BACKGROUND AND PURPOSE: The goal of this study was to determine blood-brain barrier permeability (BBBP) values extracted from perfusion-CT (PCT) using the Patlak model and possible variations related to age, gender, race, vascular risk factors and their treatment and anatomy in non-stroke patients. MATERIALS AND METHODS: We retrospectively identified 96 non-stroke patients who underwent a PCT study using a prolonged acquisition time up to 3 minutes. Patients' charts were reviewed for demographic data, vascular risk factors and their treatment. The Patlak model was applied to calculate BBBP values in regions of interest drawn within the basal ganglia and the gray and white matter of the different cerebral lobes. Differences in BBBP values were analyzed using a multivariate analysis considering clinical variables and anatomy. RESULTS: Mean absolute BBBP values were 1.2 ml 100 g(-1) min(-1) and relative BBBP/CBF values were 3.5%. Statistical differences between gray and white matter were not clinically relevant. BBBP values were influenced by age, history of diabetes and/or hypertension and aspirin intake. CONCLUSION: This study reports ranges of BBBP values in non-stroke patients calculated from delayed phase PCT data using the Patlak model. These ranges will be useful to detect abnormal BBBP values when assessing patients with cerebral infarction for the risk of hemorrhagic transformation.
BACKGROUND AND PURPOSE: The goal of this study was to determine blood-brain barrier permeability (BBBP) values extracted from perfusion-CT (PCT) using the Patlak model and possible variations related to age, gender, race, vascular risk factors and their treatment and anatomy in non-strokepatients. MATERIALS AND METHODS: We retrospectively identified 96 non-strokepatients who underwent a PCT study using a prolonged acquisition time up to 3 minutes. Patients' charts were reviewed for demographic data, vascular risk factors and their treatment. The Patlak model was applied to calculate BBBP values in regions of interest drawn within the basal ganglia and the gray and white matter of the different cerebral lobes. Differences in BBBP values were analyzed using a multivariate analysis considering clinical variables and anatomy. RESULTS: Mean absolute BBBP values were 1.2 ml 100 g(-1) min(-1) and relative BBBP/CBF values were 3.5%. Statistical differences between gray and white matter were not clinically relevant. BBBP values were influenced by age, history of diabetes and/or hypertension and aspirin intake. CONCLUSION: This study reports ranges of BBBP values in non-strokepatients calculated from delayed phase PCT data using the Patlak model. These ranges will be useful to detect abnormal BBBP values when assessing patients with cerebral infarction for the risk of hemorrhagic transformation.
Authors: Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Hua Su; Peter T Ohara; William L Young; Max Wintermark Journal: Stroke Date: 2011-06-02 Impact factor: 7.914
Authors: Costantino Iadecola; Kristine Yaffe; José Biller; Lisa C Bratzke; Frank M Faraci; Philip B Gorelick; Martha Gulati; Hooman Kamel; David S Knopman; Lenore J Launer; Jane S Saczynski; Sudha Seshadri; Adina Zeki Al Hazzouri Journal: Hypertension Date: 2016-10-10 Impact factor: 10.190
Authors: J Hom; J W Dankbaar; B P Soares; T Schneider; S-C Cheng; J Bredno; B C Lau; W Smith; W P Dillon; M Wintermark Journal: AJNR Am J Neuroradiol Date: 2010-10-14 Impact factor: 3.825
Authors: Alexandra Kleimann; Sermin Toto; Christian K Eberlein; Jan T Kielstein; Stefan Bleich; Helge Frieling; Marcel Sieberer Journal: PLoS One Date: 2014-07-09 Impact factor: 3.240