175 related articles for article (PubMed ID: 37373196)
1. CSF Markers of Oxidative Stress Are Associated with Brain Atrophy and Iron Accumulation in a 2-Year Longitudinal Cohort of Early MS.
Burgetova A; Dusek P; Uher T; Vaneckova M; Vejrazka M; Burgetova R; Horakova D; Srpova B; Kalousova M; Noskova L; Levova K; Krasensky J; Lambert L
Int J Mol Sci; 2023 Jun; 24(12):. PubMed ID: 37373196
[TBL] [Abstract][Full Text] [Related]
2. Oxidative Stress Markers in Cerebrospinal Fluid of Newly Diagnosed Multiple Sclerosis Patients and Their Link to Iron Deposition and Atrophy.
Burgetova A; Dusek P; Uher T; Vaneckova M; Vejrazka M; Burgetova R; Horakova D; Srpova B; Krasensky J; Lambert L
Diagnostics (Basel); 2022 Jun; 12(6):. PubMed ID: 35741175
[TBL] [Abstract][Full Text] [Related]
3. Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis.
Voon CC; Wiltgen T; Wiestler B; Schlaeger S; Mühlau M
Neuroimage Clin; 2024; 42():103598. PubMed ID: 38582068
[TBL] [Abstract][Full Text] [Related]
4. Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI.
Schweser F; Hagemeier J; Dwyer MG; Bergsland N; Hametner S; Weinstock-Guttman B; Zivadinov R
Hum Brain Mapp; 2021 Apr; 42(5):1463-1474. PubMed ID: 33378095
[TBL] [Abstract][Full Text] [Related]
5. Changes of deep gray matter magnetic susceptibility over 2 years in multiple sclerosis and healthy control brain.
Hagemeier J; Zivadinov R; Dwyer MG; Polak P; Bergsland N; Weinstock-Guttman B; Zalis J; Deistung A; Reichenbach JR; Schweser F
Neuroimage Clin; 2018; 18():1007-1016. PubMed ID: 29868452
[TBL] [Abstract][Full Text] [Related]
6. Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis.
Fujiwara E; Kmech JA; Cobzas D; Sun H; Seres P; Blevins G; Wilman AH
AJNR Am J Neuroradiol; 2017 May; 38(5):942-948. PubMed ID: 28232497
[TBL] [Abstract][Full Text] [Related]
7. Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis.
Cobzas D; Sun H; Walsh AJ; Lebel RM; Blevins G; Wilman AH
J Magn Reson Imaging; 2015 Dec; 42(6):1601-10. PubMed ID: 25980643
[TBL] [Abstract][Full Text] [Related]
8. Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study.
Pontillo G; Cocozza S; Lanzillo R; Russo C; Stasi MD; Paolella C; Vola EA; Criscuolo C; Borrelli P; Palma G; Tedeschi E; Morra VB; Elefante A; Brunetti A
AJNR Am J Neuroradiol; 2019 Jan; 40(1):99-106. PubMed ID: 30573464
[TBL] [Abstract][Full Text] [Related]
9. Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis.
Reeves JA; Bergsland N; Dwyer MG; Wilding GE; Jakimovski D; Salman F; Sule B; Meineke N; Weinstock-Guttman B; Zivadinov R; Schweser F
Neuroimage; 2022 Nov; 261():119503. PubMed ID: 35878723
[TBL] [Abstract][Full Text] [Related]
10. Clinical correlates of R1 relaxometry and magnetic susceptibility changes in multiple sclerosis: a multi-parameter quantitative MRI study of brain iron and myelin.
Pontillo G; Petracca M; Monti S; Quarantelli M; Lanzillo R; Costabile T; Carotenuto A; Tortora F; Elefante A; Morra VB; Brunetti A; Palma G; Cocozza S
Eur Radiol; 2023 Mar; 33(3):2185-2194. PubMed ID: 36241917
[TBL] [Abstract][Full Text] [Related]
11. Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis.
Pontillo G; Petracca M; Monti S; Quarantelli M; Criscuolo C; Lanzillo R; Tedeschi E; Elefante A; Brescia Morra V; Brunetti A; Cocozza S; Palma G
AJNR Am J Neuroradiol; 2021 Jul; 42(7):1223-1230. PubMed ID: 33888456
[TBL] [Abstract][Full Text] [Related]
12. Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.
Lim IA; Faria AV; Li X; Hsu JT; Airan RD; Mori S; van Zijl PC
Neuroimage; 2013 Nov; 82():449-69. PubMed ID: 23769915
[TBL] [Abstract][Full Text] [Related]
13. Brain iron assessment in patients with First-episode schizophrenia using quantitative susceptibility mapping.
Xu M; Guo Y; Cheng J; Xue K; Yang M; Song X; Feng Y; Cheng J
Neuroimage Clin; 2021; 31():102736. PubMed ID: 34186296
[TBL] [Abstract][Full Text] [Related]
14. Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability.
Chu R; Hurwitz S; Tauhid S; Bakshi R
BMC Neurol; 2017 Sep; 17(1):172. PubMed ID: 28874119
[TBL] [Abstract][Full Text] [Related]
15. Iron-Insensitive Quantitative Assessment of Subcortical Gray Matter Demyelination in Multiple Sclerosis Using the Macromolecular Proton Fraction.
Yarnykh VL; Krutenkova EP; Aitmagambetova G; Repovic P; Mayadev A; Qian P; Jung Henson LK; Gangadharan B; Bowen JD
AJNR Am J Neuroradiol; 2018 Apr; 39(4):618-625. PubMed ID: 29439122
[TBL] [Abstract][Full Text] [Related]
16. Evaluating iron deposition in gray matter nuclei of patients with unilateral middle cerebral artery stenosis using quantitative susceptibility mapping.
Mao H; Dou W; Chen K; Wang X; Wang X; Guo Y; Zhang C
Neuroimage Clin; 2022; 34():103021. PubMed ID: 35500369
[TBL] [Abstract][Full Text] [Related]
17. Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls.
Elkady AM; Cobzas D; Sun H; Seres P; Blevins G; Wilman AH
Mult Scler Relat Disord; 2019 Aug; 33():107-115. PubMed ID: 31181540
[TBL] [Abstract][Full Text] [Related]
18. Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelines.
Chu R; Kim G; Tauhid S; Khalid F; Healy BC; Bakshi R
PLoS One; 2018; 13(11):e0206939. PubMed ID: 30408094
[TBL] [Abstract][Full Text] [Related]
19. Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: a case-control study.
Zivadinov R; Heininen-Brown M; Schirda CV; Poloni GU; Bergsland N; Magnano CR; Durfee J; Kennedy C; Carl E; Hagemeier J; Benedict RH; Weinstock-Guttman B; Dwyer MG
Neuroimage; 2012 Jan; 59(1):331-9. PubMed ID: 21820063
[TBL] [Abstract][Full Text] [Related]
20. The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosis.
Lie IA; Kerklingh E; Wesnes K; van Nederpelt DR; Brouwer I; Torkildsen Ø; Myhr KM; Barkhof F; Bø L; Vrenken H
Eur Radiol; 2022 May; 32(5):3576-3587. PubMed ID: 34978580
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]