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