Original Article
Accuracy of high resolution MRI in measurement of vascular stenosis ratio in atherosclerotic middle cerebral artery
Yongsheng Wang, Wenjie Zhang, Mingrui Yang, Zhijie Yin, Jing Wang, Xiaofei Zhong, Xingyue Jiang, Shanchang Shen
Published 2019-06-04
Cite as Chin J Gen Pract, 2019, 18(6): 553-557. DOI: 10.3760/cma.j.issn.1671-7368.2019.06.009
Abstract
ObjectiveTo evaluate the accuracy of measurements of atherosclerotic middle cerebral artery (MCA) stenosis with 3.0 T high-resolution magnetic resonance imaging (HR-MRI).
MethodsForty patients with symptomatic atherosclerotic stenosis of middle cerebral artery (MCA) confirmed by digital subtraction angiography (DSA) in the Affiliated Hospital of Binzhou Medical College from September 2017 to May 2018 were enrolled in the study. Patients were scanned by HR-MRI sequence (including T1WI, T2WI, PDWI). The MCA M1 stenosis rate on HR-MR images was assessed by warfarin-aspirin symptomatic intracranial artery disease (WASID) method and area measurement algorithm, respectively, and based on the stenosis rate the degree of stenosis (semi-quantitative measurement) was determined. The accuracy of the two measurement methods was evaluated with DSA results as the gold standard.
ResultsThe HR-MRI images showed the structure of the vessel wall clearly in 30 patients meeting the measurement requirements. The inner edge of the vessel was clearly distinguishable and smooth, showing eccentric stenosis. The stenosis rate of MCA measured by DSA, WASID method and area measurement algorithm were (82±17)%, (70±12)%, (81±16)%, respectively (P>0.05). The result of area measurement algorithm was better correlated with DSA (r=0.893); and the coincidence of the stenosis degree rate of two measurement method was 90%(27/30).
ConclusionThe area measurement algorithm based on the HS-MRI has high accuracy in measuring the degree of MCA stenosis,which is of high clinical application value.
Key words:
Magnetic resonance imaging; Middle cerebral artery stenosis; Atherosclerosis
Contributor Information
Yongsheng Wang
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Wenjie Zhang
School of Clinical Medicine, Binzhou Medical University, Yantai 264000, China
Mingrui Yang
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Zhijie Yin
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Jing Wang
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Xiaofei Zhong
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Xingyue Jiang
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
Shanchang Shen
Department of Radiology, Affiliated Hospital of Binzhou Medical University, Binzhou 256600, China
