MRI in traumatic spinal cord injury: from clinical assessment to neuroimaging biomarkers

P Freund, M Seif, N Weiskopf, K Friston… - The Lancet …, 2019 - thelancet.com
Traumatic spinal cord injury occurs when an external physical impact damages the spinal
cord and leads to permanent neurological dysfunction and disability, and it is associated …

Predicting outcomes after spinal cord injury

W Chay, S Kirshblum - Physical Medicine and Rehabilitation …, 2020 - pmr.theclinics.com
Jane Doe is a 66-year-old woman who was involved in a motor vehicle crash where she
sustained a T6 burst fracture. She underwent T5-7 laminectomy and posterior spinal fusion …

Predicting injury severity and neurological recovery after acute cervical spinal cord injury: a comparison of cerebrospinal fluid and magnetic resonance imaging …

T Dalkilic, N Fallah, VK Noonan… - Journal of …, 2018 - liebertpub.com
Biomarkers of acute human spinal cord injury (SCI) could provide a more objective measure
of spinal cord damage and a better predictor of neurological outcome than current …

Update on critical care for acute spinal cord injury in the setting of polytrauma

JK Yue, EA Winkler, JW Rick, H Deng, CP Partow… - Neurosurgical …, 2017 - thejns.org
Traumatic spinal cord injury (SCI) often occurs in patients with concurrent traumatic injuries
in other body systems. These patients with polytrauma pose unique challenges to clinicians …

XGBoost, a machine learning method, predicts neurological recovery in patients with cervical spinal cord injury

T Inoue, D Ichikawa, T Ueno, M Cheong… - Neurotrauma …, 2020 - liebertpub.com
The accurate prediction of neurological outcomes in patients with cervical spinal cord injury
(SCI) is difficult because of heterogeneity in patient characteristics, treatment strategies, and …

Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers

M Seif, CAM Gandini Wheeler-Kingshott… - Spinal Cord, 2019 - nature.com
Traumatic spinal cord injury (SCI) leads to immediate neuronal and axonal damage at the
focal injury site and triggers secondary pathologic series of events resulting in sensorimotor …

Convolutional neural network–based automated segmentation of the spinal cord and contusion injury: Deep learning biomarker correlates of motor impairment in …

DB McCoy, SM Dupont, C Gros… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Our aim was to use 2D convolutional neural networks for
automatic segmentation of the spinal cord and traumatic contusion injury from axial T2 …

Perfusion imaging metrics after acute traumatic spinal cord injury are associated with injury severity in rats and humans

ZZ Khaing, J Leyendecker, JN Harmon… - Science Translational …, 2024 - science.org
Traumatic spinal cord injury (tSCI) causes an immediate loss of neurological function, and
the prediction of recovery is difficult in the acute phase. In this study, we used contrast …

A clinical practice guideline for the management of patients with acute spinal cord injury: recommendations on the role of baseline magnetic resonance imaging in …

MG Fehlings, AR Martin, LA Tetreault… - Global spine …, 2017 - journals.sagepub.com
Introduction: The objective of this guideline is to outline the role of magnetic resonance
imaging (MRI) in clinical decision making and outcome prediction in patients with traumatic …

Impact of admission imaging findings on neurological outcomes in acute cervical traumatic spinal cord injury

HF Farhadi, S Kukreja, A Minnema, L Vatti… - Journal of …, 2018 - liebertpub.com
Variable and unpredictable spontaneous recovery can occur after acute cervical traumatic
spinal cord injury (tSCI). Despite the critical clinical and interventional trial planning …