Literature DB >> 9443486

Effect of training and different measurement strategies on the reproducibility of brain MRI lesion load measurements in multiple sclerosis.

M Filippi1, M L Gawne-Cain, C Gasperini, J H vanWaesberghe, J Grimaud, F Barkhof, M P Sormani, D H Miller.   

Abstract

In this study, we evaluated the intra- and interobserver variabilities in measuring lesion load of brain MRI abnormalities present on proton-density scans from patients with MS, using using both manual outlining or a semiautomated local thresholding technique (LTT). We also evaluated how these variabilities were affected by the use of standard rules for lesion load measurements, training, and different measurement strategies. The intraobserver variabilities obtained after establishing rules for lesion load measurements and training were not significantly different from those obtained before any consensus among the observers, both for manual outlining and for the LTT. On the contrary, the interobserver variabilities obtained with manual outlining or the LTT were significantly reduced when rules for lesion load measurements were used. For manual outlining, the intraobserver variability did not significantly change when the measurements were performed after an experienced radiologist identified lesions or when using adjacent slices and the corresponding T2-weighted images as reference for lesion identification. On the contrary, for the LTT, the intraobserver variability was significantly reduced by the use of the radiologic marking. The interobserver variabilities for both manual outlining and the LTT were reduced compared with the free condition when these measurement strategies were used. Our findings demonstrate that both lesion identification and outlining are important sources of variation for MRI lesion load measurements in MS and that there are simple strategies to reduce such variation that might be useful when planning clinical trials.

Entities:  

Mesh:

Year:  1998        PMID: 9443486     DOI: 10.1212/wnl.50.1.238

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  15 in total

Review 1.  MRI monitoring of immunomodulation in relapse-onset multiple sclerosis trials.

Authors:  Frederik Barkhof; Jack H Simon; Franz Fazekas; Marco Rovaris; Ludwig Kappos; Nicola de Stefano; Chris H Polman; John Petkau; Ernst W Radue; Maria P Sormani; David K Li; Paul O'Connor; Xavier Montalban; David H Miller; Massimo Filippi
Journal:  Nat Rev Neurol       Date:  2011-12-06       Impact factor: 42.937

Review 2.  Multicentre imaging measurements for oncology and in the brain.

Authors:  P S Tofts; D J Collins
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

3.  Interobserver agreement on the radiological criteria of the International Panel on the diagnosis of multiple sclerosis.

Authors:  Tijmen Korteweg; Bernard M J Uitdehaag; Dirk L Knol; Robin H M Smithuis; Paul R Algra; Cees de Vries; Peter A Poppe; Jan-Hein T M van Waesberghe; Elisabeth Bergers; Geert J Lycklama à Nijeholt; Chris H Polman; Frederik Barkhof
Journal:  Eur Radiol       Date:  2006-05-18       Impact factor: 5.315

4.  Longitudinal evaluation of clinically early relapsing-remitting multiple sclerosis with diffusion tensor imaging.

Authors:  Waqar Rashid; Andreas Hadjiprocopis; Gerard Davies; Collette Griffin; Declan Chard; Michaela Tiberio; Dan Altmann; Claudia Wheeler-Kingshott; Dan Tozer; Alan Thompson; David H Miller
Journal:  J Neurol       Date:  2008-03-20       Impact factor: 4.849

5.  Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes.

Authors:  Andrei Irimia; Micah C Chambers; Jeffry R Alger; Maria Filippou; Marcel W Prastawa; Bo Wang; David A Hovda; Guido Gerig; Arthur W Toga; Ron Kikinis; Paul M Vespa; John D Van Horn
Journal:  J Neurotrauma       Date:  2011-09-21       Impact factor: 5.269

6.  Are Periventricular Lesions Specific for Multiple Sclerosis?

Authors:  Gianna Casini; Mary Yurashevich; Rohini Vanga; Subasini Dash; Suhayl Dhib-Jalbut; Brian Gerhardstein; Matilde Inglese; Win Toe; Konstantin E Balashov
Journal:  J Neurol Neurophysiol       Date:  2013-05-03

7.  Chronic multiple sclerosis lesions: characterization with high-field-strength MR imaging.

Authors:  Bing Yao; Francesca Bagnato; Eiji Matsuura; Hellmut Merkle; Peter van Gelderen; Fredric K Cantor; Jeff H Duyn
Journal:  Radiology       Date:  2011-11-14       Impact factor: 11.105

Review 8.  Guidelines from The Italian Neurological and Neuroradiological Societies for the use of magnetic resonance imaging in daily life clinical practice of multiple sclerosis patients.

Authors:  Massimo Filippi; Maria A Rocca; Stefano Bastianello; Giancarlo Comi; Paolo Gallo; Massimo Gallucci; Angelo Ghezzi; Maria Giovanna Marrosu; Giorgio Minonzio; Patrizia Pantano; Carlo Pozzilli; Gioacchino Tedeschi; Maria Trojano; Andrea Falini; Nicola De Stefano
Journal:  Neurol Sci       Date:  2013-07-05       Impact factor: 3.307

9.  Apolipoprotein E genotype related differences in brain lesions of multiple sclerosis.

Authors:  F Fazekas; S Strasser-Fuchs; H Schmidt; C Enzinger; S Ropele; A Lechner; E Flooh; R Schmidt; H P Hartung
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-07       Impact factor: 10.154

10.  Tissue-specific imaging is a robust methodology to differentiate in vivo T1 black holes with advanced multiple sclerosis-induced damage.

Authors:  M Riva; V N Ikonomidou; J J Ostuni; P van Gelderen; S Auh; J M Ohayon; F Tovar-Moll; N D Richert; J H Duyn; F Bagnato
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-30       Impact factor: 3.825

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