title: Diffusion tensor imaging in hemorrhagic stroke.
abstract: Diffusion tensor imaging (DTI) has evolved considerably over the last decade to now be knocking on the doors of wider clinical applications. There have been several efforts over the last decade to seek valuable and reliable application of DTI in different neurological disorders. The role of DTI in predicting outcomes in patients with brain tumors has been extensively studied and has become a fairly established clinical tool in this scenario. More recently DTI has been applied in mild traumatic brain injury to predict clinical outcomes based on DTI of the white matter tracts. The resolution of white matter fiber tractography based on DTI has improved over the years with increased magnet strength and better tractography post-processing. The role of DTI in hemorrhagic stroke has been studied preliminarily in the scientific literature. There is some evidence that DTI may be efficacious in predicting outcomes of motor function in animal models of intracranial hemorrhage. Only a handful of studies of DTI have been performed in subarachnoid hemorrhage or intraventricular hemorrhage scenarios. In this manuscript we will review the evolution of DTI, the existing evidence for its role in hemorrhagic stroke and discuss possible application of this non-invasive evaluation technique of human cerebral white matter tracts in the future.
authors.affiliation: Department of Radiology, University of Michigan, Ann Arbor, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, USA.
authors.forename: Neeraj
authors.initials: N
authors.lastname: Chaudhary
authors.affiliation: Department of Radiology, University of Michigan, Ann Arbor, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, USA.
authors.forename: Aditya S
authors.initials: AS
authors.lastname: Pandey
authors.affiliation: Department of Radiology, University of Michigan, Ann Arbor, USA; Department of Neurosurgery, University of Michigan, Ann Arbor, USA.
authors.forename: Joseph J
authors.initials: JJ
authors.lastname: Gemmete
authors.affiliation: Department of Neurosurgery, University of Michigan, Ann Arbor, USA.
authors.forename: Ya
authors.initials: Y
authors.lastname: Hua
authors.affiliation: Department of Neurology, The 1st Affiliated Hospital, Peking University, Beijing, China.
authors.forename: Yining
authors.initials: Y
authors.lastname: Huang
authors.affiliation: Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
authors.forename: Yuxiang
authors.initials: Y
authors.lastname: Gu
authors.affiliation: Department of Neurosurgery, University of Michigan, Ann Arbor, USA. Electronic address: guohuaxi@umich.edu.
authors.forename: Guohua
authors.initials: G
authors.lastname: Xi
mesh_terms: D001930:Brain Injuries / Q000175:diagnosis / Q000209:etiology; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020300:Intracranial Hemorrhages / Q000150:complications*; D020521:Stroke / Q000175:diagnosis* / Q000209:etiology*; D013997:Time Factors
keywords: Cerebral hemorrhage; Diffusion tensor imaging; Subarachnoid hemorrhage