A Systematic Review of ASL Perfusion MRI in Mild TBI.
Yang WangHannah M BartelsLindsay D NelsonPublished in: Neuropsychology review (2020)
Mild traumatic brain injury (mTBI) is a major public health concern. Cerebrovascular alterations play a significant role in the evolution of injury sequelae and in the process of post-traumatic brain repair. Arterial spin labeling (ASL) is an advanced perfusion magnetic resonance imaging technique that permits noninvasive quantification of cerebral blood flow (CBF). This is the first systematic review of ASL research findings in patients with mTBI. Our approach followed the American Academy of Neurology (AAN) and PRISMA guidelines. We searched Ovid/MEDLINE, Web of Science, Scopus, and the Cochrane Index for relevant articles published as of February 20, 2020. Full-text results were combined into Rayyan software for further evaluation. Data extraction, including risk of bias ratings, was performed using American Academy of Neurology's four-tiered classification scheme. Twenty-three articles met inclusion criteria comprising data on up to 566 mTBI patients and 654 control subjects. Of the 23 studies, 18 reported some type of regional CBF abnormality in mTBI patients at rest or during a cognitive task, with more findings of decreased than increased CBF. The evidence supports the conclusion that mTBI likely causes ASL-derived CBF anomalies. However, synthesis of findings was challenging due to substantial methodological variations across studies and few studies with low risk of bias. Thus, larger-scale prospective cohort studies are needed to more definitively chart the course of CBF changes in humans after mTBI and to understand how individual difference factors contribute to post-injury CBF changes.
Keyphrases
- mild traumatic brain injury
- cerebral blood flow
- public health
- magnetic resonance imaging
- contrast enhanced
- systematic review
- meta analyses
- case control
- end stage renal disease
- machine learning
- computed tomography
- newly diagnosed
- ejection fraction
- electronic health record
- chronic kidney disease
- peritoneal dialysis
- big data
- tyrosine kinase
- prognostic factors
- magnetic resonance
- white matter
- resting state
- smoking cessation
- blood brain barrier
- density functional theory
- ionic liquid
- single molecule
- artificial intelligence