Association of clinical outcome and imaging endpoints in extensive ischemic stroke-comparing measures of cerebral edema.

Brain edema Ischemia Midline shift Net water uptake Stroke

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
16 Apr 2024
Historique:
received: 31 10 2023
accepted: 17 02 2024
revised: 31 01 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 16 4 2024
Statut: aheadofprint

Résumé

Ischemic edema is associated with worse clinical outcomes, especially in large infarcts. Computed tomography (CT)-based densitometry allows direct quantification of absolute edema volume (EV), which challenges indirect biomarkers like midline shift (MLS). We compared EV and MLS as imaging biomarkers of ischemic edema and predictors of malignant infarction (MI) and very poor clinical outcome (VPCO) in early follow-up CT of patients with large infarcts. Patients with anterior circulation stroke, large vessel occlusion, and Alberta Stroke Program Early CT Score (ASPECTS) ≤ 5 were included. VPCO was defined as modified Rankin scale (mRS) ≥ 5 at discharge. MLS and EV were quantified at admission and in follow-up CT 24 h after admission. Correlation was analyzed between MLS, EV, and total infarct volume (TIV). Multivariable logistic regression and receiver operating characteristics curve analyses were performed to compare MLS and EV as predictors of MI and VPCO. Seventy patients (median TIV 110 mL) were analyzed. EV showed strong correlation to TIV (r = 0.91, p < 0.001) and good diagnostic accuracy to classify MI (EV AUC 0.74 [95%CI 0.61-0.88] vs. MLS AUC 0.82 [95%CI 0.71-0.94]; p = 0.48) and VPCO (EV AUC 0.72 [95%CI 0.60-0.84] vs. MLS AUC 0.69 [95%CI 0.57-0.81]; p = 0.5) with no significant difference compared to MLS, which did not correlate with TIV < 110 mL (r = 0.17, p = 0.33). EV might serve as an imaging biomarker of ischemic edema in future studies, as it is applicable to infarcts of all volumes and predicts MI and VPCO in patients with large infarcts with the same accuracy as MLS. Utilization of edema volume instead of midline shift as an edema parameter would allow differentiation of patients with large and small infarcts based on the extent of edema, with possible advantages in the prediction of treatment effects, complications, and outcome. • CT densitometry-based absolute edema volume challenges midline shift as current gold standard measure of ischemic edema. • Edema volume predicts malignant infarction and poor clinical outcome in patients with large infarcts with similar accuracy compared to MLS irrespective of the lesion extent. • Edema volume might serve as a reliable quantitative imaging biomarker of ischemic edema in acute stroke triage independent of lesion size.

Identifiants

pubmed: 38627288
doi: 10.1007/s00330-024-10694-8
pii: 10.1007/s00330-024-10694-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Vincent Geest (V)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany. v.geest@uke.de.

Paul Steffen (P)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Laurens Winkelmeier (L)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Tobias D Faizy (TD)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Christian Heitkamp (C)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Helge Kniep (H)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Lukas Meyer (L)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Kamil Zelenak (K)

Department of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia.

Thomalla Götz (T)

Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Jens Fiehler (J)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Gabriel Broocks (G)

Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.

Classifications MeSH