Accuracy and Prognostic Role of NCCT-ASPECTS Depend on Time from Acute Stroke Symptom-onset for both Human and Machine-learning Based Evaluation.


Journal

Clinical neuroradiology
ISSN: 1869-1447
Titre abrégé: Clin Neuroradiol
Pays: Germany
ID NLM: 101526693

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 28 06 2021
accepted: 04 10 2021
pubmed: 29 10 2021
medline: 8 3 2022
entrez: 28 10 2021
Statut: ppublish

Résumé

We hypothesize that the detectability of early ischemic changes on non-contrast computed tomography (NCCT) is limited in hyperacute stroke for both human and machine-learning based evaluation. In short onset-time-to-imaging (OTI), the CT angiography collateral status may identify fast stroke progressors better than early ischemic changes quantified by ASPECTS. In this retrospective, monocenter study, CT angiography collaterals (Tan score) and ASPECTS on acute and follow-up NCCT were evaluated by two raters. Additionally, a machine-learning algorithm evaluated the ASPECTS scale on the NCCT (e-ASPECTS). In this study 136 patients from 03/2015 to 12/2019 with occlusion of the main segment of the middle cerebral artery, with a defined symptom-onset-time and successful mechanical thrombectomy (MT) (modified treatment in cerebral infarction score mTICI = 2c or 3) were evaluated. Agreement between acute and follow-up ASPECTS were found to depend on OTI for both human (Intraclass correlation coefficient, ICC = 0.43 for OTI < 100 min, ICC = 0.57 for OTI 100-200 min, ICC = 0.81 for OTI ≥ 200 min) and machine-learning based ASPECTS evaluation (ICC = 0.24 for OTI < 100 min, ICC = 0.61 for OTI 100-200 min, ICC = 0.63 for OTI ≥ 200 min). The same applied to the interrater reliability. Collaterals were predictors of a favorable clinical outcome especially in hyperacute stroke with OTI < 100 min (collaterals: OR = 5.67 CI = 2.38-17.8, p < 0.001; ASPECTS: OR = 1.44, CI = 0.91-2.65, p = 0.15) while ASPECTS was in prolonged OTI ≥ 200 min (collaterals OR = 4.21,CI = 1.36-21.9, p = 0.03; ASPECTS: OR = 2.85, CI = 1.46-7.46, p = 0.01). The accuracy and reliability of NCCT-ASPECTS are time dependent for both human and machine-learning based evaluation, indicating reduced detectability of fast stroke progressors by NCCT. In hyperacute stroke, collateral status from CT-angiography may help for a better prognosis on clinical outcome and explain the occurrence of futile recanalization.

Identifiants

pubmed: 34709408
doi: 10.1007/s00062-021-01110-5
pii: 10.1007/s00062-021-01110-5
pmc: PMC8894298
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133-140

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021. The Author(s).

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Auteurs

A Potreck (A)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

C S Weyland (CS)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

F Seker (F)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

U Neuberger (U)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

C Herweh (C)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

A Hoffmann (A)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Institute of Diagnostic and Interventional Neuroradiology, Inselspital Bern University Hospital, Bern, Switzerland.

S Nagel (S)

Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.

M Bendszus (M)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

M A Mutke (MA)

Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. Matthias.Mutke@med.uni-heidelberg.de.

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