title: Pediatric brain injury: can DTI scalars predict functional outcome?
abstract: Diffusion imaging has made significant inroads into the clinical diagnosis of a variety of diseases by inferring changes in microstructure, namely cell membranes, myelin sheath and other structures that inhibit water diffusion. This review discusses recent progress in the use of diffusion parameters in predicting functional outcome. Studies in the literature using only scalar parameters from diffusion measurements, such as apparent diffusion coefficient (ADC) and fractional anisotropy (FA), are summarized. Other more complex mathematical models and post-processing uses are also discussed briefly.
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California-San Francisco, 1 Irving St, AC112, Box 2512, San Francisco, CA 94143, USA. duan.xu@ucsf.edu
authors.forename: Duan
authors.initials: D
authors.lastname: Xu
authors.forename: Pratik
authors.initials: P
authors.lastname: Mukherjee
authors.forename: A James
authors.initials: AJ
authors.lastname: Barkovich
mesh_terms: D001921:Brain / Q000254:growth & development; D001930:Brain Injuries / Q000473:pathology*; D002648:Child; D002657:Child Development; D056324:Diffusion Tensor Imaging; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D020521:Stroke / Q000473:pathology