UMMS Affiliation

Department of Neurology; Millennium PhD Program, Graduate School of Biomedical Sciences

Publication Date


Document Type



Nervous System Diseases | Neurology


BACKGROUND: Although it is generally thought that patients with distal middle cerebral artery (M2) occlusion have a favorable outcome, it has previously been demonstrated that a substantial minority will have a poor outcome by 90 days. We sought to determine whether assessing the Alberta Stroke Program Early CT Score (ASPECTS) infarct location allows for identifying patients at risk for a poor 90-day outcome.

METHODS: We retrospectively analyzed patients with isolated acute M2 occlusion admitted to a single academic center between January 2010 and August 2012. Infarct regions were defined according to ASPECTS system on the initial head computed tomography. Discriminant function analysis was used to define specific ASPECTS regions that are predictive of the 90-day functional outcome as defined as a modified Rankin Scale score of 3-6. In addition, logistic regression was used to model the relationship between each individual ASPECT region with poor outcome; for evaluation and comparison, odds ratios, c-statistics, and Akaike information criterion values were estimated for each region.

RESULTS: Ninety patients with isolated M2 were included in the final analysis. ASPECTS score

CONCLUSION: Infarction in ASPECTS regions M3 and M6 are key predictors of functional outcome following isolated distal M2 occlusion. These findings will be helpful in stratifying outcomes if validated in future studies.


Alberta Stroke Program Early CT Score, M2 occlusions, outcome, stroke, thrombolysis

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Copyright: © 2017 Khan, Baird, Goddeau, Silver and Henninger.

DOI of Published Version



Front Neurol. 2017 Mar 14;8:98. doi: 10.3389/fneur.2017.00098. eCollection 2017. Link to article on publisher's site

Journal/Book/Conference Title

Frontiers in neurology


Co-author Nils Henninger is a doctoral student in the Millennium PhD Program (MPP) in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.

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Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.