BACKGROUND AND PURPOSE: In patients with carotid stenosis or occlusion, cerebral blood could be supplied through collateral pathways to improve regional blood flow and protect against ischemic events. The contribution of collaterals from the ICA can be assessed by depiction of vascular perfusion territories with ASL. However, so far there is no method available to evaluate the collateral perfusion territory from the ECA in MR imaging. In this study, we present a new labeling scheme based on VE-ASL to quantitatively assess the perfusion territory of the ECA. MATERIALS AND METHODS: A new labeling approach with a Hadamard encoding scheme was developed to label major arteries, especially the ECA. Twelve healthy subjects with normal cerebrovascular anatomy were examined to demonstrate their perfusion territories. Eight patients with carotid artery stenosis or occlusion were assessed before and after surgery to show changes of their collateral blood supply. RESULTS: The proposed method enables assessment of the perfusion territories of the ECA. Good agreement was found between the vascular territories and normal cerebrovascular anatomy in healthy subjects. For the patients with carotid stenosis or occlusion, our noninvasive results provided information on collateral flow comparable with that from DSA. Their collateral flows from the ECA, moreover, could be quantitatively estimated pre- and postoperatively. CONCLUSIONS: The modified approach has been validated by the consistency of collateral perfusion territories with cerebrovascular anatomy, and quantitative assessment of collaterals proved useful for assisting in evaluating therapeutic interventions.
BACKGROUND AND PURPOSE: In patients with carotid stenosis or occlusion, cerebral blood could be supplied through collateral pathways to improve regional blood flow and protect against ischemic events. The contribution of collaterals from the ICA can be assessed by depiction of vascular perfusion territories with ASL. However, so far there is no method available to evaluate the collateral perfusion territory from the ECA in MR imaging. In this study, we present a new labeling scheme based on VE-ASL to quantitatively assess the perfusion territory of the ECA. MATERIALS AND METHODS: A new labeling approach with a Hadamard encoding scheme was developed to label major arteries, especially the ECA. Twelve healthy subjects with normal cerebrovascular anatomy were examined to demonstrate their perfusion territories. Eight patients with carotid artery stenosis or occlusion were assessed before and after surgery to show changes of their collateral blood supply. RESULTS: The proposed method enables assessment of the perfusion territories of the ECA. Good agreement was found between the vascular territories and normal cerebrovascular anatomy in healthy subjects. For the patients with carotid stenosis or occlusion, our noninvasive results provided information on collateral flow comparable with that from DSA. Their collateral flows from the ECA, moreover, could be quantitatively estimated pre- and postoperatively. CONCLUSIONS: The modified approach has been validated by the consistency of collateral perfusion territories with cerebrovascular anatomy, and quantitative assessment of collaterals proved useful for assisting in evaluating therapeutic interventions.
Authors: Matthias J P van Osch; Jeroen Hendrikse; Xavier Golay; Chris J G Bakker; Jeroen van der Grond Journal: Med Image Anal Date: 2005-06-13 Impact factor: 8.545
Authors: Max Wintermark; Musa Sesay; Emmanuel Barbier; Katalin Borbély; William P Dillon; James D Eastwood; Thomas C Glenn; Cécile B Grandin; Salvador Pedraza; Jean-François Soustiel; Tadashi Nariai; Greg Zaharchuk; Jean-Marie Caillé; Vincent Dousset; Howard Yonas Journal: Stroke Date: 2005-08-11 Impact factor: 7.914
Authors: D F Schomer; M P Marks; G K Steinberg; I M Johnstone; D B Boothroyd; M R Ross; N J Pelc; D R Enzmann Journal: N Engl J Med Date: 1994-06-02 Impact factor: 91.245
Authors: S L Yu; R Wang; R Wang; S Wang; Y Q Yao; D Zhang; Y L Zhao; Z T Zuo; R Xue; D J J Wang; J Z Zhao Journal: AJNR Am J Neuroradiol Date: 2013-07-18 Impact factor: 3.825