Literature DB >> 17659544

Estimation of fusiform intracranial aneurysm growth by serial magnetic resonance imaging.

Bradley P Dispensa1, David A Saloner, Gabriel Acevedo-Bolton, Achal S Achrol, Lianger-der Jou, Charles E McCulloch, S Claiborne Johnston, Randall T Higashida, Christopher F Dowd, Van V Halbach, Nerissa U Ko, Michael T Lawton, Alastair J Martin, Nancy Quinnine, William L Young.   

Abstract

PURPOSE: Intracranial aneurysm (IA) growth is associated with increased morbidity. We sought to establish a quantitative computational method based on contrast-enhanced MR angiography (CE-MRA) for estimating aneurysmal volume changes over time.
MATERIALS AND METHODS: Computational volume calculations were tested against a distensible phantom. Untreated patients with IA were followed longitudinally with annual MRI. Maximal linear dimensions along the longitudinal axis and two transverse axes were determined by visual review of maximum intensity projection (MIP) data, and aneurysm volume was approximated as (length x width x height)/2. Averages of the visual approximations were compared to the lumenal volume as determined with a computational algorithm using the MRI data.
RESULTS: MRI-based measurements accurately represented volume changes in the phantom (R2 = 0.97, Y = 1.06x + 271 CM3). In the clinical study there were a total of 11 intervals of one-year follow-up in six patients (mean +/- SD, age = 53 +/- 20 years). The raw one-year growth using the computational volume was 9% +/- 17%. The corresponding value for the averaged measurement of the reviewers was 8% +/- 14%. Neither the mean values nor the SDs were different (P = .51).
CONCLUSION: MRI-based measurement of aneurysm volume appears feasible for longitudinal studies of aneurysm natural history. Copyright 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17659544     DOI: 10.1002/jmri.20944

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Rupture of cerebral myxomatous aneurysm months after resection of the primary cardiac tumor.

Authors:  Christopher S Eddleman; Numa R Gottardi-Littell; Bernard R Bendok; H Hunt Batjer; Richard A Bernstein
Journal:  Neurocrit Care       Date:  2010-10       Impact factor: 3.210

2.  Clinical and Imaging Characteristics of Diffuse Intracranial Dolichoectasia.

Authors:  W Brinjikji; D M Nasr; K D Flemming; A Rouchaud; H J Cloft; G Lanzino; D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-02       Impact factor: 3.825

3.  Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study.

Authors:  Loic Boussel; Vitaliy Rayz; Charles McCulloch; Alastair Martin; Gabriel Acevedo-Bolton; Michael Lawton; Randall Higashida; Wade S Smith; William L Young; David Saloner
Journal:  Stroke       Date:  2008-08-07       Impact factor: 7.914

4.  Monitoring serial change in the lumen and outer wall of vertebrobasilar aneurysms.

Authors:  L Boussel; M Wintermark; A Martin; B Dispensa; R VanTijen; J Leach; V Rayz; G Acevedo-Bolton; M Lawton; R Higashida; W S Smith; W L Young; D Saloner
Journal:  AJNR Am J Neuroradiol       Date:  2007-11-01       Impact factor: 3.825

5.  Phase-contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: comparison with computational fluid dynamics.

Authors:  Loic Boussel; Vitaliy Rayz; Alastair Martin; Gabriel Acevedo-Bolton; Michael T Lawton; Randall Higashida; Wade S Smith; William L Young; David Saloner
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

6.  Growth rate and rupture rate of unruptured intracranial aneurysms: a population approach.

Authors:  Liang-Der Jou; Michel E Mawad
Journal:  Biomed Eng Online       Date:  2009-06-18       Impact factor: 2.819

  6 in total

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