Ontology highlight
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 LS
SUBMITTER: Mei H
PROVIDER: S-EPMC11948410 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature