Can flat-detector CT after successful endovascular treatment predict long-term outcome in patients with large vessel occlusion? An Alberta Stroke Programme Early CT Score–based study

Knott M, Hölter P, Hock S, Mühlen I, Gerner S, Sprügel M, Huttner H, Schwab S, Engelhorn T, Dörfler A (2022)

Publication Type: Journal article, Review article

Publication year: 2022

Journal

Neurological Sciences Springer Verlag (Germany)

Abstract

Purpose: Recent studies postulate a high prognostic value of the Alberta Stroke Programme Early CT Score (ASPECTS) applied on non-contrast whole-brain flat-detector CT (FDCT) after successful endovascular treatment (EVT). The aim of this study was the evaluation of long-term patient outcome after endovascular treatment using postinterventional FDCT. Methods: Using a local database (Stroke Research Consortium in Northern Bavaria, STAMINA), 517 patients with successful endovascular treatment (modified Thrombolysis in Cerebral Infarction (mTICI) ≥ 2B) due to acute ischaemic stroke (AIS) and large vessel occlusion (LVO) of the anterior circulation were recruited retrospectively. In all cases, non-contrast FDCT after EVT was analysed with special focus at ASPECTS. These results were correlated with the functional outcome in long-term (modified Rankin Scale (mRS) shift from pre-stroke to 90 days after discharge). Results: A significant difference in FDCT-ASPECTS compared to the subgroup of favourable vs. unfavourable outcome (Δ mRS) (median ASPECTS 10 (10–9) vs. median ASPECTS 9 (10–7); p = 0,001) could be demonstrated. Multivariable regression analysis revealed FDCT-ASPECTS (OR 0.234, 95% CI − 0.102–0.008, p = 0.022) along with the NHISS at admission (OR 0.169, 95% CI 0.003–0.018, p = 0.008) as independent factors for a favourable outcome. Cut-off point for a favourable outcome (Δ mRS) was identified at an ASPECTS ≥ 8 (sensitivity 90.6%, specificity 35%). Conclusion: For patients with LVO and successful EVT, FDCT-ASPECTS was found to be highly reliable in predicting long-term outcome.

Authors with CRIS profile

Michael Knott Department of Neuroradiology Philip Hölter Department of Neuroradiology Stefan Hock Department of Neuroradiology Iris Mühlen Department of Neuroradiology Stefan Gerner Department of Psychiatry and Psychotherapy Maximilian Sprügel Department of Neurology Hagen Huttner Medizinische Fakultät Stefan Schwab Lehrstuhl für Neurologie Tobias Martin Engelhorn Department of Neuroradiology Arnd Dörfler Department of Neuroradiology

How to cite

APA:

Knott, M., Hölter, P., Hock, S., Mühlen, I., Gerner, S., Sprügel, M.,... Dörfler, A. (2022). Can flat-detector CT after successful endovascular treatment predict long-term outcome in patients with large vessel occlusion? An Alberta Stroke Programme Early CT Score–based study. Neurological Sciences. https://dx.doi.org/10.1007/s10072-022-06511-z

MLA:

Knott, Michael, et al. "Can flat-detector CT after successful endovascular treatment predict long-term outcome in patients with large vessel occlusion? An Alberta Stroke Programme Early CT Score–based study." Neurological Sciences (2022).

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