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Items: 1 to 20 of 209

1.

Measurement of Whole-Brain and Gray Matter Atrophy in Multiple Sclerosis: Assessment with MR Imaging.

Storelli L, Rocca MA, Pagani E, Van Hecke W, Horsfield MA, De Stefano N, Rovira A, Sastre-Garriga J, Palace J, Sima D, Smeets D, Filippi M; MAGNIMS Study Group.

Radiology. 2018 Aug;288(2):554-564. doi: 10.1148/radiol.2018172468. Epub 2018 May 1.

PMID:
29714673
2.

Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy.

Steenwijk MD, Amiri H, Schoonheim MM, de Sitter A, Barkhof F, Pouwels PJW, Vrenken H.

Neuroimage Clin. 2017 Jun 30;15:843-853. doi: 10.1016/j.nicl.2017.06.034. eCollection 2017.

3.

SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI.

Battaglini M, Jenkinson M, De Stefano N; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2018 Mar;39(3):1063-1077. doi: 10.1002/hbm.23828. Epub 2017 Dec 8.

PMID:
29222814
4.

Repeatability and reproducibility of FreeSurfer, FSL-SIENAX and SPM brain volumetric measurements and the effect of lesion filling in multiple sclerosis.

Guo C, Ferreira D, Fink K, Westman E, Granberg T.

Eur Radiol. 2019 Mar;29(3):1355-1364. doi: 10.1007/s00330-018-5710-x. Epub 2018 Sep 21.

5.

Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks.

Popescu V, Ran NC, Barkhof F, Chard DT, Wheeler-Kingshott CA, Vrenken H.

Neuroimage Clin. 2014 Jan 18;4:366-73. doi: 10.1016/j.nicl.2014.01.004. eCollection 2014.

6.

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

Lysandropoulos AP, Absil J, Metens T, Mavroudakis N, Guisset F, Van Vlierberghe E, Smeets D, David P, Maertens A, Van Hecke W.

Brain Behav. 2016 Jan 12;6(2):e00422. doi: 10.1002/brb3.422. eCollection 2016 Feb.

7.

Improved longitudinal gray and white matter atrophy assessment via application of a 4-dimensional hidden Markov random field model.

Dwyer MG, Bergsland N, Zivadinov R.

Neuroimage. 2014 Apr 15;90:207-17. doi: 10.1016/j.neuroimage.2013.12.004. Epub 2013 Dec 12.

PMID:
24333394
8.

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

Jain S, Sima DM, Ribbens A, Cambron M, Maertens A, Van Hecke W, De Mey J, Barkhof F, Steenwijk MD, Daams M, Maes F, Van Huffel S, Vrenken H, Smeets D.

Neuroimage Clin. 2015 May 16;8:367-75. doi: 10.1016/j.nicl.2015.05.003. eCollection 2015.

9.

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

Biberacher V, Schmidt P, Keshavan A, Boucard CC, Righart R, Sämann P, Preibisch C, Fröbel D, Aly L, Hemmer B, Zimmer C, Henry RG, Mühlau M.

Neuroimage. 2016 Nov 15;142:188-197. doi: 10.1016/j.neuroimage.2016.07.035. Epub 2016 Jul 16.

PMID:
27431758
10.

White matter lesion filling improves the accuracy of cortical thickness measurements in multiple sclerosis patients: a longitudinal study.

Magon S, Gaetano L, Chakravarty MM, Lerch JP, Naegelin Y, Stippich C, Kappos L, Radue EW, Sprenger T.

BMC Neurosci. 2014 Sep 8;15:106. doi: 10.1186/1471-2202-15-106.

11.

Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients.

Nakamura K, Fisher E.

Neuroimage. 2009 Feb 1;44(3):769-76. doi: 10.1016/j.neuroimage.2008.09.059. Epub 2008 Oct 22.

12.

Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling.

Valverde S, Oliver A, Roura E, Pareto D, Vilanova JC, Ramió-Torrentà L, Sastre-Garriga J, Montalban X, Rovira À, Lladó X.

Neuroimage Clin. 2015 Oct 28;9:640-7. doi: 10.1016/j.nicl.2015.10.012. eCollection 2015.

13.

Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI.

Meier DS, Guttmann CRG, Tummala S, Moscufo N, Cavallari M, Tauhid S, Bakshi R, Weiner HL.

J Neuroimaging. 2018 Jan;28(1):36-47. doi: 10.1111/jon.12491. Epub 2017 Dec 13.

14.

Association Between Thoracic Spinal Cord Gray Matter Atrophy and Disability in Multiple Sclerosis.

Schlaeger R, Papinutto N, Zhu AH, Lobach IV, Bevan CJ, Bucci M, Castellano A, Gelfand JM, Graves JS, Green AJ, Jordan KM, Keshavan A, Panara V, Stern WA, von Büdingen HC, Waubant E, Goodin DS, Cree BA, Hauser SL, Henry RG.

JAMA Neurol. 2015 Aug;72(8):897-904. doi: 10.1001/jamaneurol.2015.0993.

15.

Unraveling the relationship between regional gray matter atrophy and pathology in connected white matter tracts in long-standing multiple sclerosis.

Steenwijk MD, Daams M, Pouwels PJ, J Balk L, Tewarie PK, Geurts JJ, Barkhof F, Vrenken H.

Hum Brain Mapp. 2015 May;36(5):1796-807. doi: 10.1002/hbm.22738. Epub 2015 Jan 27.

PMID:
25627545
16.

Assessing Biological and Methodological Aspects of Brain Volume Loss in Multiple Sclerosis.

Andorra M, Nakamura K, Lampert EJ, Pulido-Valdeolivas I, Zubizarreta I, Llufriu S, Martinez-Heras E, Sola-Valls N, Sepulveda M, Tercero-Uribe A, Blanco Y, Saiz A, Villoslada P, Martinez-Lapiscina EH.

JAMA Neurol. 2018 Oct 1;75(10):1246-1255. doi: 10.1001/jamaneurol.2018.1596.

17.

Fast whole-brain three-dimensional macromolecular proton fraction mapping in multiple sclerosis.

Yarnykh VL, Bowen JD, Samsonov A, Repovic P, Mayadev A, Qian P, Gangadharan B, Keogh BP, Maravilla KR, Jung Henson LK.

Radiology. 2015 Jan;274(1):210-20. doi: 10.1148/radiol.14140528. Epub 2014 Sep 10.

18.

Leveraging Clinical Imaging Archives for Radiomics: Reliability of Automated Methods for Brain Volume Measurement.

Adduru VR, Michael AM, Helguera M, Baum SA, Moore GJ.

Radiology. 2017 Sep;284(3):862-869. doi: 10.1148/radiol.2017161928. Epub 2017 Apr 27.

PMID:
28448234
19.

Intercenter agreement of brain atrophy measurement in multiple sclerosis patients using manually-edited SIENA and SIENAX.

Jasperse B, Valsasina P, Neacsu V, Knol DL, De Stefano N, Enzinger C, Smith SM, Ropele S, Korteweg T, Giorgio A, Anderson V, Polman CH, Filippi M, Miller DH, Rovaris M, Barkhof F, Vrenken H; Magnetic Imaging in Multiple Sclerosis (MAGNIMS) study group.

J Magn Reson Imaging. 2007 Oct;26(4):881-5.

PMID:
17896359
20.

Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques.

Durand-Dubief F, Belaroussi B, Armspach JP, Dufour M, Roggerone S, Vukusic S, Hannoun S, Sappey-Marinier D, Confavreux C, Cotton F.

AJNR Am J Neuroradiol. 2012 Nov;33(10):1918-24. doi: 10.3174/ajnr.A3107. Epub 2012 Jul 12.

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