Literature DB >> 25454398

Detection and characterization of unruptured intracranial aneurysms: Comparison of 3T MRA and DSA.

Benjamin Mine1, Martina Pezzullo2, Gonçalo Roque2, Philippe David2, Thierry Metens2, Boris Lubicz2.   

Abstract

PURPOSE: To compare magnetic resonance angiography (MRA) at 3 Tesla (3T) and digital subtraction angiography (DSA) for the detection and characterization of unruptured intracranial aneurysms (UIA).
MATERIALS AND METHODS: This study has been approved by our local ethical committee. From February to August 2010, 40 consecutive patients with UIA contemporarily underwent MRA at 3T including time-of-flight (TOF-MRA) and contrast enhanced (CE-MRA) techniques and DSA. MR images were independently reviewed by 3 radiologists and DSA images were reviewed by 2 radiologists together. Interobserver and intertechnique agreements were assessed for aneurysm detection and characterization including maximal diameter, neck width and the presence of a bleb or a branch arising from the sac.
RESULTS: DS angiography revealed 56 aneurysms. Mean sensitivity and positive predictive value of MRA were 91.4% and 93.4% respectively. For UIA < 3 mm and those ≥ 3 mm, MRA had a mean sensitivity of 74.1% and 100% respectively. Intertechnique and interobserver agreements were substantial for the measurement of UIA maximal diameter (mean κ, 0.607 and 0.601 respectively) and were moderate and fair for neck width measurement respectively (mean κ, 0.456 and 0.285 respectively). For bleb detection, intertechnique and interobserver agreements were fair and slight respectively (mean κ, 0.312 and 0.116 respectively) whereas both were slight for detection of branches arising from the sac (mean κ, 0.151 and 0.070 respectively).
CONCLUSION: MR angiography at 3T has a high sensitivity for the detection of UIA. However, it remains significantly inferior to DSA for morphological characterization of UIA.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  3T magnetic resonance angiography; Digitalized subtraction angiography; Intracranial aneurysm

Mesh:

Year:  2014        PMID: 25454398     DOI: 10.1016/j.neurad.2014.08.002

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  6 in total

1.  Evaluation of fast highly undersampled contrast-enhanced MR angiography (sparse CE-MRA) in intracranial applications - initial study.

Authors:  Marcel Gratz; Marc Schlamann; Sophia Goericke; Stefan Maderwald; Harald H Quick
Journal:  Eur Radiol       Date:  2016-06-14       Impact factor: 5.315

2.  Prospective motion correction enables highest resolution time-of-flight angiography at 7T.

Authors:  Hendrik Mattern; Alessandro Sciarra; Frank Godenschweger; Daniel Stucht; Falk Lüsebrink; Georg Rose; Oliver Speck
Journal:  Magn Reson Med       Date:  2017-12-11       Impact factor: 4.668

3.  Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA.

Authors:  B Sohn; K-Y Park; J Choi; J H Koo; K Han; B Joo; S Y Won; J Cha; H S Choi; S-K Lee
Journal:  AJNR Am J Neuroradiol       Date:  2021-08-12       Impact factor: 4.966

4.  Deep neural network-based detection and segmentation of intracranial aneurysms on 3D rotational DSA.

Authors:  Xinke Liu; Junqiang Feng; Zhenzhou Wu; Zhonghao Neo; Chengcheng Zhu; Peifang Zhang; Yan Wang; Yuhua Jiang; Dimitrios Mitsouras; Youxiang Li
Journal:  Interv Neuroradiol       Date:  2021-03-09       Impact factor: 1.764

5.  Reliability and Agreement of 2D and 3D Measurements on MRAs for Growth Assessment of Unruptured Intracranial Aneurysms.

Authors:  K M Timmins; H J Kuijf; M D I Vergouwen; M J Otten; Y M Ruigrok; B K Velthuis; I C van der Schaaf
Journal:  AJNR Am J Neuroradiol       Date:  2021-07-01       Impact factor: 4.966

6.  7T versus 3T MR Angiography to Assess Unruptured Intracranial Aneurysms.

Authors:  Eva Leemans; Bart Cornelissen; M L C Sing; Marieke Sprengers; Rene van den Berg; Yvo Roos; W Pieter Vandertop; Cornelius Slump; Henk Marquering; Charles Majoie
Journal:  J Neuroimaging       Date:  2020-08-28       Impact factor: 2.486

  6 in total

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