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Updated: Jul 14, 2025
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
Factors Associated With Fast Early Infarct Growth in Patients With Acute Ischemic Stroke With a Large Vessel
Pierre Seners1, Nicole Yuen2, Jean-Marc Olivot2
1From the Stanford Stroke Center (P.S., N.Y., M.M., S.C., G.W.A.), Palo Alto, CA; Neurology Department (P.S., M.O.), Hôpital Fondation A. de Rothschild; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM, Paris; Acute Stroke Unit (J.M.O., J.-F.A.), Hôpital Pierre-Paul Riquet, CHU Toulouse and CIC 1436, Toulouse University, INSERM, UPS, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; Neurology Department (J.B.E.P., E.C.), Geneva University Hospital, Switzerland; Stroke Center (D.S., P.M., A.S.), Neurology Service, Lausanne University Hospital and University of Lausanne, Switzerland; Neuroradiology Department (M.W., H.C.), MD Anderson Cancer Center, University of Texas, Houston; Neuroradiology Department (C.C.), Toulouse University Hospital; Stroke Unit (I.S., J.S.), Bordeaux University Hospital; and Radiology Department (M.G.L.), Hôpital Fondation A. de Rothschild, Paris, France. pierre.seners@gmail.com.
Background And Objectives:
The optimal methods for predicting early infarct growth rate (EIGR) in acute ischemic stroke with a large vessel occlusion (LVO) have not been established. We aimed to study the factors associated with EIGR, with a focus on the collateral circulation as assessed by the hypoperfusion intensity ratio (HIR) on perfusion imaging, and determine whether the associations found are consistent across imaging modalities.
Methods:
Retrospective multicenter international study including patients with anterior circulation LVO-related acute stroke with witnessed stroke onset and baseline perfusion imaging (MRI or CT) performed within 24 hours from symptom onset. To avoid selection bias, patients were selected from (1) the prospective registries of 4 comprehensive stroke centers with systematic use of perfusion imaging and including both thrombectomy-treated and untreated patients and (2) 1 prospective thrombectomy study where perfusion imaging was acquired per protocol, but treatment decisions were made blinded to the results. EIGR was defined as infarct volume on baseline imaging divided by onset-to-imaging time and fast progressors as EIGR ≥10 mL/h. The HIR, defined as the proportion of time-to-maximum (Tmax) >6 second with Tmax >10 second volume, was measured on perfusion imaging using RAPID software. The factors independently associated with fast progression were studied using multivariable logistic regression models, with separate analyses for CT- and MRI-assessed patients.
Results:
Overall, 1,127 patients were included (CT, n = 471; MRI, n = 656). Median age was 74 years (interquartile range [IQR] 62-83), 52% were male, median NIH Stroke Scale was 16 (IQR 9-21), median HIR was 0.42 (IQR 0.26-0.58), and 415 (37%) were fast progressors. The HIR was the primary factor associated with fast progression, with very similar results across imaging modalities: The proportion of fast progressors was 4% in the first HIR quartile (i.e., excellent collaterals), ∼15% in the second, ∼50% in the third, and ∼77% in the fourth (p < 0.001 for each imaging modality). Fast progression was independently associated with poor 3-month functional outcome in both the CT and MRI cohorts (p < 0.001 and p = 0.030, respectively).
Discussion:
The HIR is the primary factor associated with fast infarct progression, regardless of imaging modality. These results have implication for neuroprotection trial design, as well as informing triage decisions at primary stroke centers.
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