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Not yet recruitingNCT07728227POCUS-BONE BRUpdated Jul 27, 2026

Diagnostic Accuracy and Operational Efficiency of Point-of-Care Ultrasound (POCUS) in Long Bone Fractures: A Brazilian Multicenter Study

An observational study in Bone Fractures and Long Bone Fracture, sponsored by University of Sao Paulo. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-27.

Sponsored by University of Sao Paulo · Observational

Study type
Observational
Model
Other
Time perspective
Prospective
Enrollment
260
Ages
18 Years and older
Sex
All
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Study summary

The purpose of this study is to evaluate the diagnostic accuracy and operational efficiency of Point-of-Care Ultrasound (POCUS) for identifying long bone fractures in the emergency department.

Traditionally, suspected long bone fractures are diagnosed using X-rays. While effective, X-rays require transporting patients to a radiology suite, involve exposure to ionizing radiation, and can contribute to longer emergency room wait times. POCUS is a portable, radiation-free imaging tool that physicians perform directly at the patient's bedside. The investigators hypothesize that POCUS can accurately identify or rule out long bone fractures when compared to standard X-rays, and that its use will reduce the time required to make clinical decisions.

This is a multicenter, prospective observational study. Participants arriving at the emergency department with a suspected long bone fracture will undergo a bedside ultrasound examination performed by a trained emergency physician. Following the ultrasound, all participants will receive standard-of-care X-ray imaging.

Researchers will compare the initial POCUS findings to the final X-ray results (the reference standard) to determine the sensitivity and specificity of the ultrasound. Additionally, the study will measure operational timelines-including time to diagnosis, time to treatment decision, and total length of stay in the emergency department-to assess the impact of POCUS on hospital workflow and patient care efficiency.

Read the detailed description

## Background and Rationale

Long bone fractures are among the most frequent traumatic injuries managed in emergency departments (EDs) worldwide. The current standard of care for diagnosing these fractures is plain radiography (X-ray). While highly effective and widely available, the standard radiological workflow presents several challenges in crowded ED environments. It requires patient transport to a radiology suite-which can exacerbate pain in trauma patients-involves exposure to ionizing radiation, and often contributes to significant delays in clinical decision-making and overall length of stay (LOS).

Point-of-Care Ultrasound (POCUS) has emerged as a rapid, portable, and radiation-free imaging modality that can be performed directly at the patient's bedside. Previous single-center studies have suggested that POCUS has high sensitivity and specificity for detecting fractures. However, there is a lack of robust, multicenter data evaluating its real-world implementation in diverse Brazilian emergency settings. The POCUS-BONE BR study aims to fill this gap by assessing both the diagnostic accuracy and the operational impact of integrating musculoskeletal POCUS into the standard trauma workflow.

## Study Objectives

**Primary Objective:** To determine the diagnostic accuracy (sensitivity, specificity, positive predictive value, and negative predictive value) of bedside POCUS performed by emergency physicians for the detection of long bone fractures, using standard plain radiography as the reference standard.

**Secondary Objectives:**

  • To evaluate operational efficiency by comparing time-to-diagnosis and time-to-disposition between the POCUS evaluation and standard radiological workflows.
  • To assess patient pain levels during the POCUS examination compared to standard X-ray positioning, using the Visual Analog Scale (VAS).
  • To determine the inter-observer agreement between the emergency physician's POCUS interpretation and the formal radiologist's X-ray report.

    • Study Design and Methodology

POCUS-BONE BR is a prospective, multicenter, observational diagnostic accuracy study. It will be conducted across [Insert Number] participating emergency departments in Brazil.

Eligible patients presenting to the ED with clinical signs of a suspected long bone fracture (involving the femur, tibia, fibula, humerus, radius, or ulna) will be enrolled consecutively. Written informed consent will be obtained from all participants or their legal representatives prior to enrollment.

  • Study Procedures

    1. **Initial Assessment:** Upon ED arrival and triage, patients with suspected long bone fractures will undergo standard clinical evaluation.
    2. **POCUS Examination:** An emergency physician trained in musculoskeletal ultrasound will perform a targeted bedside POCUS examination of the affected limb. The physician will document the presence or absence of a fracture, the fracture type (e.g., cortical disruption), and the time of examination completion.
    3. **Reference Standard Imaging:** Following the POCUS exam, all patients will undergo standard plain radiography of the affected extremity as dictated by standard clinical care.
    4. **Blinding:** The emergency physician performing the POCUS will be blinded to the subsequent X-ray results. The radiologist or attending orthopedist interpreting the definitive X-ray will be blinded to the POCUS findings.
    5. **Clinical Management:** Patient care, analgesia, and orthopedic consultation will proceed according to institutional protocols and will not be delayed by study procedures.
  • Data Collection and Metrics

Trained researchers will collect clinical and operational data using a standardized electronic case report form (eCRF) via [e.g., REDCap]. Key time-stamps recorded will include:

  • Time of ED triage.
  • Time of POCUS completion.
  • Time of X-ray completion.
  • Time to definitive medical decision/orthopedic consultation.
  • Total ED Length of Stay (LOS).

    • Statistical Analysis Plan

Diagnostic accuracy metrics (sensitivity, specificity, positive predictive value, and negative predictive value) will be calculated with 95% confidence intervals using standard 2x2 contingency tables. The agreement between POCUS and X-ray findings will be evaluated using Cohen's kappa coefficient.

Continuous variables (such as time-to-diagnosis and LOS) will be assessed for normality. Parametric data will be analyzed using Student's t-test, and non-parametric data using the Mann-Whitney U test. A p-value of \<0.05 will be considered statistically significant. The planned sample size of [Insert Target Sample Size] patients was calculated to achieve a [Insert Power, e.g., 90%] power to detect a sensitivity of at least [Insert Percentage, e.g., 90%] with a predefined margin of error.

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Conditions studied

  • Bone Fractures
  • Long Bone Fracture

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Keywords

  • POCUS
  • Ultrassound
  • Fractures
  • Bones
  • POCUS BONES BR
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In context

Fractures, Bone

723 studies on the registry are indexed under Fractures, Bone; 114 are open to participants now.

This study's planned enrollment of 260 is above the median of 130 across 239 observational studies indexed under Fractures, Bone.

Browse Fractures, Bone studies →

Lead sponsor

University of Sao Paulo is the lead sponsor of 1,035 studies on the registry; 95 are open to participants now.

Of its 8 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The study population consists of adult patients (18 years of age or older) presenting to the emergency departments of two major Brazilian academic hospitals: Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP) and Hospital das Clínicas da Faculdade de Medicina de Marília (HCFAMEMA). Eligible participants are those seeking care for acute extremity trauma with clinical suspicion of a long bone fracture, characterized by signs such as localized pain, visible deformity, swelling, or functional limitation. Patients presenting with open fractures, hemodynamic instability requiring immediate resuscitation, known previous fractures in the same anatomical segment, or those requiring immediate surgical intervention are excluded from this study population.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients aged 18 years or older;
  • Presenting with clinical suspicion of a long bone fracture (pain, deformity, swelling, or functional limitation);
  • Provision of (signed Informed Consent Form - ICF).

Exclusion criteria

Exclusion Criteria:

  • Patients with open fractures;
  • Hemodynamic instability (resuscitation priority);
  • Known previous fractures in the same bone segment;
  • Need for immediate surgical intervention;
  • Refusal to participate.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

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Study design

Observational model
Other
Time perspective
Prospective
Enrollment
260 participants (estimated)
Patient registry
No

Groups and cohorts

  • Arm A

    POCUS performed before radiography

  • Arm B

    Radiography performed before POCUS

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What researchers measure

Primary outcomes

  1. Sensitivity of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures

    Sensitivity is the percentage of participants with a long bone fracture confirmed by the reference standard (conventional radiography independently interpreted by a blinded radiologist) who were correctly classified as having a fracture by point-of-care ultrasound (POCUS) performed by a trained emergency physician. Sensitivity is calculated as the number of true positive POCUS examinations divided by the total number of participants with a fracture on the reference standard, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.

    Time frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours.

Secondary outcomes

  1. Positive Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures

    Positive predictive value is the percentage of participants with a positive point-of-care ultrasound (POCUS) examination who have a long bone fracture confirmed by the reference standard (conventional radiography independently interpreted by a blinded radiologist). It is calculated as the number of true positive POCUS examinations divided by the total number of positive POCUS examinations, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.

    Time frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours

  2. Negative Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures

    Negative predictive value is the percentage of participants with a negative point-of-care ultrasound (POCUS) examination who have no long bone fracture on the reference standard (conventional radiography independently interpreted by a blinded radiologist). It is calculated as the number of true negative POCUS examinations divided by the total number of negative POCUS examinations, multiplied by 100. Reported as a percentage with a 95 percent confidence interval.

    Time frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours

  3. Overall Diagnostic Accuracy of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures

    Overall diagnostic accuracy is the percentage of participants correctly classified by point-of-care ultrasound (POCUS), calculated as the sum of true positive and true negative POCUS examinations divided by the total number of participants assessed, multiplied by 100. The reference standard is conventional radiography independently interpreted by a blinded radiologist. Reported as a percentage with a 95 percent confidence interval.

    Time frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours

  4. Interobserver Agreement Between Point-of-Care Ultrasound (POCUS) Operators

    Agreement between two independent point-of-care ultrasound (POCUS) operators regarding the presence or absence of a long bone fracture, measured by the Cohen kappa coefficient. Kappa values range from -1 to 1, where 1 indicates perfect agreement, 0 indicates agreement equivalent to chance, and negative values indicate agreement worse than chance. Reported as a kappa coefficient with a 95 percent confidence interval.

    Time frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours

  5. Time From Emergency Department Arrival to Point-of-Care Ultrasound (POCUS) Result

    Time elapsed between emergency department arrival and the moment the point-of-care ultrasound (POCUS) examination result is available to the treating team, reported in minutes.

    Time frame: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours

  6. Time From Emergency Department Arrival to Radiography Report Availability

    Time elapsed between emergency department arrival and the moment the conventional radiography report is available to the treating team, reported in minutes.

    Time frame: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours

  7. Emergency Department Length of Stay

    Total time elapsed between emergency department arrival and emergency department exit (hospital admission, transfer to another facility, or discharge home), reported in hours.

    Time frame: From emergency department arrival to emergency department discharge, assessed up to 72 hours

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Ribeiro MCF, Ribeiro MEF, Da Silva Dos Santos G, De Santos Lima AK, Leonel BMC, De Castro Trindade MMM, et al. Perfil epidemiológico das internações por fratura de fêmur no Brasil entre 2019 a 2023. Brazilian Journal of Implantology and Health Sciences [Internet]. 2024 Jun 17;6(6):1154¿64. Available from: https://bjihs.emnuvens.com.br/bjihs/article/view/2331
  • GBD 2019 Fracture Collaborators. Global, regional, and national burden of bone fractures in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Healthy Longev. 2021 Sep;2(9):e580-e592. doi: 10.1016/S2666-7568(21)00172-0. PubMed 34723233 ↗
  • Delniotis I, Bontinis V, Ktenidis K, Drakonaki EE, Galanis N. Diagnostic accuracy of ultrasound versus X-ray for distal forearm fractures in children and adolescents: a systematic review and meta-analysis. Eur J Trauma Emerg Surg. 2024 Dec;50(6):2649-2662. doi: 10.1007/s00068-024-02451-9. Epub 2024 Feb 1. PubMed 38300283 ↗
  • Matschiner E, Serban O, Fodor D, Blaivas M, Horn R, Koch J, Jakobi ML, Grevelding L, Osterwalder J, Srivastava D, Dietrich CF. Ultrasound in bone fracture diagnosis - a comparative meta-analysis and systematic review. Med Ultrason. 2025 Mar 2;27(1):52-62. doi: 10.11152/mu-4407. Epub 2024 Jun 28. PubMed 39078997 ↗
  • Douma-den Hamer D, Blanker MH, Edens MA, Buijteweg LN, Boomsma MF, van Helden SH, Mauritz GJ. Ultrasound for Distal Forearm Fracture: A Systematic Review and Diagnostic Meta-Analysis. PLoS One. 2016 May 19;11(5):e0155659. doi: 10.1371/journal.pone.0155659. eCollection 2016. PubMed 27196439 ↗
  • Osterwalder J, Hoffmann B, Blaivas M, Horn R, Matchiner E, Dietrich CF. A Plea for a Paradigm Shift from X-Ray to Ultrasound in Adults: An Update for Emergency Physicians, General Practitioners, Orthopedists and Sports Medicine Physicians. Diagnostics (Basel). 2025 Jul 21;15(14):1827. doi: 10.3390/diagnostics15141827. PubMed 40722577 ↗
  • Smith KM, Zimmerman E, Trotter Z, Wai S. Diagnostic Accuracy of Point-of-Care Ultrasound for Acute Pediatric Ankle Injuries. Pediatr Emerg Care. 2025 Oct 1;41(10):e140-e145. doi: 10.1097/PEC.0000000000003439. Epub 2025 Jul 9. PubMed 40629668 ↗
  • Delniotis I, Bontinis V, Delniotis A, Bontinis A, Drakonaki EE, Ktenidis K, Galanis N. Point-of-Care Ultrasound Versus X-ray for Pediatric Upper Extremity Injuries: A Safe and Radiation-Free Alternative? Pediatr Emerg Care. 2025 Oct 1;41(10):e156-e162. doi: 10.1097/PEC.0000000000003446. Epub 2025 Jul 11. PubMed 40643022 ↗
  • Endara-Mina J, Kumar H, Ghosh B, Mehta A, Chandra Dey R, Singh P, Rai N, Mandadi M, Opara O, Quinonez J. Comparative use of ultrasound and radiography for the detection of fractures: a systematic review and narrative synthesis. Ann Med Surg (Lond). 2023 Sep 5;85(10):5085-5095. doi: 10.1097/MS9.0000000000001229. eCollection 2023 Oct. PubMed 37811018 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No — Individual participant data (IPD) will not be shared to maintain absolute patient confidentiality, as mandated by the study's Informed Consent Form. All participant data and imaging findings will be de-identified and tracked solely by alphanumeric codes. Furthermore, the dataset will remain restricted to the primary research team and stored securely using the institutional REDCap platform and encrypted local backup drives

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 27, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07728227
Responsible party
Emanuel Ayrton Balanga (Emergency Medicine Resident, University of Sao Paulo) — Principal investigator
First posted
Jul 27, 2026
Start date
Oct 19, 2026 (estimated)
Primary completion
Sep 20, 2027 (estimated)
Completion
Nov 20, 2027 (estimated)
Last update
Jul 27, 2026

Study contacts

Emanuel A Balanga, Medical Doctor
Contact
eabalanga@gmail.com
+55 11 965011440

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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