A Volumetric Metric for Monitoring Intracranial Aneurysms: Repeatability and Growth Criteria in a Longitudinal MR Imaging Study.


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:
09 2021
Historique:
received: 09 12 2020
accepted: 01 04 2021
pubmed: 26 6 2021
medline: 25 11 2021
entrez: 25 6 2021
Statut: ppublish

Résumé

The reliability of contrast-enhanced MRA in monitoring serial volumetric changes of unruptured intracranial aneurysms has not been established. We aimed to determine the coefficient of variance of contrast-enhanced MRA in measuring aneurysm volumes, thus establishing criteria for aneurysm growth and permitting identification of variables predictive of growth. Aneurysm volumes were measured from serial contrast-enhanced MRA studies of patients with untreated intracranial aneurysms who underwent >2 sequential MR imaging evaluations. After coregistering all sequential studies in 3D space for each aneurysm and signal intensity normalization, aneurysm volume was determined across all time points. A linear mixed effects model was built to estimate the coefficient of variance of the measurement as well as to determine predictive variables. Growth was defined as relative growth exceeding 2 times the measurement coefficient of variance (sudden growth, as 4 times the coefficient of variance). A total of 95 patients with 112 aneurysms were included (5.9 scans during 4.0 years on average, 616 scan measurements in total). The coefficient of variance was 5.5% of the aneurysm volume, and the relative growth rate was dependent on the location: anterior cerebral artery, 4.52% per year; vertebral artery, 2.46% per year; middle cerebral artery, 2.74% per year; basilar artery, 2.36% per year; internal carotid artery, 1.14% per year. Thirty-six of 112 (32%) aneurysms were characterized as growing, and 11/36 of them had an episode of sudden growth. Volume measurement of unruptured intracranial aneurysms by contrast-enhanced MRA seems a reliable metric for tracking the growth trajectory of aneurysms. Furthermore, the aneurysm growth rate differs among different locations.

Sections du résumé

BACKGROUND AND PURPOSE
The reliability of contrast-enhanced MRA in monitoring serial volumetric changes of unruptured intracranial aneurysms has not been established. We aimed to determine the coefficient of variance of contrast-enhanced MRA in measuring aneurysm volumes, thus establishing criteria for aneurysm growth and permitting identification of variables predictive of growth.
MATERIALS AND METHODS
Aneurysm volumes were measured from serial contrast-enhanced MRA studies of patients with untreated intracranial aneurysms who underwent >2 sequential MR imaging evaluations. After coregistering all sequential studies in 3D space for each aneurysm and signal intensity normalization, aneurysm volume was determined across all time points. A linear mixed effects model was built to estimate the coefficient of variance of the measurement as well as to determine predictive variables. Growth was defined as relative growth exceeding 2 times the measurement coefficient of variance (sudden growth, as 4 times the coefficient of variance).
RESULTS
A total of 95 patients with 112 aneurysms were included (5.9 scans during 4.0 years on average, 616 scan measurements in total). The coefficient of variance was 5.5% of the aneurysm volume, and the relative growth rate was dependent on the location: anterior cerebral artery, 4.52% per year; vertebral artery, 2.46% per year; middle cerebral artery, 2.74% per year; basilar artery, 2.36% per year; internal carotid artery, 1.14% per year. Thirty-six of 112 (32%) aneurysms were characterized as growing, and 11/36 of them had an episode of sudden growth.
CONCLUSIONS
Volume measurement of unruptured intracranial aneurysms by contrast-enhanced MRA seems a reliable metric for tracking the growth trajectory of aneurysms. Furthermore, the aneurysm growth rate differs among different locations.

Identifiants

pubmed: 34167960
pii: ajnr.A7190
doi: 10.3174/ajnr.A7190
pmc: PMC8423054
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1591-1597

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS059944
Pays : United States

Informations de copyright

© 2021 by American Journal of Neuroradiology.

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Auteurs

X Liu (X)

From the Department of Interventional Neuroradiology (X.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

H Haraldsson (H)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

Y Wang (Y)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa wangyuting_330@163.com.
Department of Radiology (Y.W.), Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

E Kao (E)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

M Ballweber (M)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

A J Martin (AJ)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

C E McCulloch (CE)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

F Faraji (F)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

D Saloner (D)

Departments of Radiology and Biomedical Imaging, and Epidemiology and Biostatistics (X.L., H.H., Y.W., E.K., M.B., A.J.M., C.E.M., F.F., D.S), University of California San Francisco, San Francisco, Californa.

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