Current State of Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Traumatic Brain Injury Prognostication.
Anisotropy
Concussion
Diffusion tensor imaging (DTI)
Kurtosis
MR imaging
Machine learning (ML)
Prognosis
Traumatic brain injury (TBI)
Journal
Neuroimaging clinics of North America
ISSN: 1557-9867
Titre abrégé: Neuroimaging Clin N Am
Pays: United States
ID NLM: 9211377
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
medline:
28
3
2023
entrez:
25
3
2023
pubmed:
26
3
2023
Statut:
ppublish
Résumé
Advanced imaging techniques are needed to assist in providing a prognosis for patients with traumatic brain injury (TBI), particularly mild TBI (mTBI). Diffusion tensor imaging (DTI) is one promising advanced imaging technique, but has shown variable results in patients with TBI and is not without limitations, especially when considering individual patients. Efforts to resolve these limitations are being explored and include developing advanced diffusion techniques, creating a normative database, improving study design, and testing machine learning algorithms. This article will review the fundamentals of DTI, providing an overview of the current state of its utility in evaluating and providing prognosis in patients with TBI.
Identifiants
pubmed: 36965946
pii: S1052-5149(23)00004-7
doi: 10.1016/j.nic.2023.01.004
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
279-297Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.