Evidence map›Paper›PMID 40160666›Full record

ArticleQuantitative imaging in medicine and surgery2025

3D time-of-flight magnetic resonance angiography of lenticulostriate artery imaging at 5.0 Tesla: a hierarchic analysis method and clinical applications.

Hao Mei, Jinfeng Lv, Dan Xu, Lei Gao, Wenbo Sun, Xiaoli Zhong, Chenhong Fan, Ran Tao, Xiaopeng Song, Feng Xiao and 1 more

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hao Mei *Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jinfeng Lv *Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Dan XuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lei GaoDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wenbo SunDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiaoli ZhongDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Chenhong FanDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Ran TaoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaopeng SongMR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China.
Feng Xiao *Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Haibo Xu *Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lenticulostriate artery (LSA) arteriosclerosis is a key pathological basis for cerebrovascular diseases including stroke and cerebral small vessel disease. However, the comprehensive visualization and the meticulous quantitative analysis of the entire spectrum of LSA branches remain an ongoing clinical challenge. This study aimed to explore the efficacy of LSA branch detection using ultra-high field clinical 5.0 Tesla (T) magnetic resonance imaging (MRI) with 3D time-of-flight (TOF) magnetic resonance angiography (MRA) and to introduce a hierarchic categorization method for better LSA branching pattern analysis. Methods: A total of 12 participants were included and scanned using 5.0T and 3.0T TOF-MRA. First, an LSA hierarchic analysis method that categorized the LSA into three levels was proposed. Morphological parameters and signal-to-noise ratio/contrast-to-noise ratio (SNR/CNR) were calculated separately at each level. Then, the LSA imaging quality was compared between 5.0T and 3.0T TOF-MRA, utilizing the hierarchic analysis method. Next, the resolution setting in 5.0T TOF-MRA was optimized for better LSA imaging. Finally, the patient with left cerebral infarction underwent a 4-month follow-up examination using 5.0T TOF-MRA to validate the clinical utility of the 5.0T TOF-MRA and the proposed hierarchic analysis method. Results: The LSA imaging quality on 5.0T is significantly better than that of 3.0T in different levels of the LSA branches both in the numbers and lengths (P<0.05). Critically, LSA tertiary branches which were commonly delineated in the 5.0T TOF-MRA images were barely visible in the 3.0T images; furthermore, at the origin of LSA branches, 5.0T TOF-MRA showed notably superior visualization in comparison to the 3.0T (P<0.001). The clinical application studies showed the advantageous prospects of the proposed quantitative analysis method for LSA-related research at 5.0T. Conclusions: The visibility in the branching of LSA with 5.0T TOF-MRA is superior to that of 3.0T, especially at the origination from the middle cerebral artery (MCA) and the periphery of its branches. With the implementation of the proposed hierarchic analysis method for LSA, 5.0T TOF-MRA could be a valuable instrument for identifying subtle changes in LSA associated with various cerebrovascular-related diseases.

Indexed as

5.0 Tesla (5.0T)Lenticulostriate vascular diseasesmagnetic resonance angiography (MRA)magnetic resonance imaging (MRI)

Identifiers

PMID40160666
PMCPMC11948410

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