A Novel Dual-Energy CT Method for Detection and Differentiation of Intracerebral Hemorrhage From Contrast Extravasation in Stroke Patients After Endovascular Thrombectomy : Feasibility and First Results.


Journal

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

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 14 11 2021
accepted: 07 07 2022
pubmed: 13 8 2022
medline: 17 3 2023
entrez: 12 8 2022
Statut: ppublish

Résumé

Dual-energy computed tomography (DECT) has been shown to be able to differentiate between intracranial hemorrhage (ICH) and extravasation of iodinated contrast media (contrast staining [CS]). TwinSpiral DECT is a recently introduced technique, which allows image acquisition at two different energy levels in two consecutive spiral scans. The aim of this study was to evaluate the feasibility and accuracy of TwinSpiral DECT to distinguish between ICH and CS after endovascular thrombectomy (EVT) in patients with acute ischemic stroke. This retrospective single-center study conducted between November 2019 and July 2020 included non-contrast TwinSpiral DECT scans (tube voltages 80 and 150Sn kVp) of 39 ischemic stroke patients (18 females, 21 males, mean age 69 ± 11 years) within 48-72 h after endovascular thrombectomy. Parenchymal hyperdensity was assessed for the presence of ICH or/and CS by two board certified and fellowship-trained, blinded and independent neuroradiologists using standard mixed images and virtual non-contrast (VNC) images with corresponding iodine maps from TwinSpiral DECT. Follow-up examinations (FU; CT or MRI) were used as a standard of reference. Sensitivity, specificity, and accuracy for the detection of ICH as well as the inter-reader agreement were calculated. Parenchymal hyperdensities were detected in 17/39 (44%) patients. Using DECT, they were classified by both readers as ICH in 9 (53%), CS in 8 (47%), and mixture of both in 6 (35%) cases with excellent agreement (κ = 0.81, P < 0.0001). The sensitivity, specificity, and accuracy for the detection of ICH in DECT was 90% (95% confidence interval [CI]: 84-96%), 100% (95% CI 94-100%) and 95% (95% CI 89-100%), and in mixed images 90% (95% CI 84-96%), 86% (95% CI 80-92%) and 88% (95% CI 82-94%), respectively. Inter-reader agreement for detecting ICH on DECT compared to the mixed images was κ = 1.00 (P < 0.0001) vs. κ = 0.51 (P = 0.034). TwinSpiral DECT demonstrates high accuracy and excellent specificity for differentiating ICH from CS in patients after mechanical thrombectomy due to acute ischemic stroke, and improves inter-reader agreement for detecting ICH compared to the standard mixed images.

Identifiants

pubmed: 35960327
doi: 10.1007/s00062-022-01198-3
pii: 10.1007/s00062-022-01198-3
pmc: PMC10014653
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171-177

Informations de copyright

© 2022. The Author(s).

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Auteurs

Risto Grkovski (R)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Faculty of Medicine, University Of Ljubljana, Ljubljana, Slovenia.
Department of Radiology, University Medical Centre Maribor, Maribor, Slovenia.

Leyla Acu (L)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Uzeyir Ahmadli (U)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Robert Terziev (R)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Department of Neurology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Tilman Schubert (T)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Susanne Wegener (S)

Department of Neurology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Zsolt Kulcsar (Z)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Shakir Husain (S)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Hatem Alkadhi (H)

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Sebastian Winklhofer (S)

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Sebastian.winklhofer@usz.ch.

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