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. Author manuscript; available in PMC: 2022 Oct 10.
Published in final edited form as: J Neurosurg Pediatr. 2018 Nov 2;23(2):219–226. doi: 10.3171/2018.8.PEDS18370

Table 2: Head Computed Tomography (CT) Findings of Pediatric Traumatic Brain Injury (TBI) Patients studied using an Artificial Neural Network.

Image Findings Non-Clinically Important TBI (n=12,422) Clinically Important TBI (n=480) All patients (n=12,902)

Cerebellar hemorrhage
No 12418 469 12887
Yes 4 11 15

Cerebral contusion
No 12365 365 12730
Yes 57 115 172

Cerebral edema
No 12415 412 12827
Yes 7 68 75

Cerebral hemorrhage or Intracerebral hematoma
No 12384 381 12765
Yes 38 99 137

Diastasis of the skull
No 12403 445 12848
Yes 19 34 54

Epidural hematoma
No 12402 394 12796
Yes 20 86 106

Extra axial hematoma
No 12358 411 12769
Yes 64 69 133

Intraventricular hemorrhage
No 12415 456 12871
Yes 7 24 31

Midline shift of brain structures
No 12416 401 12817
Yes 6 79 85

Pneumocephalus
No 12361 363 12724
Yes 61 117 178

Skull fracture
No 11828 184 12012
Yes 594 296 890

Subarachnoid hemorrhage
No 12356 369 12725
Yes 66 111 177

Subdural hematoma
No 12348 337 12685
Yes 74 143 217

Traumatic infarction
No 12422 476 12898
Yes 0 4 4

Diffuse axonal injury
No 12422 475 12897
Yes 0 5 5

Herniation
No 12422 475 12897
Yes 0 5 5

Shear Injury
No 12419 466 12885
Yes 3 14 17
*

Univariate statistical significance examined using the t-test or Chi-squared analysis.