Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rule-out and rule-in of carotid near-occlusion using color duplex ultrasound
Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Physiology, Sahlgrenska University Hospital, Blå stråket 5, Gothenburg, Sweden.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.ORCID iD: 0000-0003-2078-3658
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention.
Sunnybrook Health Science Center, Department of Medical Imaging, University of Toronto, ON, Toronto, Canada.
Show others and affiliations
2025 (English)In: Neuroradiology, ISSN 0028-3940, E-ISSN 1432-1920, p. 1223-1231Article in journal (Refereed) Published
Abstract [en]

Purpose: Diagnosing carotid near-occlusion (CNO) with colour duplex ultrasound (CDU) is challenging. We hypothesised that CNO is associated with a reduced distal internal carotid artery (ICA) velocity and aimed to assess if distal velocity is able to diagnose CNO accurately. If not, we aimed to develop CDU rule-out and rule-in criteria to diagnose CNO.

Methods: This is a prospective cross-sectional study in consecutive participants with suspected ≥ 50% carotid stenosis on CT angiography (CTA). CDU velocities in the common carotid artery, the stenosis and distal to the stenosis were examined. CTAs were assessed for CNO, serving as a reference test. If no CDU parameter was both sensitive and specific for CNO, rule-out (98% sensitive) and rule-in (99% specific) criteria were created.

Results: Of the 315 included participants with ≥ 50% stenosis, 190 (60%) were conventional ≥ 50% stenosis and 125 (40%) CNO. No CDU parameter was both sensitive and specific for CNO. The best exclusion criteria were stenosis end diastolic velocity (EDV) ≤ 63 cm/s and/or distal peak systolic velocity (PSV) > 23 cm/s, seen in 115 (38%) participants. The best rule-in criteria were stenosis EDV ≥ 280 cm/s and/or distal PSV ≤ 23 cm/s, seen in 35 (12%) participants. Of the remaining participants, 143 (47%) were uncertain (74 CNOs) and 9 (3%) were misdiagnosed as carotid occlusion (all CNOs).

Conclusions: CDU alone cannot diagnose CNO but can rule in or rule out CNO in half of participants with ≥ 50% stenosis. These criteria are intended for inclusion in an algorithm, sorting cases needing further exams, such as CTA and/or phase-contrast magnetic resonance angiography.

Place, publisher, year, edition, pages
Springer Nature, 2025. p. 1223-1231
Keywords [en]
Carotid near-occlusion, Carotid stenosis, Colour duplex ultrasound, CT angiography, Stroke
National Category
Radiology and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-239107DOI: 10.1007/s00234-025-03612-2ISI: 001469544300001PubMedID: 40237813Scopus ID: 2-s2.0-105005081507OAI: oai:DiVA.org:umu-239107DiVA, id: diva2:1961687
Funder
Knut and Alice Wallenberg FoundationRegion VästerbottenSwedish Heart Lung FoundationThe Swedish Stroke AssociationSwedish Society of MedicineNorrländska HjärtfondenAvailable from: 2025-05-27 Created: 2025-05-27 Last updated: 2025-07-11Bibliographically approved

Open Access in DiVA

fulltext(1448 kB)2 downloads
File information
File name FULLTEXT02.pdfFile size 1448 kBChecksum SHA-512
149fbca27961d4d0b71e1c03a300bd124c1b8f4dd654cb1e791ce4359751efdab985da47cc82e134fb97d1e343d6da2a3f55f9ced71d90605ef778cff309a1e3
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Vanoli, DavideHenze, AlexanderJohansson, Elias

Search in DiVA

By author/editor
Vanoli, DavideHenze, AlexanderJohansson, Elias
By organisation
Department of Public Health and Clinical MedicineDepartment of Diagnostics and InterventionWallenberg Centre for Molecular Medicine at Umeå University (WCMM)Neurosciences
In the same journal
Neuroradiology
Radiology and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
Total: 27 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 221 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf