Visualization of intracranial aneurysms treated with Woven EndoBridge (WEB) devices using Ultrashort Echo Time Magnetic Resonance Imaging (UTE-MRI).

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:
12 Jul 2024
Historique:
received: 26 01 2024
accepted: 29 06 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Assessing treatment success of intracranial aneurysms treated with Woven EndoBridge (WEB) devices using MRI is important in follow-up imaging. Depicting both the device configuration as well as reperfusion is challenging due to susceptibility artefacts. We evaluated the usefulness of contrast-enhanced 3D-Ultrashort Echo-Time (UTE) sequence in this setting. In this prospective study, 12 patients (9 female) with 15 treated aneurysms were included. These 12 patients underwent 18 MRI examinations. Follow-up UTE-MRI controls were performed on the same 3-Tesla scanner. We compared the visualization of device configuration, artifact-related virtual stenosis of the parent vessel and WEB occlusion scale in 3D isotropic UTE-MRI post-contrast with standard time-of-flight (TOF) MR-angiography with (CE) and without intravenous contrast as well as DSA. Two interventional neuroradiologists rated the images separately and in consensus. Visualization of the WEB device position and configuration was rated superior or highly superior using the UTE sequence in 17/18 MRIs compared to TOF-MRA. Artifact-related virtual stenosis of the parent vessel was significantly lower in UTE-MRI compared to TOF and CE-TOF. Reperfusion was visible in 8/18 controls in DSA. TOF was able to grade reperfusion correctly in 16 cases, CE-TOF in 16 cases and UTE in 17 cases. Contrast-enhanced UTE is a novel MRI sequence that shows benefit compared to standard sequences in non-invasive and radiation-free follow-up imaging of intracranial aneurysms treated using the WEB-device. ACoA = anterior communicating artery, BA = basilar artery, CEA = contrast enhanced angiography, ICA = internal carotid artery, MCA = middle cerebral artery, PCom = posterior communicating artery TOF-CE = contrast enhanced time-of-flight angiography, UTE = ultra-short echo time, WEB = woven endobridge.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Assessing treatment success of intracranial aneurysms treated with Woven EndoBridge (WEB) devices using MRI is important in follow-up imaging. Depicting both the device configuration as well as reperfusion is challenging due to susceptibility artefacts. We evaluated the usefulness of contrast-enhanced 3D-Ultrashort Echo-Time (UTE) sequence in this setting.
MATERIALS AND METHODS METHODS
In this prospective study, 12 patients (9 female) with 15 treated aneurysms were included. These 12 patients underwent 18 MRI examinations. Follow-up UTE-MRI controls were performed on the same 3-Tesla scanner. We compared the visualization of device configuration, artifact-related virtual stenosis of the parent vessel and WEB occlusion scale in 3D isotropic UTE-MRI post-contrast with standard time-of-flight (TOF) MR-angiography with (CE) and without intravenous contrast as well as DSA. Two interventional neuroradiologists rated the images separately and in consensus.
RESULTS RESULTS
Visualization of the WEB device position and configuration was rated superior or highly superior using the UTE sequence in 17/18 MRIs compared to TOF-MRA. Artifact-related virtual stenosis of the parent vessel was significantly lower in UTE-MRI compared to TOF and CE-TOF. Reperfusion was visible in 8/18 controls in DSA. TOF was able to grade reperfusion correctly in 16 cases, CE-TOF in 16 cases and UTE in 17 cases.
CONCLUSIONS CONCLUSIONS
Contrast-enhanced UTE is a novel MRI sequence that shows benefit compared to standard sequences in non-invasive and radiation-free follow-up imaging of intracranial aneurysms treated using the WEB-device.
ABBREVIATIONS BACKGROUND
ACoA = anterior communicating artery, BA = basilar artery, CEA = contrast enhanced angiography, ICA = internal carotid artery, MCA = middle cerebral artery, PCom = posterior communicating artery TOF-CE = contrast enhanced time-of-flight angiography, UTE = ultra-short echo time, WEB = woven endobridge.

Identifiants

DOI: 10.3174/ajnr.A8401 PMID: 38997121
pubmed: 38997121
pii: ajnr.A8401
doi: 10.3174/ajnr.A8401
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by American Journal of Neuroradiology.

Auteurs

Daniel Toth (D)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Stefan Sommer (S)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Riccardo Ludovichetti (R)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Markus Klarhöfer (M)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Jawid Madjidyar (J)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Patrick Thurner (P)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Marco Piccirelli (M)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Miklos Krepuska (M)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Tim Finkenstädt (T)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Roman Guggenberger (R)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Sebastian Winklhofer (S)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Zsolt Kulcsar (Z)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Tilman Schubert (T)

From the Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland (D.T., J.W., R.L., P.T., M.P., M.K., S.W., Z.K., T.S.), Siemens Healthcare, Zürich, Switzerland (S.S., M.K.), and Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland (S.S.), Department of Radiology, University Hospital Zürich, Zürich, Switzerland (R.G., T.F.).

Classifications MeSH