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Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis

Mishkin Derakhshan, Zografos Caramanos, Paul S. Giacomini, Sridar Narayanan, Josefina Maranzano, Simon J. Francis, Douglas L. Arnold, D. Louis Collins
2010 NeuroImage  
Several methods exist and are frequently used to quantify grey matter (GM) atrophy in multiple sclerosis (MS).  ...  Fundamental to all available techniques is the accurate segmentation of GM in the brain, a difficult task confounded even further by the pathology present in the brains of MS patients.  ...  STAPLE is supported in part by NIH R01 RR021885 from the National Center for Research Resources and by an award from the Neuroscience Blueprint I/C through R01 EB008015 from the National Institute of Biomedical  ... 
doi:10.1016/j.neuroimage.2010.05.029 pmid:20483380 fatcat:u4osqpdyafh6rffmeo5jv3ck4u

Quantitative magnetic resonance assessment of brain atrophy related to selected aspects of disability in patients with multiple sclerosis: preliminary results

Ewelina Marciniewicz, Anna Pokryszko-Dragan, Przemysław Podgórski, Krzysztof Małyszczak, Anna Zimny, Anna Kołtowska, Sławomir Budrewicz, Marek Sąsiadek, Joanna Bladowska
2019 Polish Journal of Radiology  
The aim of this volumetric study was to evaluate the relationship between brain atrophy quantification in multiple sclerosis (MS) patients and the progression of disability measured by neurological standardised  ...  Grey matter atrophy is associated with the degree of disability in MS patients.  ...  ., in their study, suggested an association between cortical and deep grey matter atrophy and the development of fatigue in relapsing-remitting multiple sclerosis.  ... 
doi:10.5114/pjr.2019.84274 pmid:31481987 pmcid:PMC6717938 fatcat:x4pemc6kcvanre4lr7cfeojbji

Brain atrophy: an in-vivo measure of disease activity in multiple sclerosis

EW Radü, K Bendfeldt, N Mueller-Lenke, S Magon, T Sprenger
2013 Swiss Medical Weekly  
Grey matter atrophy occurs in the earliest stages of MS, progresses faster than in healthy individuals, and shows significant correlations with MRI lesion load, cognitive function and measures of physical  ...  image evaluation, using normalisation, of atrophy SIENAX SIENA cross-sectional SPMS secondary progressive multiple sclerosis VBM voxel-based morphometry niques and advances in software development offer  ...  Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis.  ... 
doi:10.4414/smw.2013.13887 pmid:24264439 fatcat:tbapt5zqzrdbldvmiecwn67biy

Automated quantification of deep grey matter structures and white matter lesions using magnetic resonance imaging in relapsing remission multiple sclerosis

Mina Rizkallah, Mohamed Hefida, Mohamed Khalil, Rasha Mahmoud Dawoud
2021 The Egyptian Journal of Radiology and Nuclear Medicine  
The aim of our study was to evaluate the role of automated segmentation and quantification of deep grey matter structures and white matter lesions in Relapsing Remitting Multiple Sclerosis patients using  ...  Results All the patients in our study showed relative atrophy of the thalamus and the putamen bilaterally when compared with the normal control group.  ...  Acknowledgements To all the participants for their cooperation and patience.  ... 
doi:10.1186/s43055-021-00582-2 fatcat:ixzun2dfrfcsfcsxwdhyy45wsy

Has your patient's multiple sclerosis lesion burden or brain atrophy actually changed?

Xingchang Wei, Charles RG Guttmann, Simon K Warfield, Michael Eliasziw, J Ross Mitchell
2004 Multiple Sclerosis  
In this paper, we estimated the measurement error of an automated brain tissue quantification algorithm and determined the thresholds for statistically significant change of MRI-derived T2 lesion volume  ...  Changes in mean magnetic resonance imaging (MRI)-derived measurements between patient groups are often used to determine outcomes in therapeutic trials and other longitudinal studies of multiple sclerosis  ...  Acknowledgements This study was partially supported by grants from National Institutes of Health (Contract grant numbers: P41RR013218, R01NS035142, R44MH057200  ... 
doi:10.1191/1352458504ms1061oa pmid:15327037 fatcat:z44denpmbjfkhp2iuttxhbqody

Role of MRI in multiple sclerosis II: brain and spinal cord atrophy

Robert Zivadinov
2004 Frontiers in Bioscience  
Bakshi from the National Institutes of Health (NIH-NINDS 1 K23 NS42379-01), National Multiple Sclerosis Society (RG 3258A2/1), and National Science Foundation (DBI-0234895).  ...  ACKNOWLEDGEMENTS This work was supported in part by research grants to R.  ...  . normal individuals Figure 4 . 4 Regional brain atrophy measurement of the frontal lobes in a patient with relapsing-remitting multiple sclerosis.  ... 
doi:10.2741/1262 pmid:14766398 fatcat:67wwqirdpvhdhcygbpezwyeidq

Advances in spinal cord imaging in multiple sclerosis

Marcello Moccia, Serena Ruggieri, Antonio Ianniello, Ahmed Toosy, Carlo Pozzilli, Olga Ciccarelli
2019 Therapeutic Advances in Neurological Disorders  
Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies.  ...  Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques.  ...  on PSIR images at 3T allows the evaluation of grey matter atrophy in MS.  ... 
doi:10.1177/1756286419840593 pmid:31040881 pmcid:PMC6477770 fatcat:y7t62qvf3fd47c5q76kvr47csm


Dr. Hassan Bukhari, Dr. Saeeda, Dr. Mohammad Tahir
2018 Zenodo  
Objective: To determine the accuracy of hippocampal quantitative (volumetric) assessment in diagnosing hippocampal atrophy in patients with temporal lobe epilepsy by comparing it with qualitative (visual  ...  Conclusion: We can conclude that MRI based hippocampal volumetric assessment is a valuable tool for the detection of hippocampal atrophy in patients with refractory temporal lobe epilepsy who are candidates  ...  Multiple similar studies have been done in the past to evaluate various MR techniques and methods.  ... 
doi:10.5281/zenodo.1745479 fatcat:kgz7cxagz5c4db7ss23bfb7xqy

Automated brain volumetrics in multiple sclerosis: a step closer to clinical application

C Wang, H N Beadnall, S N Hatton, G Bader, D Tomic, D G Silva, M H Barnett
2016 Journal of Neurology, Neurosurgery and Psychiatry  
We compare Structural Image Evaluation using Normalisation of Atrophy-Cross-sectional (SIENAX) to NeuroQuant and MSmetrix, for assessment of cross-sectional WBV in patients with MS.  ...  Whole brain volume (WBV) estimates in patients with multiple sclerosis (MS) correlate more robustly with clinical disability than traditional, lesionbased metrics.  ...  Acknowledgements The authors would like to thank patients from whom MRIs  ... 
doi:10.1136/jnnp-2015-312304 pmid:27071647 pmcid:PMC4941129 fatcat:4uty3bs2ujfahfhuota7l5ifzm

MRI in the Diagnosis and Monitoring of Multiple Sclerosis: An Update

M. P. Wattjes, M. D. Steenwijk, M. Stangel
2015 Clinical Neuroradiology  
emphasis to treatment efficacy and safety, both in clinical practice and in research.  ...  Acknowledgement The authors wish to thank Iris D. Kilsdonk for providing figure 3 and 4.  ...  primary progressive multiple sclerosis (PPMS) patient, disease duration of 7 years, EDSS of 4 patients presenting with a CIS suggestive of MS, the 2010 revisions of the McDonald criteria allow for the  ... 
doi:10.1007/s00062-015-0430-y pmid:26198879 fatcat:wbgyptzbrncaxozj6mxk3z274q

MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice

Jaume Sastre-Garriga, on behalf of the MAGNIMS study group, Deborah Pareto, Marco Battaglini, Maria A. Rocca, Olga Ciccarelli, Christian Enzinger, Jens Wuerfel, Maria P. Sormani, Frederik Barkhof, Tarek A. Yousry, Nicola De Stefano (+10 others)
2020 Nature Reviews Neurology  
Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS).  ...  The effects of these neurodegenerative processes at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI.  ...  sclerosis; RRMS, relapsing-remitting multiple sclerosis; SC, subcutaneous; SIENA , Structural Image Evaluation, using Normalization, of Atrophy ; SPMS, secondary progressive multiple sclerosis. a Includes  ... 
doi:10.1038/s41582-020-0314-x pmid:32094485 pmcid:PMC7054210 fatcat:r7fo7fskzngrhlzaoxoffgyyaq

Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI

Houshang Amiri, Alexandra de Sitter, Kerstin Bendfeldt, Marco Battaglini, Claudia A.M. Gandini Wheeler-Kingshott, Massimiliano Calabrese, Jeroen J.G. Geurts, Maria A. Rocca, Jaume Sastre-Garriga, Christian Enzinger, Nicola de Stefano, Massimo Filippi (+3 others)
2018 NeuroImage: Clinical  
Atrophy of the brain grey matter (GM) is an accepted and important feature of multiple sclerosis (MS).  ...  In this paper we discuss the most important challenges currently hampering the measurement and interpretation of GM atrophy in MS.  ...  Acknowledgements This paper is the outcome of the MAGNIMS workshop "Measuring cortical and deep gray matter atrophy in MS", which was kindly supported by the Multiple Sclerosis International Federation  ... 
doi:10.1016/j.nicl.2018.04.023 pmid:29984155 pmcid:PMC6030805 fatcat:7m5lmrq4i5euxlru5rkgrivwru

The Role of T1-Weighted Derived Measures of Neurodegeneration for Assessing Disability Progression in Multiple Sclerosis

Maria A. Rocca, Giancarlo Comi, Massimo Filippi
2017 Frontiers in Neurology  
The results for brain white matter atrophy are less consistently positive, whereas studies evaluating spinal cord atrophy consistently showed a significant correlation with disability.  ...  Most, although not all, have shown that there is a significant correlation between disability and black holes in the brain, as well as atrophy of the whole brain and grey matter.  ...  and diffuse damage to the grey matter (GM) of the brain and spinal cord (3, 4) .  ... 
doi:10.3389/fneur.2017.00433 pmid:28928705 pmcid:PMC5591328 fatcat:le2wigczabca3krur6ozbrs3ke

FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis

O. Goodkin, F. Prados, S.B. Vos, H. Pemberton, S. Collorone, M.H.J. Hagens, M.J. Cardoso, T.A. Yousry, J.S. Thornton, C.H. Sudre, F. Barkhof
2020 NeuroImage: Clinical  
MRI assessment in multiple sclerosis (MS) focuses on the presence of typical white matter (WM) lesions.  ...  However, T1-weighted scans are not routinely included in the clinical MS protocol, limiting the utility of automated quantification.  ...  Acknowledgements OG is supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre.  ... 
doi:10.1016/j.nicl.2020.102542 pmid:33418171 pmcid:PMC7804983 fatcat:hrg7djmrvfhhbg6gxjcabbbnae

The clinico-radiological paradox of cognitive function and MRI burden of white matter lesions in people with multiple sclerosis: A systematic review and meta-analysis

Daisy Mollison, Robin Sellar, Mark Bastin, Denis Mollison, Siddharthan Chandran, Joanna Wardlaw, Peter Connick, Orhan Aktas
2017 PLoS ONE  
Moderate correlation exists between the imaging quantification of brain white matter lesions and cognitive performance in people with multiple sclerosis (MS).  ...  This may reflect the greater importance of other features, including subvisible pathology, or methodological limitations of the primary literature.  ...  Quality and quantity of diffuse and focal white matter disease and cognitive disability of patients with multiple sclerosis.  ... 
doi:10.1371/journal.pone.0177727 pmid:28505177 pmcid:PMC5432109 fatcat:dlxdjq6uq5frpn4mtbrljckrqq
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