Evidence map›Paper›PMID 40092154›Full record

ArticleAustralasian journal of ultrasound in medicine2025

Ultrasound as a Diagnostic Tool in Detection of Maxillofacial Fractures at Level 1 Trauma Centre ED in India.

Afroz Fatima, Priyanka Modi, Tej Prakash Sinha, Sanjeev Bhoi, Atin Kumar, Sushma Sagar

Abstract read
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Article in Australasian journal of ultrasound in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Afroz FatimaDepartment of Emergency Medicine King's College Hospital NHS Foundation Trust London UK.
Priyanka ModiDepartment of Emergency Medicine SGT Medical College Hospital and Research Institute Gurugram India.ORCID https://orcid.org/0000-0002-6794-1783
Tej Prakash SinhaDepartment of Emergency Medicine All India Institute of Medical Sciences New Delhi Delhi India.
Sanjeev BhoiDepartment of Emergency Medicine All India Institute of Medical Sciences New Delhi Delhi India.
Atin KumarDepartment of Trauma Radiology All India Institute of Medical Sciences New Delhi Delhi India.
Sushma SagarDepartment of Trauma Surgery All India Institute of Medical Sciences New Delhi Delhi India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Injuries, especially maxillofacial fractures, pose a significant global health burden exacerbated by increasing traffic activities. Early detection is vital for preventing complications. This study assesses ultrasound's diagnostic efficacy, aiming to improve patient management and minimise treatment delays by detecting maxillofacial fractures promptly and accurately. Objective: The main aim was to assess point-of-care ultrasound (POCUS) in diagnosing maxillofacial fractures against computed tomography (CT) scans. Secondary goals included identifying ocular injuries, mandibular fractures, assessing probe feasibility and comparing Le Fort classification via ultrasound and CT. Methodology: Between January 2019 and February 2021, 150 trauma patients (136 male) with a mean age of 28.5 ± 5 years (range, 18-62 years) suspected of maxillofacial fractures were enrolled. A trained physician performed facial ultrasound, and findings were documented alongside CT scan results. Using the SPSS software, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of POCUS against CT scans were analysed. Results: Among 150 patients, CT scans diagnosed 137 with maxillofacial fractures, primarily due to road traffic accidents. Zygomatic fractures were most common, followed by nasal bone and mandibular parasymphysial fractures. POCUS exhibited high sensitivity (98.9%), specificity (99.1%), PPV (92%), and NPV (99.8%) for overall facial fractures, varying by bone. Associated occult ocular injuries occurred in two patients. Sensitivity and specificity were high for mandibular fractures. 5-10 MHz frequency linear probe, footprint-50 mm was optimal for midfacial bones, but Le Fort fractures could not be reliably identified using ultrasound. Conclusion: The study underscores the value of POCUS in the Emergency Department for detecting maxillofacial fractures, despite limitations such as anatomical challenges. POCUS showed high diagnostic accuracy, emphasising its potential in clinical practice, requiring further validation and exploration.

Indexed as

computed tomographyemergency departmentLe Forts fracturemaxillofacial fracturespoint‐of‐care ultrasound (POCUS)

Identifiers

PMID40092154
PMCPMC11907236

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