Automatic quantification of computed tomography features in acute traumatic brain injury

S Jain, TV Vyvere, V Terzopoulos, DM Sima… - Journal of …, 2019 - liebertpub.com
Traumatic brain injury is a complex and diverse medical condition with a high frequency of
intracranial abnormalities. These can typically be visualized on a computed tomography …

Evaluation of novel computerized tomography scoring systems in human traumatic brain injury: an observational, multicenter study

EP Thelin, DW Nelson, J Vehviläinen, H Nyström… - PLoS …, 2017 - journals.plos.org
Background Traumatic brain injury (TBI) is a major contributor to morbidity and mortality.
Computerized tomography (CT) scanning of the brain is essential for diagnostic screening of …

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans

C Brossard, J Grèze, JA de Busschère, A Attyé… - Scientific Reports, 2023 - nature.com
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI)
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …

Quantitative CT improves outcome prediction in acute traumatic brain injury

EL Yuh, SR Cooper, AR Ferguson… - Journal of …, 2012 - liebertpub.com
The admission noncontrast head computed tomography (CT) scan has been demonstrated
to be one of several key early clinical and imaging features in the challenging problem of …

Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury

KN Keshavamurthy, OP Leary… - Medical Imaging …, 2017 - spiedigitallibrary.org
Traumatic brain injury (TBI) is a major cause of death and disability in the United States.
Time to treatment is often related to patient outcome. Access to cerebral imaging data in a …

Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and …

AIR Maas, CWPM Hukkelhoven, LF Marshall… - …, 2005 - journals.lww.com
BACKGROUND AND OBJECTIVE: The Marshall computed tomographic (CT) classification
identifies six groups of patients with traumatic brain injury (TBI), based on morphological …

Extended analysis of early computed tomography scans of traumatic brain injured patients and relations to outcome

DW Nelson, H Nyström, RM MacCallum… - Journal of …, 2010 - liebertpub.com
Traumatic brain injury (TBI) is responsible for up to 45% of in-hospital trauma mortality.
Computed tomography (CT) is central to acute TBI diagnostics, and millions of brain CT …

[HTML][HTML] Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and …

M Monteiro, VFJ Newcombe, F Mathieu… - The Lancet Digital …, 2020 - thelancet.com
Background CT is the most common imaging modality in traumatic brain injury (TBI).
However, its conventional use requires expert clinical interpretation and does not provide …

Prognostic value of computerized tomography scan characteristics in traumatic brain injury: results from the IMPACT study

AIR Maas, EW Steyerberg, I Butcher… - Journal of …, 2007 - liebertpub.com
Computerized tomography (CT) scanning provides an objective assessment of the structural
damage to the brain following traumatic brain injury (TBI). We aimed to describe and …

Interobserver variability in the assessment of CT imaging features of traumatic brain injury

KA Chun, GT Manley, SI Stiver, AH Aiken… - Journal of …, 2010 - liebertpub.com
The goal of our study was to determine the interobserver variability between observers with
different backgrounds and experience when interpreting computed tomography (CT) …