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1.
Clin Neuroradiol ; 29(3): 553, 2019 09.
Article in English | MEDLINE | ID: mdl-31161342

ABSTRACT

Correction to: Clin Neuroradiol 2018 https://doi.org/10.1007/s00062-018-0717-x Unfortunately, the author list of the original version of this article contains a mistake. The middle name of the author "Rani Gupta Sah" was erroneously tagged as part of the surname in the article's metadata.This mistake.

2.
Clin Neuroradiol ; 29(3): 543-552, 2019 09.
Article in English | MEDLINE | ID: mdl-30132089

ABSTRACT

PURPOSE: Acute stroke treatment requires simple, quick and accurate detection of early ischemic changes to facilitate treatment decisions guided by published selection criteria. The aim of this study was to determine the accuracy and reliability of multiphase computed tomography angiography (mCTA) perfusion hypoattenuation for detecting early severe ischemia. METHODS: Non-contrast CT (NCCT), mCTA for regional leptomeningeal score (mCTA-rLMC), and mCTA perfusion lesion visibility (mCTA-arterial and mCTA-venous) were assessed blinded to clinical information in patients treated with endovascular therapy (EVT). The extent of early ischemia defined by regions of hypoattenuation was evaluated by the Alberta Stroke Program Early CT Score (ASPECTS). The ASPECTS scores were dichotomized based on the American Heart Association (AHA) guidelines for EVT selection, ASPECTS ≥6 vs. <6. The diagnostic accuracy was calculated by comparison to 24-h magnetic resonance imaging (MRI) or CT ASPECTS. Inter-observer reliability of NCCT and mCTA ASPECTS was evaluated. Machine learning models were used to predict the clinical follow-up outcome, e.g. National Institutes of Health Stroke scale (NIHSS) and modified Rankin scale (mRS) from baseline imaging data and patient information. RESULTS: A total of 89 acute stroke patients (68 ± 15 years of age) were analyzed (33 TICI-0, 56 TICI-2b or 3). Median baseline NIHSS was 17. The mCTA-venous had a large effect on accurately identifying early ischemia when dichotomized for ASPECTS ≥6 vs <6 (likelihood ratio [LR+] > 10 vs. [LR-] < 0.29) compared to the moderate effect of NCCT ([LR+] = 6.7; [LR-] = 0.56) and mCTA-rLMC [(LR+ = 8.0; (LR-) = 0.83)]. The inter-observer reliability in mCTA-venous was almost perfect for all ASPECTS regions except the internal capsule. The machine learning support factor regression model identified mCTA-venous as the most important imaging covariate for predicting 24-h NIHSS and 90-day mRS. CONCLUSION: The assessment of mCTA-venous permits a more accurate detection of early ischemia than NCCT and mCTA-rLMC score and is predictive of clinical outcome. We would recommend the inclusion of mCTA perfusion lesion in future endovascular trials aiming at extending current AHA guidelines for EVT in stroke patients with low ASPECTS.


Subject(s)
Brain Ischemia/diagnostic imaging , Computed Tomography Angiography/methods , Stroke/diagnostic imaging , Acute Disease , Aged , Aged, 80 and over , Brain Ischemia/therapy , Endovascular Procedures , Female , Humans , Likelihood Functions , Machine Learning , Magnetic Resonance Imaging , Male , Observer Variation , Reproducibility of Results , Stroke/therapy
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