Computed Tomography Findings of Children Under 3 Years of Age with Mild Traumatic Brain Injury (TBI) and No Neurological Focal Signs

<b>Background/Objectives</b>: Mild traumatic brain injury (mTBI) is a leading cause of pediatric emergency department visits, particularly among children under three years old. Although computed tomography (CT) is the gold standard for diagnosing intracranial injuries, its use in young children poses radiation risks. Identifying reliable clinical indicators that justify CT imaging is essential for optimizing both patient safety and resource utilization. Objective: This study aimed to evaluate CT findings in children under three years of age with mTBI and no focal neurological deficits, as well as to identify clinical predictors associated with skull fractures and intracranial injuries. <b>Methods</b>: A retrospective analysis was conducted on 224 children under 36 months who presented with mTBI to a tertiary pediatric hospital from July 2019 to July 2024. Demographic data, injury mechanisms, clinical presentation and CT findings were evaluated. Univariate and multivariate regression analyses were performed to identify risk factors associated with skull fractures and intracranial injuries. <b>Results</b>: Falls accounted for 96.4% of injuries, with the majority occurring from heights of 0.5-1 m. The parietal region was the most frequently affected site (38%). Skull fractures were present in 46% of cases and were primarily linear (92.8%). Intracranial hematomas were identified in 13.8% of cases, while brain edema was observed in 7.6%. Significant predictors of skull fractures included age under 12 months (<i>p</i> < 0.001), falls from 0.5-1 m (<i>p</i> = 0.005), somnolence (<i>p</i> = 0.030), scalp swelling (<i>p</i> = 0.001) and indentation of the scalp (<i>p</i> = 0.016). Parietal bone involvement was the strongest predictor of both skull fractures (OR = 7.116, <i>p</i> < 0.001) and intracranial hematomas (OR = 4.993, <i>p</i> < 0.001). Conversely, frontal bone involvement was associated with a lower likelihood of fractures and hematomas. <b>Conclusions:</b> The findings highlight key clinical indicators that can guide decision-making for CT imaging in children with mTBI. Infants under 12 months, falls from moderate heights and parietal bone involvement significantly increase the risk of fractures and intracranial injuries. A more refined diagnostic approach could help reduce unnecessary CT scans while ensuring the timely identification of clinically significant injuries.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2025-04-16
DOI
https://doi.org/10.3390/jcm14082728
Citations
2
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
2.78
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article

Computed Tomography Findings of Children Under 3 Years of Age with Mild Traumatic Brain Injury (TBI) and No Neurological Focal Signs

Dejan Bokonjić, Goran Djuričić, Kristina Davidović, Boris Gluščević et al.
2 citations
Journal of Clinical Medicine
Traumatic Brain Injury and Neurovascular Disturbances
2.78
article

Computed Tomography Findings of Children Under 3 Years of Age with Mild Traumatic Brain Injury (TBI) and No Neurological Focal Signs

Dejan Bokonjić, Goran Djuričić, Kristina Davidović, Boris Gluščević, Dragan Vasin, Vuk Djulejić, Slaviša Zagorac, Djordje Milojkovic, Nataša Milić, Ksenija Marković, Dusan Banovac, Jelena Sisevic
article en
2 citations

Abstract

<b>Background/Objectives</b>: Mild traumatic brain injury (mTBI) is a leading cause of pediatric emergency department visits, particularly among children under three years old. Although computed tomography (CT) is the gold standard for diagnosing intracranial injuries, its use in young children poses radiation risks. Identifying reliable clinical indicators that justify CT imaging is essential for optimizing both patient safety and resource utilization. Objective: This study aimed to evaluate CT findings in children under three years of age with mTBI and no focal neurological deficits, as well as to identify clinical predictors associated with skull fractures and intracranial injuries. <b>Methods</b>: A retrospective analysis was conducted on 224 children under 36 months who presented with mTBI to a tertiary pediatric hospital from July 2019 to July 2024. Demographic data, injury mechanisms, clinical presentation and CT findings were evaluated. Univariate and multivariate regression analyses were performed to identify risk factors associated with skull fractures and intracranial injuries. <b>Results</b>: Falls accounted for 96.4% of injuries, with the majority occurring from heights of 0.5-1 m. The parietal region was the most frequently affected site (38%). Skull fractures were present in 46% of cases and were primarily linear (92.8%). Intracranial hematomas were identified in 13.8% of cases, while brain edema was observed in 7.6%. Significant predictors of skull fractures included age under 12 months (<i>p</i> < 0.001), falls from 0.5-1 m (<i>p</i> = 0.005), somnolence (<i>p</i> = 0.030), scalp swelling (<i>p</i> = 0.001) and indentation of the scalp (<i>p</i> = 0.016). Parietal bone involvement was the strongest predictor of both skull fractures (OR = 7.116, <i>p</i> < 0.001) and intracranial hematomas (OR = 4.993, <i>p</i> < 0.001). Conversely, frontal bone involvement was associated with a lower likelihood of fractures and hematomas. <b>Conclusions:</b> The findings highlight key clinical indicators that can guide decision-making for CT imaging in children with mTBI. Infants under 12 months, falls from moderate heights and parietal bone involvement significantly increase the risk of fractures and intracranial injuries. A more refined diagnostic approach could help reduce unnecessary CT scans while ensuring the timely identification of clinically significant injuries.

Journal of Clinical MedicineVol. 14(8)
University of East Sarajevo (BA), University of Belgrade (RS), Institute of Orthopedics Banjica (RS), University Children's Hospital, Belgrade (RS)
Openalex Percentile: Top 11%
Traumatic Brain Injury and Neurovascular Disturbances
2.78
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