Literature DB >> 27431758

Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis.

Viola Biberacher1, Paul Schmidt2, Anisha Keshavan3, Christine C Boucard4, Ruthger Righart4, Philipp Sämann5, Christine Preibisch6, Daniel Fröbel6, Lilian Aly7, Bernhard Hemmer8, Claus Zimmer6, Roland G Henry3, Mark Mühlau4.   

Abstract

Brain volumetric measurements in multiple sclerosis (MS) reflect not only disease-specific processes but also other sources of variability. The latter has to be considered especially in multicenter and longitudinal studies. Here, we compare data generated by three different 3-Tesla magnetic resonance scanners (Philips Achieva; Siemens Verio; GE Signa MR750). We scanned two patients diagnosed with relapsing remitting MS six times per scanner within three weeks (T1w and FLAIR, 3D). We assessed T2-hyperintense lesions by an automated lesion segmentation tool and determined volumes of grey matter (GM), white matter (WM) and whole brain (GM+WM) from the lesion-filled T1-weighted images using voxel-based morphometry (SPM8/VBM8) and SIENAX (FSL). We measured cortical thickness using FreeSurfer from both, lesion-filled and original T1-weighted images. We quantified brain volume changes with SIENA. In both patients, we found significant differences in total lesion volume, global brain tissue volumes and cortical thickness measures between the scanners. Morphometric measures varied remarkably between repeated scans at each scanner, independent of the brain imaging software tool used. We conclude that for cross-sectional multicenter studies, the effect of different scanners has to be taken into account. For longitudinal monocentric studies, the expected effect size should exceed the size of false positive findings observed in this study. Assuming a physiological loss of brain volume of about 0.3% per year in healthy adult subjects (Good et al., 2001), which may double in MS (De Stefano et al., 2010; De Stefano et al., 2015), with current tools reliable estimation of brain atrophy in individual patients is only possible over periods of several years.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging; Multiple sclerosis; Scanner-related variability

Mesh:

Year:  2016        PMID: 27431758     DOI: 10.1016/j.neuroimage.2016.07.035

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  26 in total

1.  Association of Retinal Architecture, Intrathecal Immunity, and Clinical Course in Multiple Sclerosis.

Authors:  Benjamin Knier; Gildas Leppenetier; Carmen Wetzlmair; Lilian Aly; Muna-Miriam Hoshi; Verena Pernpeintner; Viola Biberacher; Achim Berthele; Mark Mühlau; Claus Zimmer; Bernhard Hemmer; Thomas Korn
Journal:  JAMA Neurol       Date:  2017-07-01       Impact factor: 18.302

2.  DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

Authors:  Blake E Dewey; Can Zhao; Jacob C Reinhold; Aaron Carass; Kathryn C Fitzgerald; Elias S Sotirchos; Shiv Saidha; Jiwon Oh; Dzung L Pham; Peter A Calabresi; Peter C M van Zijl; Jerry L Prince
Journal:  Magn Reson Imaging       Date:  2019-07-10       Impact factor: 2.546

3.  Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks.

Authors:  Julia Krüger; Ann-Christin Ostwaldt; Lothar Spies; Benjamin Geisler; Alexander Schlaefer; Hagen H Kitzler; Sven Schippling; Roland Opfer
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 5.315

4.  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

5.  Relationship between episodic memory and volume of the brain regions of two functional cortical memory systems in multiple sclerosis.

Authors:  Yolanda Aladro; Laudino López-Alvarez; Jorge Mario Sánchez-Reyes; Juan Antonio Hernández-Tamames; Helena Melero; Sandra Rubio-Fernández; Israel Thuissard; Marta Cerezo-García
Journal:  J Neurol       Date:  2018-07-11       Impact factor: 4.849

6.  Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets.

Authors:  Merel C Postema; Martine Hoogman; Sara Ambrosino; Philip Asherson; Tobias Banaschewski; Cibele E Bandeira; Alexandr Baranov; Claiton H D Bau; Sarah Baumeister; Ramona Baur-Streubel; Mark A Bellgrove; Joseph Biederman; Janita Bralten; Daniel Brandeis; Silvia Brem; Jan K Buitelaar; Geraldo F Busatto; Francisco X Castellanos; Mara Cercignani; Tiffany M Chaim-Avancini; Kaylita C Chantiluke; Anastasia Christakou; David Coghill; Annette Conzelmann; Ana I Cubillo; Renata B Cupertino; Patrick de Zeeuw; Alysa E Doyle; Sarah Durston; Eric A Earl; Jeffery N Epstein; Thomas Ethofer; Damien A Fair; Andreas J Fallgatter; Stephen V Faraone; Thomas Frodl; Matt C Gabel; Tinatin Gogberashvili; Eugenio H Grevet; Jan Haavik; Neil A Harrison; Catharina A Hartman; Dirk J Heslenfeld; Pieter J Hoekstra; Sarah Hohmann; Marie F Høvik; Terry L Jernigan; Bernd Kardatzki; Georgii Karkashadze; Clare Kelly; Gregor Kohls; Kerstin Konrad; Jonna Kuntsi; Luisa Lazaro; Sara Lera-Miguel; Klaus-Peter Lesch; Mario R Louza; Astri J Lundervold; Charles B Malpas; Paulo Mattos; Hazel McCarthy; Leyla Namazova-Baranova; Rosa Nicolau; Joel T Nigg; Stephanie E Novotny; Eileen Oberwelland Weiss; Ruth L O'Gorman Tuura; Jaap Oosterlaan; Bob Oranje; Yannis Paloyelis; Paul Pauli; Felipe A Picon; Kerstin J Plessen; J Antoni Ramos-Quiroga; Andreas Reif; Liesbeth Reneman; Pedro G P Rosa; Katya Rubia; Anouk Schrantee; Lizanne J S Schweren; Jochen Seitz; Philip Shaw; Tim J Silk; Norbert Skokauskas; Juan C Soliva Vila; Michael C Stevens; Gustavo Sudre; Leanne Tamm; Fernanda Tovar-Moll; Theo G M van Erp; Alasdair Vance; Oscar Vilarroya; Yolanda Vives-Gilabert; Georg G von Polier; Susanne Walitza; Yuliya N Yoncheva; Marcus V Zanetti; Georg C Ziegler; David C Glahn; Neda Jahanshad; Sarah E Medland; Paul M Thompson; Simon E Fisher; Barbara Franke; Clyde Francks
Journal:  J Child Psychol Psychiatry       Date:  2021-03-22       Impact factor: 8.265

7.  Retinal layer thinning predicts treatment failure in relapsing multiple sclerosis.

Authors:  Gabriel Bsteh; Harald Hegen; Patrick Altmann; Michael Auer; Klaus Berek; Franziska Di Pauli; Fritz Leutmezer; Paulus Rommer; Sebastian Wurth; Anne Zinganell; Tobias Zrzavy; Florian Deisenhammer; Thomas Berger
Journal:  Eur J Neurol       Date:  2021-04-02       Impact factor: 6.089

8.  A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative Disease.

Authors:  Christian Rummel; Fabian Aschwanden; Richard McKinley; Franca Wagner; Anke Salmen; Andrew Chan; Roland Wiest
Journal:  Front Neurol       Date:  2018-01-24       Impact factor: 4.003

9.  Deep gray matter volume loss drives disability worsening in multiple sclerosis.

Authors:  Arman Eshaghi; Ferran Prados; Wallace J Brownlee; Daniel R Altmann; Carmen Tur; M Jorge Cardoso; Floriana De Angelis; Steven H van de Pavert; Niamh Cawley; Nicola De Stefano; M Laura Stromillo; Marco Battaglini; Serena Ruggieri; Claudio Gasperini; Massimo Filippi; Maria A Rocca; Alex Rovira; Jaume Sastre-Garriga; Hugo Vrenken; Cyra E Leurs; Joep Killestein; Lukas Pirpamer; Christian Enzinger; Sebastien Ourselin; Claudia A M Gandini Wheeler-Kingshott; Declan Chard; Alan J Thompson; Daniel C Alexander; Frederik Barkhof; Olga Ciccarelli
Journal:  Ann Neurol       Date:  2018-02-06       Impact factor: 10.422

10.  Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis.

Authors:  Christopher C Hemond; Renxin Chu; Subhash Tummala; Shahamat Tauhid; Brian C Healy; Rohit Bakshi
Journal:  Brain Behav       Date:  2018-07-18       Impact factor: 2.708

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.