Acute Stroke: Prognostic Value of Quantitative Collateral Assessment at Perfusion CT

Feina Shi1, Xiaoxian Gong1, Chang Liu1

  • 1From the Departments of Neurology (F.S., X.G., C.L., M.Z., Z.C., S.Y., M.L.) and Neurosurgery (Q.Z.), the Second Affiliated Hospital of Zhejiang University, School of Medicine, 88 Jiefang Road, Hangzhou, China 310009; and Zhejiang University Brain Research Institute, Hangzhou, China (M.L.).

Radiology
|January 9, 2019
PubMed

Insights

Quantifying collateral blood flow in acute ischemic stroke patients using CT perfusion can predict outcomes. Higher collateral flow is linked to reduced risk of brain bleeds and better clinical results.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Acute ischemic stroke (AIS) is a major cause of disability.
  • Effective collateral circulation is crucial for mitigating stroke damage.
  • Predictive markers for AIS outcomes are needed.

Purpose of the Study:

  • To develop a quantitative CT perfusion assessment for collateral blood flow.
  • To evaluate the predictive value of this assessment for patient outcomes in AIS.
  • To investigate the association between collateral flow and hemorrhagic transformation.

Main Methods:

  • Retrospective analysis of 204 AIS patients with M1 MCA occlusion undergoing perfusion CT.
  • Calculation of maximum cerebral blood flow (CBF) in collateral vessels (cCBFmax) within the Sylvian fissure.
  • Multivariable logistic regression to assess the relationship between cCBFmax and outcomes (hemorrhagic transformation, 90-day mRS).

Main Results:

  • Higher cCBFmax was an independent predictor of a lower risk of hemorrhagic transformation (OR, 0.99; P = .009).
  • Higher cCBFmax was independently associated with better clinical outcomes (OR, 1.02; P = .001).
  • Adjustments were made for NIHSS, thrombectomy, infarct core volume, and recanalization.

Conclusions:

  • Quantitative assessment of collateral blood flow using cCBFmax at perfusion CT is feasible.
  • cCBFmax is a valuable predictor of clinical outcome in AIS patients.
  • This quantitative measure aids in understanding collateral function's role in stroke recovery.

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