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Record W4407841644 · doi:10.1186/s44156-024-00068-7

Multi-societal expert consensus statement on the safe administration of ultrasound contrast agents

2025· review· en· W4407841644 on OpenAlexaffabout
Jordan B. Strom, Andrew Appis, R. Graham Barr, Maria Cristina Chammas, Dirk‐André Clevert, Kassa Darge, Linda Feinstein, Steven B. Feinstein, J. Brian Fowlkes, Beverly Gorman, Pintong Huang, Yuko Kono, Juan Lopez‐Mattei, Andrej Lyshchik, Michael L. Main, W. Matthias, Christina Merrill, Sharon L. Mulvagh, Petros Nihoyannopoulos, Joan Olson, Fabio Piscaglia, Thomas R. Porter, Arnaldo Rabischoffsky, Roxy Senior, Jessica L. Stout, Maria Stanczak, Stephanie R. Wilson

Bibliographic record

VenueEcho Research and Practice · 2025
Typereview
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsDalhousie UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineDiagnostic ultrasoundContrast-enhanced ultrasoundPosition statementProfessional associationDocumentationScope (computer science)Appropriate Use CriteriaCertificationScope of practiceRadiologyMedical physicsUltrasoundMedical educationHealth careFamily medicinePublic relationsPolitical science

Abstract

fetched live from OpenAlex

Contrast enhanced ultrasound (CEUS) offers a safe, reliable imaging option to establish a clinical diagnosis across a variety of multidisciplinary settings. This Expert Consensus Statement serves to outline expert opinion on what constitutes appropriate supervision and the essential components of safe CEUS practice. The purpose of this document is to empower institutions to allow sonographers, along with other trained medical professionals, to administer UCAs at the point of care, consistent with the updated scope of practice documentation and within the broad parameters of an individual's training and licensure, while subject to appropriate supervision and meeting or exceeding minimum safety standards. This guidance was developed by the International Contrast Ultrasound Society and endorsed by the following organizations that represent ultrasound professionals: the British Society of Echocardiography, the Canadian Society of Echocardiography, the Society of Diagnostic Medical Sonography, the Society for Pediatric Radiology, the World Federation of Ultrasound in Medicine and Biology, the Brazilian College of Radiology, the Joint Review Committee for Diagnostic Medical Sonography, the Chinese Ultrasound Doctors Association, and the American Society of Neuroimaging. Additionally, this guidance document was affirmed or supported by the American Society of Echocardiography, the Association for Medical Ultrasound, and the Society for Vascular Ultrasound.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.669
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.431
GPT teacher head0.594
Teacher spread0.164 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2025
Admission routes2
Has abstractyes

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