Literature DB >> 19724234

Relative recirculation: a fast, model-free surrogate for the measurement of blood-brain barrier permeability and the prediction of hemorrhagic transformation in acute ischemic stroke.

Shengping Wu1, Rebecca E Thornhill, Shuo Chen, Wael Rammo, David J Mikulis, Andrea Kassner.   

Abstract

OBJECTIVES: To retrospectively evaluate the prognostic performance of a dynamic susceptibility contrast (DSC) MRI metric for permeability (relative recirculation or rR) for the prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS). To compare rR with dynamic contrast-enhanced (DCE) MRI estimates of blood-brain barrier permeability (KPS).
MATERIALS AND METHODS: Data obtained from 26 patients (age: 27-89 years) with a working diagnosis of AIS were examined retrospectively. Patients were examined within a mean of 3.5 hours of symptom onset. Eleven patients received intravenous recombinant tissue-plasminogen activator (rt-PA). HT was determined by follow-up computed tomography and/or magnetic resonance imaging 24 to 72 hours after initial imaging. Permeability (DCE) always preceded DSC imaging and consisted of a 3D gradient-recalled echo scan acquired in 4 minutes 48 s. DSC imaging consisted of a T2*-weighted single shot EPI scan acquired in 43 to 86 seconds. Gadodiamide (0.1 mmol/kg) was injected as a bolus for each scan. Permeability (KPS) and rR were calculated offline for regions of interest (ROI) defined within the core of the infarct, as well as within the homologous location in the contralateral hemisphere. The relationship between KPS and rR was investigated using linear regression and receiver operating characteristic (ROC) curves were computed for predicting HT from either rR or KPS.
RESULTS: Eleven patients proceeded to HT (including 5 treated with rt-PA). Mean KPS values were significantly elevated in infarct relative to contralateral areas (0.84 +/- 0.57 vs. 0.42 +/- 0.34 mL/100 g/min; P = 0.0003). For infarct ROIs, KPS values were significantly greater in patients with HT compared with non-HT patients (1.25 +/- 0.63 vs. 0.53 +/- 0.23 mL/100 g/min; P = 0.0015). KPS values were higher in patients who received rt-PA than in untreated patients (1.09 +/- 0.61 vs. 0.65 +/- 0.47 mL/100 g/min; P = 0.0497). ROC analysis indicated a KPS threshold value of 0.67 mL/100 g/min for providing an optimal sensitivity and specificity for predicting HT of 91% and 80%, respectively. Mean rR values for infarct ROIs were significantly higher than those determined for contralateral regions (0.17 +/- 0.06 vs. 0.09 +/- 0.03; P < 0.0001). The mean rR for the HT group was significantly greater than for the non-HT group (0.22 +/- 0.05 vs. 0.14 +/- 0.05; P = 0.0002). As with KPS, the mean rR for patients who were treated with rt-PA was significantly greater than for untreated patients (0.21 +/- 0.07 vs. 0.15 +/- 0.05; P = 0.0112). ROC analysis indicated a threshold value of 0.17 for providing optimal sensitivity and specificity for predicting HT of 91% and 87%, respectively. There was a significant correlation between rR and KPS for infarct ROIs (r = 0.67; P < 0.001).
CONCLUSIONS: Both KPS and rR are significantly elevated in infarcted, relative to uninfarcted tissue in the same AIS patient. Both parameters were also significantly elevated in HT, relative to non-HT infarcts. The strong correlation between rR and KPS, coupled with the high sensitivity and specificity of rR for the prediction of HT suggest that rR is related to blood-brain barrier integrity in AIS and may prove valuable in the prediction of HT.

Entities:  

Mesh:

Year:  2009        PMID: 19724234     DOI: 10.1097/RLI.0b013e3181ae9c40

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  19 in total

1.  Decreased frontal lobe gray matter perfusion in cognitively impaired patients with secondary-progressive multiple sclerosis detected by the bookend technique.

Authors:  R I Aviv; P L Francis; R Tenenbein; P O'Connor; L Zhang; A Eilaghi; L Lee; T J Carroll; J Mouannes-Srour; A Feinstein
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

2.  Normal-appearing white matter permeability distinguishes poor cognitive performance in processing speed and working memory.

Authors:  A Eilaghi; A Kassner; I Sitartchouk; P L Francis; R Jakubovic; A Feinstein; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-30       Impact factor: 3.825

3.  Contrast-enhanced MR imaging in acute ischemic stroke: T2* measures of blood-brain barrier permeability and their relationship to T1 estimates and hemorrhagic transformation.

Authors:  R E Thornhill; S Chen; W Rammo; D J Mikulis; A Kassner
Journal:  AJNR Am J Neuroradiol       Date:  2010-02-25       Impact factor: 3.825

4.  Normal appearing white matter permeability: a marker of inflammation and information processing speed deficit among relapsing remitting multiple sclerosis patients.

Authors:  Eldar Eftekhari; Seyed-Parsa Hojjat; Rita Vitorino; Timothy J Carroll; Charles Grady Cantrell; Liesly Lee; Matthew W Taylor; Sarah A Morrow; Haddas Benhabib; Richard I Aviv; Andrea Kassner
Journal:  Neuroradiology       Date:  2017-06-16       Impact factor: 2.804

5.  Effects of agmatine on blood-brain barrier stabilization assessed by permeability MRI in a rat model of transient cerebral ischemia.

Authors:  S S Ahn; S H Kim; J E Lee; K J Ahn; D J Kim; H S Choi; J Kim; N-Y Shin; S-K Lee
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-01       Impact factor: 3.825

6.  Detection of Hyperperfusion on Arterial Spin Labeling using Deep Learning.

Authors:  Nicholas Vincent; Noah Stier; Songlin Yu; David S Liebeskind; Danny Jj Wang; Fabien Scalzo
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2015-12-17

7.  Microbubbles improve sonothrombolysis in vitro and decrease hemorrhage in vivo in a rabbit stroke model.

Authors:  Aliza T Brown; Rene Flores; Eric Hamilton; Paula K Roberson; Michael J Borrelli; William C Culp
Journal:  Invest Radiol       Date:  2011-03       Impact factor: 6.016

Review 8.  Matrix metalloproteinases as therapeutic targets for stroke.

Authors:  Yi Yang; Gary A Rosenberg
Journal:  Brain Res       Date:  2015-04-25       Impact factor: 3.252

9.  Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Authors:  Fabien Scalzo; Jeffry R Alger; Xiao Hu; Jeffrey L Saver; Krishna A Dani; Keith W Muir; Andrew M Demchuk; Shelagh B Coutts; Marie Luby; Steven Warach; David S Liebeskind
Journal:  Magn Reson Imaging       Date:  2013-04-13       Impact factor: 2.546

10.  Pretreatment blood-brain barrier damage and post-treatment intracranial hemorrhage in patients receiving intravenous tissue-type plasminogen activator.

Authors:  Richard Leigh; Shyian S Jen; Argye E Hillis; John W Krakauer; Peter B Barker
Journal:  Stroke       Date:  2014-05-15       Impact factor: 7.914

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.