Bouslama, Mehdi

Background Basal ganglia infarcts are thought to carry worse clinical outcomes compared with other infarct patterns. We aimed to investigate whether pretreatment topographic infarct patterns including complete basal ganglia involvement versus other infarct patterns help predict mechanical thrombectomy outcomes. Methods This was a review of a prospectively collected database of consecutive mechanical thrombectomy patients with anterior circulation large vessel occlusion strokes between January 2014 and November 2018. Patients were categorized into the following 2 groups: (1) total basal ganglia (TBG) strokes defined as infarcts affecting both the caudate and lentiform nuclei regardless of cortical involvement and (2) other infarct patterns. Infarct location was assessed on preprocedure noncontrast computed tomography using an automated software (e‐ASPECTS). Baseline characteristics and outcome measures were compared. Results A total of 1011 patients were analyzed of which 234 (23.12%) had TBG strokes. Patients with TBG strokes were younger ( P =0.01); had higher National Institutes of Health Stroke Scale (NIHSS) ( P =0.006), lower e‐ASPECTS ( P <0.001), and lower systolic blood pressure ( P =0.024); and had diabetes less often ( P =0.01). Baseline characteristics were otherwise comparable between groups. Involvement of the caudate or lentiform nucleus alone was observed in 237 (30.5%) and 21 (2.7%) patients, respectively, in the other infarct patterns group. No internal capsule involvement was detected in either group. There were no differences in terms of 90‐day functional outcomes whether dichotomized (modified Rankin Scale score≤2: TBG=44.6% versus other=50.1%; P =0.14) or looking at the entire spectrum of the scale (shift analysis; P =0.74). However, TBG strokes had significantly higher rates of any parenchymal hematomas (15.4% versus 8.2%; P =0.001), an association that held true in multivariable analysis (adjusted odds ratio, 2.57 [95% CI, 1.41–4.62]; P =0.002). Conclusions Despite increased rates of hemorrhagic transformation, ganglionic infarcts carry similar functional outcomes after mechanical thrombectomy compared with other stroke patterns.

Background and Purpose: The hypoperfusion intensity ratio (HIR) is a perfusion-weighted imaging parameter defined as the ratio of Tmax>10 seconds : Tmax>6 seconds volume and is believed to be reflective of collateral strength and consequently influence infarct growth. We sought to assess the utility of the HIR in predicting infarct growth in patients undergoing thrombectomy at a comprehensive stroke center (CSC). Methods: Consecutive acute ischemic stroke patients transferred to our CSC from 09/2010-11/2018 were identified and included if the following criteria were met: 1)computed tomography perfusion (CTP) imaging enabling assessment of baseline ischemic core volume and HIR 2) follow-up neuroimaging for assessment of final infarct volumes and 3)modified Thrombolysis In Cerebral Infarction scale (mTICI) 2c status or greater post-thrombectomy. Infarct growth rate (IGR) was calculated as the difference between infarct volume on follow-up imaging and the acute DWI lesion volume, divided by time from CTP to reperfusion in hours. Results: 461 patients (median age, 64 [55-75] years, median baseline NIHSS, 16 [12-21]) were eligible for this analysis. HIR poorly correlated with IGR (Spearman’s rho=0.001, p=0.89). An HIR cut-off of 0.5 was not able to discriminate ‘fast progressors’ (IGR>5 mL/hr) (AUC 0.42, sensitivity 40%, specificity 51%), or IGR at thresholds of either 2.5 or 10 mL/hr (AUC 0.44 and 0.49 respectively, with 95% confidence intervals [0.35-0.52] and [0.41-0.57], respectively). Similarly, an HIR of 0.5 only weakly distinguished ‘fast progression’ in patients reperfused beyond 120 min from imaging and patients with early CTP (last known well to CTP<6 hrs) (AUC 0.59, sensitivity 43%, specificity 68% and AUC 0.50, sensitivity 45%, specificity 55%). On multiple regression analysis, HIR was not predictive of infarct growth (regression equation=18.09+8.48x, F=2.46, p=0.11, R 2 =0.13) but was predictive of ‘fast progression’ (OR 0.22, 95% CI [0.09-0.60], p=0.003, pseudo-R 2 =0.16). Conclusions: Though predictive of fast progression, the HIR is a poor discriminator of infarct growth in successfully reperfused thrombectomy patients who undergo perfusion imaging at a CSC, and thus should not be factored into treatment decision-making.