Feasibility of shear wave sonoelastography to detect endoleak and evaluate thrombus organization after endovascular repair of abdominal aortic aneurysm.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 01 11 2019
accepted: 11 02 2020
revised: 26 12 2019
pubmed: 5 3 2020
medline: 29 12 2020
entrez: 5 3 2020
Statut: ppublish

Résumé

To investigate the feasibility of shear wave sonoelastography (SWS) for endoleak detection and thrombus characterization of abdominal aortic aneurysm (AAA) after endovascular repair (EVAR). Participants who underwent EVAR were prospectively recruited between November 2014 and March 2016 and followed until March 2019. Elasticity maps of AAA were computed using SWS and compared to computed tomography angiography (CTA) and color Doppler ultrasound (CDUS). Two readers, blinded to the CTA and CDUS results, reviewed elasticity maps and B-mode images to detect endoleaks. Three or more CTAs per participant were analyzed: pre-EVAR, baseline post-EVAR, and follow-ups. The primary endpoint was endoleak detection. Secondary endpoints included correlation between total thrombus elasticity, proportion of fresh thrombus, and aneurysm growth between baseline and reference CTAs. A 3-year follow-up was made to detect missed endoleaks, EVAR complication, and mortality. Data analyses included Cohen's kappa; sensitivity, specificity, and positive predictive value (PPV); Pearson coefficient; and Student's t tests. Seven endoleaks in 28 participants were detected by the two SWS readers (k = 0.858). Sensitivity of endoleak detection with SWS was 100%; specificity and PPV averaged 67% and 50%, respectively. CDUS sensitivity was estimated at 43%. Aneurysm growth was significantly greater in the endoleak group compared to sealed AAAs. No correlation between growth and thrombus elasticity or proportion of fresh thrombus in AAAs was found. No new endoleaks were observed in participants with SWS negative studies. SWS has the potential to detect endoleaks in AAA after EVAR with comparable sensitivity to CTA and superior sensitivity to CDUS. • Dynamic elastography with shear wave sonoelastography (SWS) detected 100% of endoleaks in abdominal aortic aneurysm (AAA) follow-up that were identified by a combination of CT angiography (CTA) and color Doppler ultrasound (CDUS). • Based on elasticity maps, SWS differentiated endoleaks from thrombi within the aneurysm sac (p < 0.001). • After 3-year follow-up, no new endoleaks were observed in SWS negative examinations.

Identifiants

pubmed: 32130495
doi: 10.1007/s00330-020-06739-3
pii: 10.1007/s00330-020-06739-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3879-3889

Subventions

Organisme : canadian institute of health research
ID : MOP #115099
Organisme : Fonds de Recherche du Québec - Santé
ID : ARQ #22951
Organisme : Fonds de Recherche du Québec - Santé
ID : 34939

Auteurs

Nicolas Voizard (N)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.

Antony Bertrand-Grenier (A)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.
Department of Physics, Université de Montréal, Montréal, Canada.

Husain Alturkistani (H)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.

Eric Therasse (E)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.
Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.

An Tang (A)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.
Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.
Institute of Biomedical Engineering, Université de Montréal, Montréal, Québec, Canada.

Claude Kauffmann (C)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada.

Guy Cloutier (G)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada.
Institute of Biomedical Engineering, Université de Montréal, Montréal, Québec, Canada.
Laboratory of Biorrheology and Medical Ultrasound, CRCHUM, Montréal, Québec, Canada.

Gilles Soulez (G)

Laboratory of Clinical Imaging Processing, Centre hospitalier de l'Université de Montréal (CHUM) Research Center (CRCHUM), Montréal, Québec, Canada. gilles.soulez.chum@ssss.gouv.qc.ca.
Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada. gilles.soulez.chum@ssss.gouv.qc.ca.
Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada. gilles.soulez.chum@ssss.gouv.qc.ca.
Institute of Biomedical Engineering, Université de Montréal, Montréal, Québec, Canada. gilles.soulez.chum@ssss.gouv.qc.ca.
Centre de Recherche, Centre Hospitalier de l'Université de Montréal (CRCHUM), 900 rue St Denis, Montréal, QC, H2X 0A9, Canada. gilles.soulez.chum@ssss.gouv.qc.ca.

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