Validity of acute stroke lesion volume estimation by diffusion-weighted imaging-Alberta Stroke Program Early Computed Tomographic Score depends on lesion location in 496 patients with middle cerebral artery stroke

Julian Schröder, Bastian Cheng, Martin Ebinger, Martin Köhrmann, Ona Wu, Dong-Wha Kang, David S Liebeskind, Thomas Tourdias, Oliver C Singer, Soren Christensen, Bruce Campbell, Marie Luby, Steven Warach, Jens Fiehler, Jochen B Fiebach, Christian Gerloff, Götz Thomalla, STIR and VISTA Imaging Investigators, Steven Warach, Gregory Albers, Stephen Davis, Geoffrey Donnan, Marc Fisher, Anthony Furlan, James Grotta, Werner Hacke, Dong-Wha Kang, Chelsea Kidwell, Walter Koroshetz, Kennedy R Lees, Michael Lev, David S Liebeskind, A Gregory Sorensen, Vincent Thijs, Gotz Thomalla, Joanna Wardlaw, Max Wintermark, Bastian Cheng, Martin Ebinger, Qing Hao, Thomas Tourdias, Ona Wu, Jong S Kim, Lorenz Breuer, Oliver C Singer, Marie Luby, Steven Warach, Soren Christensen, Andras Treszl, Nils D Forkert, Ivana Galinovic, Michael Rosenkranz, Tobias Engelhorn, Martin Köhrmann, Matthias Endres, Dong-Wha Kang, Vincent Dousset, A Gregory Sorensen, David S Liebeskind, Jochen B Fiebach, Jens Fiehler, Christian Gerloff, Julian Schröder, Bastian Cheng, Martin Ebinger, Martin Köhrmann, Ona Wu, Dong-Wha Kang, David S Liebeskind, Thomas Tourdias, Oliver C Singer, Soren Christensen, Bruce Campbell, Marie Luby, Steven Warach, Jens Fiehler, Jochen B Fiebach, Christian Gerloff, Götz Thomalla, STIR and VISTA Imaging Investigators, Steven Warach, Gregory Albers, Stephen Davis, Geoffrey Donnan, Marc Fisher, Anthony Furlan, James Grotta, Werner Hacke, Dong-Wha Kang, Chelsea Kidwell, Walter Koroshetz, Kennedy R Lees, Michael Lev, David S Liebeskind, A Gregory Sorensen, Vincent Thijs, Gotz Thomalla, Joanna Wardlaw, Max Wintermark, Bastian Cheng, Martin Ebinger, Qing Hao, Thomas Tourdias, Ona Wu, Jong S Kim, Lorenz Breuer, Oliver C Singer, Marie Luby, Steven Warach, Soren Christensen, Andras Treszl, Nils D Forkert, Ivana Galinovic, Michael Rosenkranz, Tobias Engelhorn, Martin Köhrmann, Matthias Endres, Dong-Wha Kang, Vincent Dousset, A Gregory Sorensen, David S Liebeskind, Jochen B Fiebach, Jens Fiehler, Christian Gerloff

Abstract

Background and purpose: Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) has been used to estimate diffusion-weighted imaging (DWI) lesion volume in acute stroke. We aimed to assess correlations of DWI-ASPECTS with lesion volume in different middle cerebral artery (MCA) subregions and reproduce existing ASPECTS thresholds of a malignant profile defined by lesion volume ≥100 mL.

Methods: We analyzed data of patients with MCA stroke from a prospective observational study of DWI and fluid-attenuated inversion recovery in acute stroke. DWI-ASPECTS and lesion volume were calculated. The population was divided into subgroups based on lesion localization (superficial MCA territory, deep MCA territory, or both). Correlation of ASPECTS and infarct volume was calculated, and receiver-operating characteristics curve analysis was performed to identify the optimal ASPECTS threshold for ≥100-mL lesion volume.

Results: A total of 496 patients were included. There was a significant negative correlation between ASPECTS and DWI lesion volume (r=-0.78; P<0.0001). With regards to lesion localization, correlation was weaker in deep MCA region (r=-0.19; P=0.038) when compared with superficial (r=-0.72; P<0.001) or combined superficial and deep MCA lesions (r=-0.72; P<0.001). Receiver-operating characteristics analysis revealed ASPECTS≤6 as best cutoff to identify ≥100-mL DWI lesion volume; however, positive predictive value was low (0.35).

Conclusions: ASPECTS has limitations when lesion location is not considered. Identification of patients with malignant profile by DWI-ASPECTS may be unreliable. ASPECTS may be a useful tool for the evaluation of noncontrast computed tomography. However, if MRI is used, ASPECTS seems dispensable because lesion volume can easily be quantified on DWI maps.

Keywords: brain ischemia; diffusion magnetic resonance imaging; magnetic resonance imaging; middle cerebral artery; neuroimaging; severity of illness index; stroke.

© 2014 American Heart Association, Inc.

Figures

Figure 1
Figure 1
Distribution of diffusion-weighted imaging (DWI) Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) values across 496 patients.
Figure 2
Figure 2
Scatterplot of diffusion-weighted imaging (DWI) lesion volume per Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) value in all middle cerebral artery (MCA) strokes and different subgroups. A, For all analyzed MCA strokes; (B), superficial MCA territory involved; (C), deep MCA territory involved; and (D), superficial and deep MCA territory involved.
Figure 3
Figure 3
Receiver-operating characteristics curve to determine an Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) value for optimal detection of a diffusion-weighted imaging lesion volume >100 mL; ASPECTS≤6 is identified as optimal threshold (arrow); area under the curve is 0.938 with a 95% confidence interval of 0.891 to 0.985.

Source: PubMed

3
Se inscrever