The Diagnosis of Head Injury Requires a Classification Based on Computed Axial Tomography

Overview

Journal J Neurotrauma

Publisher Mary Ann Liebert

Specialties Emergency Medicine
Neurology

Date 1992 Mar 1

PMID 1588618

Citations 271

Authors

L F Marshall

S B MARSHALL

M R Klauber

M Van Berkum Clark

H EISENBERG

J A Jane

T G Luerssen

A Marmarou

M A Foulkes

Affiliations

Soon will be listed here.

Abstract

The introduction of structural imaging of the brain by computed tomography (CT) scans and magnetic resonance imaging (MRI) has further refined classification of head injury for prognostic, diagnosis, and treatment purposes. We describe a new classification scheme to be used both as a research and a clinical tool in association with other predictors of neurologic status.

Citing Articles

Evaluation of CT and MRI Radiomics for an Early Assessment of Diffuse Axonal Injury in Patients with Traumatic Brain Injury Compared to Conventional Radiological Diagnosis.

Meissner A, Gutsche R, Pennig L, Nelles C, Budzejko E, Hamisch C Clin Neuroradiol. 2025; .

PMID: 40053087 DOI: 10.1007/s00062-025-01507-6.

Machine Learning Approaches to Prognostication in Traumatic Brain Injury.

Badjatia N, Podell J, Felix R, Chen L, Dalton K, Wang T Curr Neurol Neurosci Rep. 2025; 25(1):19.

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Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.

Andishgar A, Rismani M, Bazmi S, Mohammadi Z, Hooshmandi S, Kian B Sci Rep. 2025; 15(1):5913.

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The Brussels consensus for non-invasive ICP monitoring when invasive systems are not available in the care of TBI patients (the B-ICONIC consensus, recommendations, and management algorithm).

Robba C, Picetti E, Vasquez-Garcia S, Abulhasan Y, Ain A, Adeleye A Intensive Care Med. 2025; 51(1):4-20.

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Unravelling Secondary Brain Injury: Insights from a Human-Sized Porcine Model of Acute Subdural Haematoma.

Kapapa T, Wernheimer V, Hoffmann A, Merz T, Zink F, Wolfschmitt E Cells. 2025; 14(1.

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