Predictive value of CT perfusion-derived parameters in Moyamoya disease

Anming Xie1, Liuxian Wang1, Peiji Song2

  • 1Department of Radiology, The 908th Hospital of Chinese People's Liberation Army Joint Logistics Support Force, Nanchang, Jiangxi 330002, China.

Insights

The collateral index of the hypointensity ratio (HIR) effectively predicts outcomes in Moyamoya disease (MMD) patients. This CT perfusion parameter shows strong correlation with functional and clinical status, aiding in patient management.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Moyamoya disease (MMD) is a rare cerebrovascular disorder characterized by progressive stenosis of intracranial arteries.
  • Predicting functional and clinical outcomes in untreated MMD patients is crucial for management.
  • CT perfusion (CTP) imaging offers insights into cerebral hemodynamics.

Purpose of the Study:

  • To evaluate the utility of CTP-derived parameters and collateral index in predicting outcomes for surgically untreated MMD patients.
  • To assess the correlation between hemodynamic parameters and clinical outcomes (survival, mRS, ADL).

Main Methods:

  • Retrospective analysis of 21 MMD patients (36 hemispheres) with CTP data.
  • Hemispheres categorized into ischemic (IS), hemorrhagic (HE), subarachnoid hemorrhage (SAH), and normal (NH) groups.
  • Calculation of CTP parameters and collateral index (hypointensity ratio - HIR).

Main Results:

  • Ischemic hemispheres exhibited significantly abnormal hemodynamics compared to normal hemispheres.
  • The collateral index (HIR) demonstrated excellent predictive capability for primary outcomes (AUC=0.955).
  • HIR showed significant correlations with modified Rankin Scale (mRS) and ADL scores.

Conclusions:

  • CTP-derived hemodynamic parameters clearly differentiate IS hemispheres in MMD.
  • The collateral index (HIR) is a promising, clinically accessible indicator for functional and clinical outcomes in MMD.
Abstract