Angiographic and Hemodynamic Features in Asymptomatic Hemispheres of Patients With Moyamoya Disease

Haogeng Sun1, Wanjiang Li2, Chao Xia1,3

  • 1Department of Neurosurgery (H.S., C.X., Y.R., L.M., A.X., C.Y., Y.L., R.T.), West China Hospital, Sichuan University, Chengdu, China.

Stroke
|September 22, 2021
PubMed
Abstract

Insights

Moyamoya disease (MMD) asymptomatic hemispheres have distinct imaging and hemodynamic features. Understanding these differences is crucial for predicting pathological evolution and stroke risk in MMD patients.

Area of Science:

  • Neurology
  • Radiology
  • Vascular Neurology

Background:

  • Moyamoya disease (MMD) poses a stroke risk even in asymptomatic brain regions.
  • The characteristics of these asymptomatic hemispheres are often overlooked.
  • This study focuses on differentiating MMD hemisphere types and their clinical implications.

Purpose of the Study:

  • To investigate the distinct features of three types of asymptomatic hemispheres in MMD.
  • To explore the association between asymptomatic and symptomatic hemispheres in MMD.
  • To enhance understanding of stroke risk in MMD patients.

Main Methods:

  • Retrospective analysis of clinical and imaging data from 194 MMD patients.
  • Categorization of MMD hemispheres into five types based on clinical presentation and imaging.
  • Assessment of angiographic features using Suzuki's stage and hemodynamic status via preinfarction period stage.

Main Results:

  • Asymptomatic hemispheres in unilateral hemorrhagic MMD resemble hemorrhagic hemispheres, showing advanced Suzuki stage and less hemodynamic compromise.
  • Asymptomatic hemispheres in unilateral ischemic MMD are similar to ischemic hemispheres, with less advanced Suzuki stage and greater hemodynamic compromise.
  • Bilateral asymptomatic hemispheres in MMD exhibit unique features, with less advanced Suzuki stage and lower hemodynamic compromise compared to other types.

Conclusions:

  • Three types of asymptomatic MMD hemispheres possess unique angiographic and hemodynamic profiles.
  • The combination of these features can indicate the potential pathological progression.
  • This classification aids in understanding stroke risk and disease evolution in MMD.