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Record W4403074557 · doi:10.1186/s13089-024-00392-3

Comparison of 6 handheld ultrasound devices by point-of-care ultrasound experts: a cross-sectional study

2024· article· en· W4403074557 on OpenAlexfundno aff
Ariadna Perez‐Sanchez, Gordon E. Johnson, Neysan Pucks, Riya Soni, Terry J. S. Lund, Alison Andrade, Minh-Phuong T Le, Jessica Solis‐McCarthy, Tanping Wong, Arsal Ashraf, Andre Kumar, Gisela I. Banauch, James R Verner, Amik Sodhi, Meghan K. Thomas, Charles M. LoPresti, Hannah Schmitz, Abhilash Koratala, John Hunninghake, Erik Manninen, Carolina Candotti, Taro Minami, Benji K. Mathews, Ghassan Bandak, Harald Sauthoff, HENRY MAYO-MALASKY, Joel Cho, Nick Villalobos, Kevin C. Proud, Brandon Boesch, Federico Fenton Portillo, Kreegan Reierson, Manpreet Malik, Firas Abbas, Timothy P. Johnson, Elizabeth K. Haro, Michael Mader, Paul H. Mayo, Ricardo Franco‐Sadud, Nilam J. Soni

Bibliographic record

VenueThe Ultrasound Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
FundersNYU Grossman School of MedicineQuality Enhancement Research InitiativeYork UniversityVirginia Commonwealth UniversitySchool of Medicine, Emory UniversityUniversity of MinnesotaUniversity of South CarolinaVA National Center for Patient SafetyKaiser PermanenteEmory UniversityCase Western Reserve UniversityUniversity of Central FloridaWashington State UniversitySchool of Medicine, Case Western Reserve UniversityBrown UniversityNew York City Department of Health and Mental HygieneU.S. Department of Veterans Affairs
KeywordsMedicineUltrasoundCross-sectional studyMedical physicsRadiologyPathology

Abstract

fetched live from OpenAlex

Abstract Background Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for clinicians, but lack of access to ultrasound equipment has been a top barrier to POCUS use. Recently, several handheld ultrasound devices (“handhelds”) have become available, and clinicians are seeking data to guide purchasing decisions. Few comparative studies of different handhelds have been done. We conducted a cross-sectional study comparing 6 handhelds readily available in the United States (Butterfly iQ + ™ by Butterfly Network Inc.; Clarius ™ by Clarius Mobile Health; Kosmos ™ by EchoNous; TE Air ™ by Mindray; Vscan Air ™ SL and CL by General Electric; and Lumify ™ by Philips Healthcare). A multi-specialty group of physician POCUS experts (n = 35) acquired three standard ultrasound views (abdominal right upper quadrant, cardiac apical 4-chamber, and superficial neck and lung views) in random order on the same standardized patients and rated the image quality. Afterward, a final survey of the overall ease of use, image quality, and satisfaction of each handheld was completed. Results Thirty-five POCUS experts specializing in internal medicine/hospital medicine, critical care, emergency medicine, and nephrology acquired and rated right upper quadrant, apical 4-chamber, and superficial neck and lung views with 6 different handhelds. For image quality, the highest-rated handhelds were Vscan Air ™ for the right upper quadrant view, Mindray TE Air ™ for the cardiac apical 4-chamber view, and Lumify ™ for superficial views of the neck and lung. Overall satisfaction with image quality was highest with Vscan Air ™ , Lumify ™ , and Mindray, while overall satisfaction with ease of use was highest with Vscan Air ™ . The 5 most desirable characteristics of handhelds were image quality, ease of use, portability, probe size, and battery life. Ultimately, all 6 handhelds had notable advantages and disadvantages, with no single device having all desired qualities or features. Conclusions The overall satisfaction with image quality was rated highest with Vscan Air ™ , Lumify ™ , and Mindray TE Air ™ when acquiring right upper quadrant, apical 4-chamber, and superficial neck and lung views. No single handheld was perceived to be superior in image quality for all views. Vscan Air ™ was rated highest for overall ease of use and was the most preferred handheld for purchase by POCUS experts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.420
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2024
Admission routes1
Has abstractyes

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