The Correlations of Clinical Outcomes and Vascular Morphology With Infarct Patterns in Middle Cerebral Arterial

ZhiRong Cai1, Yuan Chen2, ShaoQing Pei2

  • 1Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.

Brain and Behavior
|January 28, 2026
PubMed

Insights

Large infarct and borderzone infarct (BZI) in M1-intracranial atherosclerotic disease-large vessel occlusion (ICAD-LVO) strokes lead to poorer outcomes. Elevated M1 segment tortuosity is linked to BZI, while a thin, short M1 segment correlates with large infarct.

Area of Science:

  • Neuroscience
  • Neurology
  • Radiology

Background:

  • Ischemic stroke due to intracranial atherosclerotic disease (ICAD) with large vessel occlusion (LVO) in the M1 segment presents diverse infarct patterns.
  • Understanding these patterns and their association with arterial morphology is crucial for predicting clinical outcomes.

Purpose of the Study:

  • To compare clinical outcomes across different infarct patterns in M1-ICAD-LVO.
  • To investigate the relationship between contralateral M1 segment morphology and infarct patterns.

Main Methods:

  • Patients with M1-ICAD-LVO were categorized by infarct pattern: artery-to-artery embolism (AAE), large infarct, borderzone infarct (BZI), and perforating artery infarction (PAI).
  • Morphological parameters of the contralateral M1 segment (cMCA-M1), including diameter, arc, and chord length, were measured.
  • The tortuosity index of the cMCA-M1 segment was calculated.

Main Results:

  • Large infarct and BZI were associated with significantly poorer outcomes compared to AAE.
  • Elevated tortuosity index and arc length of the cMCA-M1 segment were linked to BZI.
  • A thinner and shorter cMCA-M1 segment, with less tortuosity, correlated with large infarct.

Conclusions:

  • Infarct patterns in M1-ICAD-LVO significantly impact clinical outcomes, with large infarct and BZI being particularly unfavorable.
  • Contralateral M1 segment morphology, specifically tortuosity and dimensions, serves as a potential imaging biomarker for predicting infarct patterns and outcomes.
Abstract

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