Volumetric assessment of extracranial carotid artery aneurysms.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
30 05 2019
Historique:
received: 06 02 2019
accepted: 03 05 2019
entrez: 1 6 2019
pubmed: 31 5 2019
medline: 21 10 2020
Statut: epublish

Résumé

The extracranial carotid artery aneurysm (ECAA) is a rare pathology for which clinical treatment guidelines are lacking. In general, symptoms or growth of the aneurysm sac are thought to indicate intervention. ECAAs may present in a large variety of shapes and sizes, and conventional diameter measurements fail to indicate geometrical differences. Therefore, we propose a protocol to measure ECAA size by 3D volumetric assessment. The volumes of 40 ECAAs in computed tomography angiography (CTA) images were measured through manual segmentation, by two independent operators. Volumes of the entire internal carotid artery (ICA) and the ECAA were measured separately. Excellent inter- and intraoperator reliability was found for both ICA and ECAA volumes, with all intraclass correlation coefficients above 0.94. Bland-Altman analysis revealed normal differences for both inter- and intraoperator agreement. For all volumes, similarity of the segmentations was excellent. Outliers were explained by presence of intraluminal ECAA thrombus, which hampered identification of the aneurysm outer wall. These results implicate robustness of our protocol, which is designed as a step-up towards (semi)automatic volumetric measurements to monitor patients with ECAA. Future (semi)automatic volumetric assessments are recommended and such techniques can be developed and validated using the proposed protocol and manual reference segmentations.

Identifiants

pubmed: 31147576
doi: 10.1038/s41598-019-44553-0
pii: 10.1038/s41598-019-44553-0
pmc: PMC6542789
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8108

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Auteurs

E E de Vries (EE)

Department of Vascular Surgery, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, The Netherlands.

C J H C M van Laarhoven (CJHCM)

Department of Vascular Surgery, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, The Netherlands.

H J Kuijf (HJ)

Image Sciences Institute, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, the Netherlands.

C E V B Hazenberg (CEVB)

Department of Vascular Surgery, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, The Netherlands.

J A van Herwaarden (JA)

Department of Vascular Surgery, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, The Netherlands.

M A Viergever (MA)

Image Sciences Institute, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, the Netherlands.

G J de Borst (GJ)

Department of Vascular Surgery, University Medical Center Utrecht, University Utrecht, PO Box 85500, Utrecht, The Netherlands. g.j.deborst-2@umcutrecht.nl.

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