issues

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  3. Article ; Online: How Is COVID-19 Changing Lung Ultrasound? A Survey by the Thoracic Ultrasound Academy.

    Zanforlin, Alessandro / Tursi, Francesco

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2020  Volume 40, Issue 2, Page(s) 417–418

    MeSH term(s) COVID-19/diagnostic imaging ; Health Care Surveys/methods ; Health Care Surveys/statistics & numerical data ; Humans ; Italy ; Lung/diagnostic imaging ; SARS-CoV-2 ; Ultrasonography/methods ; Ultrasonography/statistics & numerical data
    Keywords covid19
    Language English
    Publishing date 2020-07-16
    Publishing country England
    Document type Letter
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.15398
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  4. Article ; Online: A regional multicentric survey on variability and accuracy in lung ultrasound interpretation during the COVID-19 pandemic.

    Rojatti, Marco / Zanforlin, Alessandro / Ferretti, Enrica / Rauch, Simon

    Minerva anestesiologica

    2021  Volume 87, Issue 8, Page(s) 955–956

    MeSH term(s) COVID-19 ; Humans ; Lung/diagnostic imaging ; Pandemics ; SARS-CoV-2 ; Ultrasonography
    Language English
    Publishing date 2021-03-10
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 123584-9
    ISSN 1827-1596 ; 0026-4717 ; 0375-9393
    ISSN (online) 1827-1596
    ISSN 0026-4717 ; 0375-9393
    DOI 10.23736/S0375-9393.21.15646-9
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  6. Article ; Online: How Is COVID ‐19 Changing Lung Ultrasound? A Survey by the Thoracic Ultrasound Academy

    Zanforlin, Alessandro / Tursi, Francesco

    Journal of Ultrasound in Medicine ; ISSN 0278-4297 1550-9613

    2020  

    Keywords Radiological and Ultrasound Technology ; Radiology Nuclear Medicine and imaging ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    DOI 10.1002/jum.15398
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Response.

    Zanforlin, Alessandro / Perani, Cristiano / Marchetti, Giampietro

    Chest

    2018  Volume 154, Issue 2, Page(s) 455–456

    MeSH term(s) Pleura ; Ultrasonography
    Language English
    Publishing date 2018-08-21
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2018.04.002
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 349: Show issues

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  8. Article ; Online: Lung Ultrasound Signs: The Beginning. Part 3-An Accademia di Ecografia Toracica Comprehensive Review on Ultrasonographic Signs and Real Needs.

    Inchingolo, Riccardo / Zanforlin, Alessandro / Buonsenso, Danilo / Perrone, Tiziano / Torri, Elena / Limoli, Giuseppe / Mossolani, Elisa Eleonora / Tursi, Francesco / Soldati, Gino / Marchetti, Giampietro / Carlucci, Paolo / Radovanovic, Dejan / Lohmeyer, Franziska Michaela / Smargiassi, Andrea

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2024  Volume 43, Issue 4, Page(s) 629–641

    Abstract: Over the last 20 years, scientific literature and interest on chest/lung ultrasound (LUS) have exponentially increased. Interpreting mixed-anatomical and artifactual-pictures determined the need of a proposal of a new nomenclature of artifacts and signs ... ...

    Abstract Over the last 20 years, scientific literature and interest on chest/lung ultrasound (LUS) have exponentially increased. Interpreting mixed-anatomical and artifactual-pictures determined the need of a proposal of a new nomenclature of artifacts and signs to simplify learning, spread, and implementation of this technique. The aim of this review is to collect and analyze different signs and artifacts reported in the history of chest ultrasound regarding normal lung, pleural pathologies, and lung consolidations. By reviewing the possible physical and anatomical interpretation of these artifacts and signs reported in the literature, this work aims to present the AdET (Accademia di Ecografia Toracica) proposal of nomenclature and to bring order between published studies.
    MeSH term(s) Humans ; Lung/diagnostic imaging ; Lung Diseases/diagnostic imaging ; Thorax ; Ultrasonography/methods ; Artifacts
    Language English
    Publishing date 2024-01-03
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.16397
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1793: Show issues Location:
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  9. Article ; Online: Human-to-AI Interrater Agreement for Lung Ultrasound Scoring in COVID-19 Patients.

    Fatima, Noreen / Mento, Federico / Zanforlin, Alessandro / Smargiassi, Andrea / Torri, Elena / Perrone, Tiziano / Demi, Libertario

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2022  Volume 42, Issue 4, Page(s) 843–851

    Abstract: Objectives: Lung ultrasound (LUS) has sparked significant interest during COVID-19. LUS is based on the detection and analysis of imaging patterns. Vertical artifacts and consolidations are some of the recognized patterns in COVID-19. However, the ... ...

    Abstract Objectives: Lung ultrasound (LUS) has sparked significant interest during COVID-19. LUS is based on the detection and analysis of imaging patterns. Vertical artifacts and consolidations are some of the recognized patterns in COVID-19. However, the interrater reliability (IRR) of these findings has not been yet thoroughly investigated. The goal of this study is to assess IRR in LUS COVID-19 data and determine how many LUS videos and operators are required to obtain a reliable result.
    Methods: A total of 1035 LUS videos from 59 COVID-19 patients were included. Videos were randomly selected from a dataset of 1807 videos and scored by six human operators (HOs). The videos were also analyzed by artificial intelligence (AI) algorithms. Fleiss' kappa coefficient results are presented, evaluated at both the video and prognostic levels.
    Results: Findings show a stable agreement when evaluating a minimum of 500 videos. The statistical analysis illustrates that, at a video level, a Fleiss' kappa coefficient of 0.464 (95% confidence interval [CI] = 0.455-0.473) and 0.404 (95% CI = 0.396-0.412) is obtained for pairs of HOs and for AI versus HOs, respectively. At prognostic level, a Fleiss' kappa coefficient of 0.505 (95% CI = 0.448-0.562) and 0.506 (95% CI = 0.458-0.555) is obtained for pairs of HOs and for AI versus HOs, respectively.
    Conclusions: To examine IRR and obtain a reliable evaluation, a minimum of 500 videos are recommended. Moreover, the employed AI algorithms achieve results that are comparable with HOs. This research further provides a methodology that can be useful to benchmark future LUS studies.
    MeSH term(s) Humans ; COVID-19 ; Artificial Intelligence ; Reproducibility of Results ; Lung/diagnostic imaging ; Ultrasonography/methods
    Language English
    Publishing date 2022-07-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.16052
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    In stock of ZB MED Cologne/Königswinter

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  10. Article ; Online: Lung Ultrasound During the COVID-19 Pandemic: Building a Mobile Lung Ultrasound Unit.

    Zanforlin, Alessandro / Ferro, Federica / Pretto, Paolo / Fabbro, Loris / Vezzali, Norberto

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2020  Volume 40, Issue 1, Page(s) 209–210

    MeSH term(s) COVID-19/diagnostic imaging ; COVID-19/epidemiology ; Health Services Accessibility ; Humans ; Italy/epidemiology ; Mobile Health Units ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/virology ; Respiratory Distress Syndrome/diagnostic imaging ; Respiratory Distress Syndrome/virology ; SARS-CoV-2 ; Sensitivity and Specificity ; Tomography, X-Ray Computed ; Triage ; Ultrasonography/methods
    Keywords covid19
    Language English
    Publishing date 2020-07-04
    Publishing country England
    Document type Letter
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.15375
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    In stock of ZB MED Cologne/Königswinter

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