ReviewDiagnostics (Basel, Switzerland)2022
Common and Uncommon Errors in Emergency Ultrasound.
Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Supporting obstetric sonographers following diagnostic error: Evidence-informed interventions to promote well-being, learning and patient safety.Ultrasound (Leeds, England) · 2026Article
- Obstetric sonographers' second victim experiences following diagnostic error: implications for wellbeing, support and patient safety.Ultrasound (Leeds, England) · 2026Article
- PoCUS-first versus CT-only for non-traumatic abdominal pain: a propensity score-weighted cohort study on ED resource utilization.Internal and emergency medicine · 2026Article
- XACT-guided interventional procedures: A feasibility study.Medical physics · 2026Article
- B-mode artefacts relevant in rheumatological musculoskeletal ultrasound-impact on image interpretation and their diagnostic value.Skeletal radiology · 2025Review
- ChatGPT-4-Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study.JMIR AI · 2025Article
- Point-of-Care Ultrasound Within One Hour Associated with ED Flow and Resource Use in Non-Traumatic Abdominal Pain: A Retrospective Observational Study.Diagnostics (Basel, Switzerland) · 2025Article
- Multiparametric ultrasound in acute scrotum: a comprehensive review with special emphasis on contrast-enhanced ultrasound.Journal of ultrasound · 2025Review
- AI-powered diagnosis of ovarian conditions: insights from a newly introduced ultrasound dataset.Frontiers in physiology · 2025Article
- Point-of-Care Ultrasound in the Emergency Department: Training, Perceptions, Applications, and Barriers from Different Healthcare Professionals.Journal of acute medicine · 2024Article
- ChatGPT-4: a breakthrough in ultrasound image analysis.Radiology advances · 2024Article
- Abdominal compartment syndrome: what radiologist needs to know.La Radiologia medica · 2023Review
- Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches.Biomimetics (Basel, Switzerland) · 2023Review
- Accuracy of computed tomography in staging acute appendicitis and its impact on surgical outcome and strategy: a multi-center retrospective case-control study.La Radiologia medica · 2023Article
- Point-of-Care Ultrasonography as an Extension of the Physical Examination for Abdominal Pain in the Emergency Department: The Diagnosis of Small-Bowel Volvulus as a Rare Complication after Changing the Feeding Jejunostomy Tube.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Errors in emergency ultrasound (US) have been representing an increasing problem in recent years thanks to several unique features related to both the inherent characteristics of the discipline and to the latest developments, which every medical operator should be aware of. Because of the subjective nature of the interpretation of emergency US findings, it is more prone to errors than other diagnostic imaging modalities. The misinterpretation of US images should therefore be considered as a serious risk in diagnosis. The etiology of error is multi-factorial: it depends on environmental factors, patients and the technical skills of the operator; it is influenced by intrinsic US artifacts, poor clinical correlation, US-setting errors and anatomical variants; and it is conditioned by the lack of a methodologically correct clinical approach and excessive diagnostic confidence too. In this review, we evaluate the common and uncommon sources of diagnostic errors in emergency US during clinical practice, showing how to recognize and avoid them.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.