Literature DB >> 25089020

The SIENA/FSL whole brain atrophy algorithm is no more reproducible at 3T than 1.5 T for Alzheimer's disease.

Keith S Cover1, Ronald A van Schijndel2, Veronica Popescu2, Bob W van Dijk3, Alberto Redolfi4, Dirk L Knol5, Giovanni B Frisoni4, Frederik Barkhof6, Hugo Vrenken7.   

Abstract

The back-to-back (BTB) acquisition of MP-RAGE MRI scans of the Alzheimer׳s Disease Neuroimaging Initiative (ADNI1) provides an excellent data set with which to check the reproducibility of brain atrophy measures. As part of ADNI1, 131 subjects received BTB MP-RAGEs at multiple time points and two field strengths of 3T and 1.5 T. As a result, high quality data from 200 subject-visit-pairs was available to compare the reproducibility of brain atrophies measured with FSL/SIENA over 12 to 18 month intervals at both 3T and 1.5 T. Although several publications have reported on the differing performance of brain atrophy measures at 3T and 1.5 T, no formal comparison of reproducibility has been published to date. Another goal was to check whether tuning SIENA options, including -B, -S, -R and the fractional intensity threshold (f) had a significant impact on the reproducibility. The BTB reproducibility for SIENA was quantified by the 50th percentile of the absolute value of the difference in the percentage brain volume change (PBVC) for the BTB MP-RAGES. At both 3T and 1.5 T the SIENA option combination of "-B f=0.2", which is different from the default values of f=0.5, yielded the best reproducibility as measured by the 50th percentile yielding 0.28 (0.23-0.39)% and 0.26 (0.20-0.32)%. These results demonstrated that in general 3T had no advantage over 1.5 T for the whole brain atrophy measure - at least for SIENA. While 3T MRI is superior to 1.5 T for many types of measurements, and thus worth the additional cost, brain atrophy measurement does not seem to be one of them.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer׳s; Back-to-back; Brain atrophy; FSL; Reproducibility׳

Mesh:

Year:  2014        PMID: 25089020     DOI: 10.1016/j.pscychresns.2014.07.002

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

Review 1.  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.

Authors:  François De Guio; Eric Jouvent; Geert Jan Biessels; Sandra E Black; Carol Brayne; Christopher Chen; Charlotte Cordonnier; Frank-Eric De Leeuw; Martin Dichgans; Fergus Doubal; Marco Duering; Carole Dufouil; Emrah Duzel; Franz Fazekas; Vladimir Hachinski; M Arfan Ikram; Jennifer Linn; Paul M Matthews; Bernard Mazoyer; Vincent Mok; Bo Norrving; John T O'Brien; Leonardo Pantoni; Stefan Ropele; Perminder Sachdev; Reinhold Schmidt; Sudha Seshadri; Eric E Smith; Luciano A Sposato; Blossom Stephan; Richard H Swartz; Christophe Tzourio; Mark van Buchem; Aad van der Lugt; Robert van Oostenbrugge; Meike W Vernooij; Anand Viswanathan; David Werring; Frank Wollenweber; Joanna M Wardlaw; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-11       Impact factor: 6.200

2.  Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL.

Authors:  Roland Opfer; Ann-Christin Ostwaldt; Christine Walker-Egger; Praveena Manogaran; Maria Pia Sormani; Nicola De Stefano; Sven Schippling
Journal:  J Neurol       Date:  2018-03-16       Impact factor: 4.849

3.  Improving the SIENA performance using BEaST brain extraction.

Authors:  Kunio Nakamura; Simon F Eskildsen; Sridar Narayanan; Douglas L Arnold; D Louis Collins
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

4.  Age-dependent cut-offs for pathological deep gray matter and thalamic volume loss using Jacobian integration.

Authors:  Roland Opfer; Julia Krüger; Lothar Spies; Marco Hamann; Carla A Wicki; Hagen H Kitzler; Carola Gocke; Diego Silva; Sven Schippling
Journal:  Neuroimage Clin       Date:  2020-10-27       Impact factor: 4.881

5.  Evoked Potentials and Memory/Cognition Tests Validate Brain Atrophy as Measured by 3T MRI (NeuroQuant) in Cognitively Impaired Patients.

Authors:  Eric R Braverman; Kenneth Blum; Karl L Hussman; David Han; Kristina Dushaj; Mona Li; Gabriela Marin; Rajendra D Badgaiyan; Richard Smayda; Mark S Gold
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

6.  Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging.

Authors:  Andreas P Lysandropoulos; Julie Absil; Thierry Metens; Nicolas Mavroudakis; François Guisset; Eline Van Vlierberghe; Dirk Smeets; Philippe David; Anke Maertens; Wim Van Hecke
Journal:  Brain Behav       Date:  2016-01-12       Impact factor: 2.708

  6 in total

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