- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07728227
Diagnostic Accuracy and Operational Efficiency of Point-of-Care Ultrasound (POCUS) in Long Bone Fractures: A Brazilian Multicenter Study (POCUS-BONE BR)
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.
Study Overview
Status
Conditions
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
- **Initial Assessment:** Upon ED arrival and triage, patients with suspected long bone fractures will undergo standard clinical evaluation.
- **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.
- **Reference Standard Imaging:** Following the POCUS exam, all patients will undergo standard plain radiography of the affected extremity as dictated by standard clinical care.
- **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.
- **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.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Emanuel A Balanga, Medical Doctor
- Phone Number: +55 11 965011440
- Email: eabalanga@gmail.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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 informed consent (signed Informed Consent Form - ICF).
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.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Arm A
POCUS performed before radiography
|
|
Arm B
Radiography performed before POCUS
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Time Frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours.
|
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.
|
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Positive Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Time Frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
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.
|
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
|
Negative Predictive Value of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Time Frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
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.
|
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
|
Overall Diagnostic Accuracy of Point-of-Care Ultrasound (POCUS) for the Detection of Long Bone Fractures
Time Frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
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.
|
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
|
Interobserver Agreement Between Point-of-Care Ultrasound (POCUS) Operators
Time Frame: From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
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.
|
From emergency department arrival to completion of the reference standard radiography, assessed up to 24 hours
|
|
Time From Emergency Department Arrival to Point-of-Care Ultrasound (POCUS) Result
Time Frame: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
|
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.
|
From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
|
|
Time From Emergency Department Arrival to Radiography Report Availability
Time Frame: From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
|
Time elapsed between emergency department arrival and the moment the conventional radiography report is available to the treating team, reported in minutes.
|
From emergency department arrival to establishment of the fracture diagnosis, assessed up to 24 hours
|
|
Emergency Department Length of Stay
Time Frame: From emergency department arrival to emergency department discharge, assessed up to 72 hours
|
Total time elapsed between emergency department arrival and emergency department exit (hospital admission, transfer to another facility, or discharge home), reported in hours.
|
From emergency department arrival to emergency department discharge, assessed up to 72 hours
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 8.574.218
- Universal Trial Number (UTN) (Registry Identifier: U1111-1343-6273)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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