title: An automatic procedure for normalization of cerebral blood volume maps in dynamic susceptibility contrast-based glioma imaging.
abstract: To characterize gliomas from dynamic susceptibility contrast (DSC)-based cerebral blood volume (CBV) maps, a CBV value from a normal-appearing region of interest is typically identified manually and used to normalize the CBV maps. This method is user-dependent and time-consuming. We propose an alternative approach based on automatic identification of normal-appearing first-pass curves from brain tissue. Our results in 101 patients suggest similar or better diagnostic accuracy values than the manual approach.
authors.affiliation: Department of Medical Physics, Oslo University Hospital, Oslo, Norway. kyrre.eeg.emblem@rikshospitalet.no
authors.forename: K E
authors.initials: KE
authors.lastname: Emblem
authors.forename: A
authors.initials: A
authors.lastname: Bjornerud
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001811:Blood Volume Determination / Q000592:standards; D001931:Brain Mapping / Q000379:methods / Q000592:standards*; D001932:Brain Neoplasms / Q000098:blood supply* / Q000401:mortality / Q000473:pathology; D002138:Calibration; D002533:Cerebral Angiography / Q000379:methods / Q000592:standards*; D002560:Cerebrovascular Circulation; D002648:Child; D005260:Female; D005910:Glioma / Q000098:blood supply* / Q000401:mortality / Q000473:pathology; D006801:Humans; D053208:Kaplan-Meier Estimate; D018810:Magnetic Resonance Angiography / Q000379:methods / Q000592:standards*; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012015:Reference Standards; D012307:Risk Factors; D055815:Young Adult