[Neuroimaging characteristics of cryptogenic stroke with and without patent foramen ovale]

H Q Liu1, L Liu, W L Mei

  • 1Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.

Zhonghua Yi Xue Za Zhi
|September 18, 2018
PubMed

Insights

Patent foramen ovale (PFO) in cryptogenic stroke patients is linked to specific neuroimaging findings. Posterior cerebral artery infarcts, silent strokes, and high Risk of Paradoxical Embolism (RoPE) scores predict PFO presence.

Area of Science:

  • Neurology
  • Radiology
  • Cardiology

Background:

  • Cryptogenic stroke, stroke of unknown origin, often necessitates investigation into potential causes.
  • Patent foramen ovale (PFO) is a common cardiac anomaly implicated in cryptogenic stroke.
  • Understanding neuroimaging markers associated with PFO can aid in diagnosis and risk stratification.

Purpose of the Study:

  • To identify neuroimaging characteristics associated with patent foramen ovale (PFO) in patients diagnosed with cryptogenic stroke.
  • To explore independent predictors for the presence of PFO in this patient cohort.

Main Methods:

  • Retrospective collection of clinical and imaging data from cryptogenic stroke patients with and without PFO.
  • Comparison of lesion patterns and vascular territories between PFO-positive and PFO-negative groups.
  • Multivariate logistic regression analysis to determine independent predictors of PFO.

Main Results:

  • Patients with PFO exhibited a higher prevalence of migraine and elevated Risk of Paradoxical Embolism (RoPE) scores.
  • Neuroimaging revealed a higher frequency of multiple lesions across different circulatory systems and posterior cerebral artery territory infarcts in the PFO group.
  • Old silent stroke lesions were more common in patients with PFO.

Conclusions:

  • Multiple lesions in multicirculatory patterns and posterior circulation involvement are key neuroimaging indicators of PFO in cryptogenic stroke.
  • Infarction in the posterior cerebral artery region, presence of silent stroke lesions, and high RoPE scores are significant independent predictors for identifying PFO.

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