Understanding Bilateral Skull Fractures in Infancy: A Retrospective Multicenter Case Review

[Red flags for child abuse : Pediatric radiological and forensic aspects]

CLINICAL ISSUE

The diagnostics of physical child abuse are usually performed by a multidisciplinary team and frequently represent a clinical challenge. Radiological expertise is particularly important for the recognition of abusive injuries to the skeletal system and the central nervous system. The aim of the article is to give an overview of red flags of child abuse in radiological imaging.

IMAGING METHODS

For the diagnostics of child abuse, conventional projection radiography of the skeletal system as well as computed tomography (CT) and magnetic resonance imaging (MRI) of the head are especially relevant. There is insufficient evidence with respect to sonography.

CONCLUSION

Radiological imaging plays a key role for recognizing physical child abuse. Radiological red flags of child abuse can be crucial for making the diagnosis.

Neuroimaging considerations in abusive head trauma

This focused review on abusive head trauma describes the injuries to the head, brain and/or spine of an infant or young child from inflicted trauma and their neuroimaging correlates. Accurate recognition and diagnosis of abusive head trauma is paramount to prevent repeated injury, provide timely treatment, and ensure that accidental or underlying medical contributors have been considered. In this article, we aim to discuss the various findings on neuroimaging that have been associated with AHT, compared to those that are more consistent with accidental injuries or with underlying medical causes that may also be on the differential.

Age-related skull fracture patterns in infants after low-height falls

BACKGROUND

Prior research and experience has increased physician understanding of infant skull fracture prediction. However, patterns related to fracture length, nonlinearity, and features of complexity remain poorly understood, and differences across infant age groups have not been previously explored.

METHODS

To determine how infant and low-height fall characteristics influence fracture patterns, we collected data from 231 head CT 3D reconstructions and quantified length and nonlinearity using a custom image processing code. Regression analysis was used to determine the effects of age and fall characteristics on nonlinearity, length, and features of fracture complexity.

RESULTS

While impact surface had an important role in the number of cracks present in a fracture, younger infants and greater fall heights significantly affected most features of fracture complexity, including suture-to-suture spanning and biparietal involvement. In addition, increasing fracture length with increasing fall height supports trends identified by prior finite-element modeling. Finally, this study yielded results supporting the presence of soft tissue swelling as a function of fracture location rather than impact site.

CONCLUSIONS

Age-related properties of the infant skull confer unique fracture patterns following head impact. Further characterization of these properties, particularly in infants <4 months of age, will improve our understanding of the infant skull's response to trauma.

IMPACT

Younger infant age and greater fall heights have significant effects on many features of fracture complexity resulting from low-height falls. Incorporating multiple crack formation and multiple bone involvement into computational models of young infant skull fractures may result in increased biofidelity. Drivers of skull fracture complexity are not well understood, and skull fracture patterns in real-world data across infant age groups have not been previously described. Understanding fracture complexity relative to age in accidental falls will improve the understanding of accidental and abusive head trauma.