Evaluating Middle Cerebral Artery Plaque Characteristics and Lenticulostriate Artery Morphology Associated With Subcortical Infarctions at 7T MRI

Author:

Bai Xiaoyan12ORCID,Fan Pingping12,Li Zhiye12,Mossa‐Basha Mahmud34,Ju Yi5,Zhao Xingquan5,Kong Qingle6,Pei Xun12,Zhang Xue12,Sui Binbin1ORCID,Zhu Chengcheng4ORCID

Affiliation:

1. Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital Capital Medical University Beijing China

2. Department of Radiology, Beijing Tiantan Hospital Capital Medical University Beijing China

3. Department of Radiology University of North Carolina Chapel Hill North Carolina USA

4. Department of Radiology University of Washington Seattle Washington USA

5. Department of Neurology, Beijing Tiantan Hospital Capital Medical University Beijing China

6. MR Collaboration, Siemens Healthineers Ltd. Beijing China

Abstract

BackgroundLenticulostriate artery (LSA) obstruction is a potential cause of subcortical infarcts. However, MRI LSA evaluation at 3T is challenging.PurposeTo investigate middle cerebral artery (MCA) plaque characteristics and LSA morphology associated with subcortical infarctions in LSA territories using 7‐T vessel wall MRI (VW‐MRI) and time‐of‐flight MR angiography (TOF‐MRA).Study TypeProspective.PopulationSixty patients with 80 MCA atherosclerotic plaques (37 culprit and 43 non‐culprit).Field Strength/Sequence7‐T with 3D TOF‐MRA and T1‐weighted 3D sampling perfection with application‐optimized contrast using different flip angle evolutions (SPACE) sequences.AssessmentPlaque distribution (superior, inferior, ventral, or dorsal walls), LSA origin involvement, LSA morphology (numbers of stems, branches, and length), and plaque characteristics (normalized wall index, maximal wall thickness, plaque length, remodeling index, intraplaque hemorrhage, and plaque surface morphology (regular or irregular)) were assessed.Statistical TestsLeast absolute shrinkage and selection operator regression, generalized estimating equations regression, receiver operating characteristic curve, independent t‐test, Mann–Whitney U test, Chi‐square test, Fisher's exact test, and intra‐class coefficient. A P value <0.05 was considered statistically significant.ResultsPlaque irregular surface, superior wall plaque, longer plaque length, LSA origin involvement, fewer LSA stems, and shorter total and average lengths of LSAs were significantly associated with culprit plaques. Multivariable logistic analysis confirmed that LSA origin involvement (OR, 28.51; 95% CI, 6.34–181.02) and plaque irregular surface (OR, 8.32; 95% CI, 1.41–64.73) were independent predictors in differentiating culprit from non‐culprit plaques. A combination of LSA origin involvement and plaque irregular surface (area under curve = 0.92; [95% CI, 0.86–0.98]) showed good performance in identifying culprit plaques, with sensitivity and specificity of 86.5% and 86.0%, respectively.Data Conclusion7‐T VW‐MRI and TOF‐MRA can demonstrate plaque involvement with LSA origins. MCA plaque characteristics derived from 7‐T VW‐MRI showed good diagnostic accuracy in determining the occurrence of subcortical infarctions.Evidence Level2Technical EfficacyStage 3

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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