title: Model selection in measures of vascular parameters using dynamic contrast-enhanced MRI: experimental and clinical applications.
abstract: A review of the selection of models in dynamic contrast-enhanced MRI (DCE-MRI) is conducted, with emphasis on the balance between the bias and variance required to produce stable and accurate estimates of vascular parameters. The vascular parameters considered as a first-order model are the forward volume transfer constant K(trans) , the plasma volume fraction vp and the interstitial volume fraction ve . To illustrate the critical issues in model selection, a data-driven selection of models in an animal model of cerebral glioma is followed. Systematic errors and extended models are considered. Studies with nested and non-nested pharmacokinetic models are reviewed; models considering water exchange are considered.
authors.affiliation: Department of Neurology, Henry Ford Health System, Detroit, MI, USA. jre@neurnis.neuro.hfh.edu
authors.forename: James R
authors.initials: JR
authors.lastname: Ewing
authors.forename: Hassan
authors.initials: H
authors.lastname: Bagher-Ebadian
mesh_terms: D000465:Algorithms; D015982:Bias; D001810:Blood Volume; D001834:Body Water; D001927:Brain Diseases / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology*; D001932:Brain Neoplasms / Q000473:pathology; D001943:Breast Neoplasms / Q000473:pathology; D002536:Cerebral Arteries / Q000033:anatomy & histology; D002560:Cerebrovascular Circulation; D003287:Contrast Media / Q000493:pharmacokinetics; D005260:Female; D006400:Hematocrit; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008833:Microcirculation; D008954:Models, Biological; D059906:Neuroimaging / Q000379:methods*; D012107:Research Design
chemical_list: D003287:Contrast Media
keywords: DCE-MRI; cerebral glioma; microvascular permeability; model selection; patlak plot