Quantitative Assessment of External Carotid Artery Territory Supply with Modified Vessel-Encoded Arterial Spin-Labeling

Dang, Y.; Wu, Bing; Sun, Yukun; Mo, Dapeng; Wang, X.; Zhang, J.; Fang, Jing

doi:10.3174/ajnr.a2978

Cited by 10 publications

(4 citation statements)

References 33 publications

(45 reference statements)

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“…Vascular brain territories have been studied using magnetic resonance techniques such as arterial spin labeling , which provide information about brain perfusion from individual arteries. Recent advances have made also possible to assess collateral perfusion . However, these studies do not provide geometric characteristics of the vascular territories and the watershed zones.…”

Section: Introductionmentioning

confidence: 99%

Morphometric, geographic, and territorial characterization of brain arterial trees

Mut

Wright

Ascoli

et al. 2014

Int. J. Numer. Meth. Biomed. Engng.

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Morphometric information of the brain vascularization is valuable for a variety of clinical and scientific applications. In particular, this information is important when creating arterial tree models for imposing boundary conditions in numerical simulations of the brain hemodynamics. The purpose of this work is to provide quantitative descriptions of arterial branches, bifurcation patterns, shape and geographical distribution of the arborization of the main cerebral arteries as well as estimations of the corresponding vascular territories. For this purpose, subject-specific digital reconstructions of the brain vascular network created from 3T magnetic resonance angiography images of healthy volunteers are used to derive population averaged morphometric characteristics of the cerebral arterial trees.

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Section: Introductionmentioning

confidence: 99%

Morphometric, geographic, and territorial characterization of brain arterial trees

Mut

Wright

Ascoli

et al. 2014

Int. J. Numer. Meth. Biomed. Engng.

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“…VE-PCASL is a time efficient method for mapping multiple vascular territories by using x and y gradients to encode arteries within the labeling plane 15 . It has been applied in the evaluation of collateral circulation in ischemic cerebrovascular diseases in previous studies 16, 17 .…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Vessel-Encoded Pseudocontinuous Arterial Spin-Labeling in Identification of Feeding Arteries in Patients with Intracranial Arteriovenous Malformations

Wang

et al. 2013

AJNR Am J Neuroradiol

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Background and purpose Identifying feeding arteries of intracranial AVMs is very important for preoperative evaluation. DSA remains the reference standard for diagnosis but is invasive. Our aim was to evaluate the diagnostic accuracy of vessel-encoded pseudocontinuous arterial spin-labeling in identifying feeding arteries of intracranial AVMs by using DSA as the criterion standard. Methods Eighteen patients with AVMs were examined with vessel-encoded pseudocontinuous arterial spin-labeling and DSA. Three postlabeling delays (postlabeling delay _1, 1.3, and 1.6 seconds) were applied in 6 patients, and a single postlabeling delay (1 second) was applied in the remainder. Perfusion-weighted images were decoded into individual vascular territories with standard and relative tagging efficiencies, respectively. The supply fraction of each feeding artery to the AVMwas calculated. The within-subject ANOVAwas applied to compare supply fractions acquired across 3 postlabeling delays. Receiver operating characteristic analysis curves were calculated to evaluate the diagnostic accuracy of vessel-encoded pseudocontinuous arterial spin-labeling for identifying the feeding arteries of AVMs. Results There were no significant differences in supply fractions of 3 major arteries to AVMs acquired with 3 PLDs (p>0.05). For VE-PCASL with standard labeling efficiencies, the area under the ROC curve (AUC) was 0.935. The optimal cut-off of supply fraction for identifying feeding arteries was 15.17% and the resulting sensitivity and specificity were 84.62% and 93.33%, respectively. For VE-PCASL with custom labeling efficiencies, the AUC was 0.957. The optimal cut-off of supply fraction was 11.73% which yielded 89.74% sensitivity and 93.33% specificity. Conclusion The contribution fraction of each feeding artery of AVMs can be reliably estimated using VE-PCASL. VE-PCASL with either standard or custom labeling efficiencies offers a high level of diagnostic accuracy compared to DSA for identifying feeding arteries.

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“…This could influence the reliability of the susceptibility-based oxygenation imaging technique. Although blood signals have been used as endogenous contrast agents for multi-organ perfusion imaging by the arterial spin labeling technique (17,18), their quality and accuracy are still insufficient for skeletal muscle perfusion imaging.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of MRI based oxygenation imaging for the assessment of acute limb ischemia

Zhang¹,

Wang²,

Wang³

et al. 2020

Ann Transl Med

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Background: Acute limb ischemia (ALI) can lead to death and amputation. Evaluating the severity of ischemia is important but difficult, through current methods of examination. The purpose of this research was to demonstrate the feasibility of magnetic resonance imaging (MRI) susceptibility-based imaging techniques for use in assessing muscle oxygenation alterations in ALI. Methods: ALI animal models were established in 11 rabbits. Their left iliac arteries were embolized by microspheres. MRI scans were conducted 24 hours before (Pre) and 1 hour (Post 1) and 3 hours (Post 2) after the procedure. A susceptibility model was used to calculate skeletal muscle oxygenation extraction fraction (SMOEF) and relaxation rate (R2'). T2 weighted (T2w) imaging and diffusion-weighted (DW) imaging were performed. Results: The average calf muscle SMOEF in the embolized hindlimbs increased from 0.43±0.02 (Pre) to 0.48±0.02 (Post 1) and 0.50±0.02 (Post 2), both P<0.05. The R2' value increased from 13.01±2.31 s −1 (Pre) to 16.78±2.28 s −1 (Post 1) and 17.90±3.29 s −1 (Post 2), both P<0.05. No significant changes of SMOEF and R2' were found after embolization in the contralateral hindlimbs. Apparent diffusion coefficient (ADC) values derived from DW imaging remained unchanged at different stages compared to before the procedures (all P>0.05). No abnormal signals were observed in the anatomical T2w images at Post 1 and Post 2.Conclusions: This study demonstrates the feasibility of using SMOEF for the assessment of oxygenation alterations in ALI models. SMOEF is more sensitive than T2w and DW imaging in detecting acute muscle ischemia at an early stage.

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Quantitative Assessment of External Carotid Artery Territory Supply with Modified Vessel-Encoded Arterial Spin-Labeling

Cited by 10 publications

References 33 publications

Morphometric, geographic, and territorial characterization of brain arterial trees

Morphometric, geographic, and territorial characterization of brain arterial trees

Accuracy of Vessel-Encoded Pseudocontinuous Arterial Spin-Labeling in Identification of Feeding Arteries in Patients with Intracranial Arteriovenous Malformations

Feasibility of MRI based oxygenation imaging for the assessment of acute limb ischemia

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