Dataset Information

Arterial Spin Labeling Magnetic Resonance Imaging Estimation of Antegrade and Collateral Flow in Unilateral Middle Cerebral Artery Stenosis.

ABSTRACT: Three-dimensional pseudocontinuous arterial spin labeling with multiple postlabeling delays has been used to assess cerebral blood flow (CBF). We used this modality to estimate antegrade and collateral flow in patients with unilateral middle cerebral artery stenosis.Consecutive patients with unilateral middle cerebral artery 50% to 99% stenosis at 2 centers underwent pseudocontinuous arterial spin labeling with a postlabeling delays of 1.5 and 2.5 s. Mean CBF of bilateral middle cerebral artery territory at the postlabeling delays 1.5 and 2.5 s was measured. Early-arriving flow proportion was defined as (CBF 1.5 s at lesion side/CBF 2.5 s at normal side)×100%. Late-arriving retrograde flow proportion was defined as ([CBF 2.5 s-CBF 1.5 s] at lesion side-[CBF 2.5 s-CBF 1.5 s] at normal side)/CBF 2.5 s at normal side×100%. Antegrade and collateral scales were evaluated in patients with conventional angiography. Spearman correlation coefficients were calculated between early-arriving flow and late-arriving retrograde flow proportions on arterial spin labeling and antegrade and collateral scales on conventional angiography, respectively.Forty-one patients (46.0±12.0 years) were enrolled. The mean early-arriving flow proportion was 78.3±14.9%. The mean late-arriving retrograde flow proportion was 16.1±10.2%. In 21 patients with conventional angiography, Spearman correlation coefficient was 0.53 (95% confidence interval, 0.11-0.79) between antegrade grade and early-arriving flow proportion (P=0.01) and 0.81 (95% confidence interval, 0.56-0.92) between collateral grade and late-arriving retrograde flow proportion (P<0.0001).Three-dimensional pseudocontinuous arterial spin labeling with 2 postlabeling delays may provide an empirical approach for estimating antegrade and collateral flow in patients with unilateral middle cerebral artery stenosis.URL: http://www.clinicaltrials.gov. Unique identifier: NCT02479243.

SUBMITTER: Lyu J

PROVIDER: S-EPMC4729602 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Arterial Spin Labeling Magnetic Resonance Imaging Estimation of Antegrade and Collateral Flow in Unilateral Middle Cerebral Artery Stenosis.

Lyu Jinhao J Ma Ning N Liebeskind David S DS Wang Danny J J DJ Ma Lin L Xu Yang Y Wang Ting T Miao Zhongrong Z Lou Xin X

Stroke 20160105 2

<h4>Background and purpose</h4>Three-dimensional pseudocontinuous arterial spin labeling with multiple postlabeling delays has been used to assess cerebral blood flow (CBF). We used this modality to estimate antegrade and collateral flow in patients with unilateral middle cerebral artery stenosis.<h4>Methods</h4>Consecutive patients with unilateral middle cerebral artery 50% to 99% stenosis at 2 centers underwent pseudocontinuous arterial spin labeling with a postlabeling delays of 1.5 and 2.5 s ...[more]

PMID: 26732570

Similar Datasets

Project description:Background:Distinguishing moyamoya disease (MMD) from intracranial atherosclerotic stenosis (IAS) is critical for its treatment and outcome evaluation. This study aimed to use the combined sequences of high-resolution magnetic resonance imaging (HRMRI) and arterial spin labeling MR (ASL-MR) to identify the two entities accurately. Methods:This prospective study enrolled 58 patients with middle cerebral artery (MCA) steno-occlusion identified by digital subtraction angiography (DSA), including 27 cases of MMD and 31 cases of IAS. All patients underwent MRA, HRMRI and ASL-MR prior to DSA. Two radiologists blinded to DSA results analyzed the MR images. The inner and outer diameters of the target arteries, the wall thickness of the stenotic segment, and the perfusion status in the territories of the target arteries [cerebral blood flow (CBF), cerebral blood volume (CBV) and arterial transit time (ATT)] were measured quantitatively. The differences between MMD and IAS regarding the aspects of HRMRI and Pseudo-continuous ASLMR (PCASL-MR) maps were analyzed based on both visual characteristics and data information. Results:Regarding the HRMRI images, MMD tended to have homogeneous and concentric vessel-wall thickening as well as collaterals adjacent to the stenotic vessels; while IAS showed eccentric and heterogeneous vessel-wall thickening. For the CBF maps of PCASL-MR, abnormal hyper-perfused spots embedded inside the hypo-perfused regions were observed in MMD instead of IAS. Quantitative analysis revealed that MMD displayed smaller inner and outer diameters, and smaller maximum wall thickness, higher average value of CBF, CBV and ATT, and higher maximum value of CBF and CBV, when compared to IAS (all P<0.01). The average wall thickness and the maximum value of ATT showed no significant difference between MMD and IAS (P>0.01). Conclusions:HRMRI combined with PCASL-MR may help distinguish MMD and IAS induced cerebral arterial stenosis and cerebral perfusion disorder accurately and non-invasively.

Project description:BackgroundInvestigating the effect of post-labeling delay (PLD) on regional cerebral blood flow (CBF) in adults and optimizing the PLD for arterial spin-labeling (ASL) magnetic resonance (MR) imaging are important.MethodsPseudo-continuous ASL imaging with a three PLDs protocol was performed in 90 healthy adult volunteers from January 2018 to February 2019. Healthy subjects were divided into youth group (mean age, 30.63 years; age range, 20-44 years), middle-aged group (mean age, 52.16 years; age range 45-59 years) and elderly group (mean age, 66.07 years; age range, 60-77 years). After preprocessing, analyses of variance (ANOVA) and volume-of-interest (VOI) were conducted to compare the CBF in each brain region. According to the trends of CBF changing with PLD and the results of ANOVA, we optimized the PLD for ASL imaging in different brain regions and age groups.ResultsThe CBF values of 87 VOIs [global gray matter (global GM) and other 86 VOIs] for each subject were obtained. Young people had less statistically significant VOIs than middle-aged and elderly people [Numbers of VOIs which had statistical significance (P < .05) in the analysis of ANOVA: 42 (youth group), 79 (middle-aged group), and 71 (elderly group)]. In youth group, the deep GM, occipital lobe and temporal lobe were more affected by PLDs than limbic system, frontal lobe and parietal lobe [VOIs with statistical significance (P < .05)/total VOIs: 8/8 (deep GM) > 8/12 (occipital lobe) > (8/14) (temporal lobe) > 5/12 (limbic system) > 11/28 (frontal lobe) > (2/12) parietal lobe]. In middle-aged group, the limbic system, deep GM and temporal lobe were more affected by PLDs than parietal lobe, frontal lobe and occipital lobe [VOIs with statistical significance (P < 0.05)/total VOIs: 12/12 (limbic system) = 8/8 (deep GM) > (13/14) (temporal lobe) > (11/12) parietal lobe > 25/28 (frontal lobe) > 9/12 (occipital lobe)]. In elderly group, the temporal lobe, parietal lobe, and frontal lobe were more affected by PLDs than occipital lobe, limbic system, and deep GM [VOIs with statistical significance (P < .05)/total VOIs: 14/14 (temporal lobe) > 12/12 (parietal lobe) > 22/28 (frontal lobe) > 9/12 (occipital lobe) > 8/12 (limbic system) > 5/8 (deep GM)]. The optimal PLD for most VOIs in youth group was 1525 ms. However, for middle-aged and elderly group, the optimal PLD for most VOIs was 2525 ms.ConclusionYoung people are less affected by PLDs than middle-aged and elderly people. The middle-aged people are most affected by PLDs. In addition, the spatial distributions of PLD effect were different among the three age groups. Optimizing the PLD for ASL imaging according to age and brain regions can obtain more accurate and reliable CBF values.

Dataset Information

Arterial Spin Labeling Magnetic Resonance Imaging Estimation of Antegrade and Collateral Flow in Unilateral Middle Cerebral Artery Stenosis.

Publications

Arterial Spin Labeling Magnetic Resonance Imaging Estimation of Antegrade and Collateral Flow in Unilateral Middle Cerebral Artery Stenosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets