Computed tomography perfusion deficit volume predicts the functional outcome of endovascular therapy for basilar

Yiying Pan1, Pengjun Chen1, Shunyang Chen1

  • 1Zhejiang Provincial Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Hospital of Zhejiang University, Lishui, 323000, PR China.

Insights

Computed tomography perfusion deficit volumes predict functional outcomes in basilar artery occlusion (BAO) patients after endovascular therapy. Larger deficits correlate with poorer outcomes, aiding risk assessment.

Area of Science:

  • Neuroimaging
  • Neurology
  • Interventional Radiology

Background:

  • Basilar artery occlusion (BAO) is a severe condition with high rates of disability and mortality.
  • Endovascular therapy has emerged as a crucial treatment for BAO.
  • Predicting functional outcomes is essential for guiding treatment decisions and patient management.

Purpose of the Study:

  • To evaluate the association between baseline computed tomography (CT) perfusion deficit volumes and functional outcomes in BAO patients.
  • To identify CT perfusion parameters that can predict good functional outcomes after endovascular therapy.

Main Methods:

  • Retrospective analysis of 64 BAO patients who underwent endovascular therapy.
  • Multi-modal CT on admission, including perfusion imaging.
  • Assessment of ischemic changes using the posterior-circulation Acute Stroke Prognosis Early CT Score.
  • Quantification of perfusion deficit volumes using Syngo.via software.
  • Primary outcome: good functional outcome defined as modified Rankin Scale score ≤ 3 at 90 days.
  • Logistic regression and ROC curve analysis to identify predictors.

Main Results:

  • 26 (41%) patients achieved good functional outcomes; 38 (59%) had poor outcomes.
  • Tmax > 10s, Tmax > 6s, and reduced cerebral blood flow (rCBF) < 30% volumes were independent predictors of good functional outcomes.
  • Receiver operating characteristic (ROC) curve analysis showed strong prognostic value (AUCs: 0.85, 0.81, 0.78).

Conclusions:

  • CT perfusion deficit volumes are valuable for predicting functional outcomes in BAO patients post-endovascular treatment.
  • These imaging metrics help identify patients at high risk of disability and mortality.
  • CT perfusion imaging can aid in optimizing treatment strategies for BAO.
Abstract