Upper cervical spine fracture patterns and blunt cerebrovascular injuries.

Purpose: To determine patterns of C1 and C2 vertebral fractures that are associated with blunt cerebrovascular injury (BCVI).

Methods: Retrospective chart review of clinical and imaging reports at a level 1 trauma center over 10 consecutive years was conducted in patients with C1 and C2 fractures. Student t-test and chi-squared analyses were used to determine associations between fracture levels and fracture types with the presence of BCVI on CTA and/or MRI or stroke on CT and/or MRI.

Head CT deep learning model is highly accurate for early infarct estimation.

Non-contrast head CT (NCCT) is extremely insensitive for early (< 3-6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NCCT/MRI training patient pairs). The model substantially outperformed 3 expert neuroradiologists on a test set of 150 CT scans of patients who were potential candidates for thrombectomy (60 stroke-negative, 90 stroke-positive middle cerebral artery territory only infarcts), with sensitivity 96% (specificity 72%) for the model versus 61-66% (specificity 90-92%) for the experts; model infarct volume estimates also strongly correlated with those of diffusion MRI (r > 0.

Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.

Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learning model that used the apparent diffusion coefficient and diffusion weighted imaging series.

Traumatic cervical spine fracture patterns on CT: a retrospective analysis at a level 1 trauma center.

Purpose: The purpose of our study was to determine common acute traumatic cervical spine fracture patterns on CT cervical spine (CTCS).

Methods: We retrospectively reviewed 1091 CTCS positive for traumatic fractures performed over a 10-year period at a level 1 trauma center. Fractures were classified by vertebral level, laterality, and anatomic location (anterior/posterior arch, body, odontoid, pedicle, facet, lateral mass, lamina, spinous process, transverse foramina, and transverse processes).