Detection of moderate to severe middle cerebral artery atherosclerotic stenosis in stroke patients: Transcranial color-coded duplex sonography versus computed tomography angiography.

Ischemic cerebrovascular events atherosclerotic stenosis cerebral angiography middle cerebral artery transcranial ultrasound

Journal

Ultrasound (Leeds, England)
ISSN: 1742-271X
Titre abrégé: Ultrasound
Pays: United States
ID NLM: 101244122

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 26 09 2022
accepted: 01 05 2023
pmc-release: 01 02 2025
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 5 2 2024
Statut: ppublish

Résumé

Intracranial atherosclerotic stenosis is a common cause of ischemic cerebrovascular events and is associated with a high risk of stroke recurrence. This study aimed to assess the diagnostic accuracy of transcranial color-coded duplex sonography for moderate-to-severe middle cerebral artery stenosis in stroke patients. A retrospective analysis was carried out, including 31 patients aged ⩾18 years hospitalized for ischemic cerebrovascular event in whom middle cerebral artery stenosis ⩾30% was identified on computed tomography angiography. Transcranial color-coded duplex sonography findings were compared to the degree of stenosis blindly identified on the computed tomography angiography used as the reference method. Overall, 27 patients had M1 stenosis and the other 4 had M2 stenosis. To detect M2 stenosis ⩾ 50% and ⩾ 70%, stenotic to pre-stenotic ratio ⩾ 2 and ⩾ 3 had a sensitivity of 100%, respectively. To detect M1 stenosis ⩾ 70%, peak systolic velocity ⩾ 300 cm/s had a sensitivity of 53.8% and specificity of 85.7% with area under the receiver-operating characteristic curve of 0.753 (95% confidence interval: 0.568-0.938; This study showed that stenotic to pre-stenotic ratio ⩾ 3 was more sensitive than peak systolic velocity ⩾ 300 cm/s to screen M1 stenosis ⩾ 70%. Middle cerebral artery/anterior cerebral artery ratio < 0.7 was a good indirect sign to detect dampened pre-stenotic flow due to M1 stenosis ⩾ 70%.

Sections du résumé

Background UNASSIGNED
Intracranial atherosclerotic stenosis is a common cause of ischemic cerebrovascular events and is associated with a high risk of stroke recurrence. This study aimed to assess the diagnostic accuracy of transcranial color-coded duplex sonography for moderate-to-severe middle cerebral artery stenosis in stroke patients.
Methods UNASSIGNED
A retrospective analysis was carried out, including 31 patients aged ⩾18 years hospitalized for ischemic cerebrovascular event in whom middle cerebral artery stenosis ⩾30% was identified on computed tomography angiography. Transcranial color-coded duplex sonography findings were compared to the degree of stenosis blindly identified on the computed tomography angiography used as the reference method.
Results UNASSIGNED
Overall, 27 patients had M1 stenosis and the other 4 had M2 stenosis. To detect M2 stenosis ⩾ 50% and ⩾ 70%, stenotic to pre-stenotic ratio ⩾ 2 and ⩾ 3 had a sensitivity of 100%, respectively. To detect M1 stenosis ⩾ 70%, peak systolic velocity ⩾ 300 cm/s had a sensitivity of 53.8% and specificity of 85.7% with area under the receiver-operating characteristic curve of 0.753 (95% confidence interval: 0.568-0.938;
Conclusion UNASSIGNED
This study showed that stenotic to pre-stenotic ratio ⩾ 3 was more sensitive than peak systolic velocity ⩾ 300 cm/s to screen M1 stenosis ⩾ 70%. Middle cerebral artery/anterior cerebral artery ratio < 0.7 was a good indirect sign to detect dampened pre-stenotic flow due to M1 stenosis ⩾ 70%.

Identifiants

pubmed: 38314017
doi: 10.1177/1742271X231195723
pii: 10.1177_1742271X231195723
pmc: PMC10836233
doi:

Types de publication

Journal Article

Langues

eng

Pagination

43-52

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Moussa Toudou-Daouda (M)

Department of Neurology, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.

Nicolas Chausson (N)

Department of Neurology, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.

Didier Smadja (D)

Department of Neurology, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.

Cosmin Alecu (C)

Department of Neurology, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France.
Department of Neurology, Centre Hospitalier Universitaire de Nice, Nice, France.

Classifications MeSH