Differentiation of hemorrhage from contrast enhancement using dual-layer spectral CT in patients transferred for acute stroke.


Journal

Clinical imaging
ISSN: 1873-4499
Titre abrégé: Clin Imaging
Pays: United States
ID NLM: 8911831

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 22 04 2020
revised: 03 06 2020
accepted: 26 06 2020
pubmed: 20 7 2020
medline: 15 12 2020
entrez: 20 7 2020
Statut: ppublish

Résumé

Acute stroke patients transferred to thrombectomy capable centers (TCC), undergo a CT head exam upon arrival at the TCC to evaluate for ASPECTS decay and intracranial hemorrhage. In patients who received iodinated contrast prior to transfer, parenchymal enhancement may simulate hemorrhage on this post-transfer CT. We report two cases utilizing CT spectral imaging to differentiate between parenchymal contrast enhancement and hemorrhage in this setting. TCC may consider dual-energy or dual-layer (spectral) imaging for this patient cohort.

Identifiants

pubmed: 32683139
pii: S0899-7071(20)30255-2
doi: 10.1016/j.clinimag.2020.06.046
pii:
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

75-78

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Edwin Gulko (E)

Department of Radiology, Division of Neuroradiology, Westchester Medical Center, Valhalla, NY, United States of America. Electronic address: Edwin.Gulko@wmchealth.org.

Sana Ali (S)

Department of Radiology, Division of Neuroradiology, Westchester Medical Center, Valhalla, NY, United States of America.

William Gomes (W)

Department of Radiology, Division of Neuroradiology, Westchester Medical Center, Valhalla, NY, United States of America.

Chirag Gandhi (C)

Department of Neurosurgery, Westchester Medical Center, Valhalla, NY, United States of America.

Hasit Mehta (H)

Department of Radiology, Division of Neuroradiology, Westchester Medical Center, Valhalla, NY, United States of America.

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Classifications MeSH