Stroke Mimics in the Acute Setting: Role of Multimodal CT Protocol.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
02 2022
Historique:
received: 22 06 2021
accepted: 06 10 2021
pubmed: 1 1 2022
medline: 11 3 2022
entrez: 31 12 2021
Statut: ppublish

Résumé

Ischemic stroke can be mimicked by nonischemic conditions. Due to emphasis on the rapid treatment of acute ischemic stroke, it is crucial to identify these conditions to avoid unnecessary therapies and potential complications. We investigated the performance of the multimodal CT protocol (unenhanced brain CT, CTA, and CTP) to discriminate stroke mimics from acute ischemic stroke. We retrospectively selected multimodal CT studies performed for clinical suspicion of acute ischemic stroke in our center in a 24-month period, including patients with at least 1 follow-up imaging study (brain CT or MR imaging). Hemorrhagic strokes were excluded. We measured the performance of multimodal CT, comparing the original diagnostic results with the final clinical diagnosis at discharge. Among 401 patients, a stroke mimic condition was diagnosed in 89 (22%), including seizures (34.8%), migraine with aura attack (12.4%), conversion disorder (12.4%), infection (7.9%), brain tumor (7.9%), acute metabolic condition (6.7%), peripheral vertigo (5.6%), syncope (5.6%), transient global amnesia (3.4%), subdural hematoma (1.1%), cervical epidural hematoma (1.1%), and dural AVF (1.1%). Multimodal CT sensitivity, specificity, and accuracy were 24.7%, 99.7%, and 83%. Multimodal CT revealed peri-ictal changes in 13/31 seizures and diagnosed 7/7 brain tumors, 1/1 dural AVF, and 1/1 subdural hematoma. CT perfusion played a pivotal diagnostic role. Multimodal CT demonstrated low sensitivity but high specificity in the diagnosis of stroke mimics in the acute setting. The high specificity of multimodal CT allows ruling out stroke and thereby avoiding unnecessary revascularization treatment in patients with diagnosis of a stroke mimic.

Sections du résumé

BACKGROUND AND PURPOSE
Ischemic stroke can be mimicked by nonischemic conditions. Due to emphasis on the rapid treatment of acute ischemic stroke, it is crucial to identify these conditions to avoid unnecessary therapies and potential complications. We investigated the performance of the multimodal CT protocol (unenhanced brain CT, CTA, and CTP) to discriminate stroke mimics from acute ischemic stroke.
MATERIALS AND METHODS
We retrospectively selected multimodal CT studies performed for clinical suspicion of acute ischemic stroke in our center in a 24-month period, including patients with at least 1 follow-up imaging study (brain CT or MR imaging). Hemorrhagic strokes were excluded. We measured the performance of multimodal CT, comparing the original diagnostic results with the final clinical diagnosis at discharge.
RESULTS
Among 401 patients, a stroke mimic condition was diagnosed in 89 (22%), including seizures (34.8%), migraine with aura attack (12.4%), conversion disorder (12.4%), infection (7.9%), brain tumor (7.9%), acute metabolic condition (6.7%), peripheral vertigo (5.6%), syncope (5.6%), transient global amnesia (3.4%), subdural hematoma (1.1%), cervical epidural hematoma (1.1%), and dural AVF (1.1%). Multimodal CT sensitivity, specificity, and accuracy were 24.7%, 99.7%, and 83%. Multimodal CT revealed peri-ictal changes in 13/31 seizures and diagnosed 7/7 brain tumors, 1/1 dural AVF, and 1/1 subdural hematoma. CT perfusion played a pivotal diagnostic role.
CONCLUSIONS
Multimodal CT demonstrated low sensitivity but high specificity in the diagnosis of stroke mimics in the acute setting. The high specificity of multimodal CT allows ruling out stroke and thereby avoiding unnecessary revascularization treatment in patients with diagnosis of a stroke mimic.

Identifiants

pubmed: 34969667
pii: ajnr.A7379
doi: 10.3174/ajnr.A7379
pmc: PMC8985681
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

216-222

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 by American Journal of Neuroradiology.

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Auteurs

E Prodi (E)

From the Departments of Neuroradiology (E.Prodi, L.D., E.Pravatà, A.C.) elena.prodi@eoc.ch.

L Danieli (L)

From the Departments of Neuroradiology (E.Prodi, L.D., E.Pravatà, A.C.).

C Manno (C)

Neurology (C.M., C.S., C.W.C.), Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland.

A Pagnamenta (A)

Unit of Clinical Epidemiology (A.P.), Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Department of Intensive Care Medicine (A.P.), Ente Ospedaliero Cantonale, Mendrisio, Switzerland.
Division of Pneumology (A.P.), University Hospital of Geneva, Geneva, Switzerland.

E Pravatà (E)

From the Departments of Neuroradiology (E.Prodi, L.D., E.Pravatà, A.C.).
Faculty of Biomedical Sciences (E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland.

L Roccatagliata (L)

Department of Health Science (DISSAL) (L.R.), University of Genova, Genova, Italy.

C Städler (C)

Neurology (C.M., C.S., C.W.C.), Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland.

C W Cereda (CW)

Neurology (C.M., C.S., C.W.C.), Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland.

A Cianfoni (A)

Department of Neuroradiology (A.C.), Inselspital Bern, University of Bern, Bern, Switzerland.

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