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NCT Number: NCT07728227

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

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

About this study

## 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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. 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.

Secondary outcomes

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Emanuel A Balanga, Medical Doctor

CONTACT

[email protected]

+55 11 965011440

Sponsors and collaborators

Lead sponsor

University of Sao Paulo

Other

Registry information

Acronym: POCUS-BONE BR

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Jul 27, 2026
Registry last updated
Jul 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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