Abstract

The goal of the proposed study is to enable quantitative MRI monitoring of individual multiple sclerosis (MS) patients in everyday clinical practice. Newer therapeutic approaches appear to diminish the activity and/or slow the progression of MS in some patients, but not in others. The pathogenesis of MS is likely not unique and differences in treatment response between patients should therefore be expected. The monitoring of individual MS patients' response to treatment will therefore increase in significance, as new treatment options become available. We therefore propose to establish a standardized benchmark for the evaluation of MS progression not only in patient cohorts, in the context of clinical trials, but also for individual patients, in clinical practice specifically shall: 1) Expand a validated quantitative MRI method to incorporate newer NM techniques; 2) Discriminate and characterize active and chronic lesions using multiple MRI techniques; 3) Identify NM measures of disease activity and disease progression: 4) Define a standardized benchmark NM protocol for the quantitative follow-up of individual MS patients in clinical practice.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
1P41RR013218-01
Application #
6123561
Study Section
Project Start
1998-09-30
Project End
1999-07-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
1
Fiscal Year
1998
Total Cost
Indirect Cost

  Institution

Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Saito, Yukiko; Kubicki, Marek; Koerte, Inga et al. (2018) Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia. Brain Imaging Behav 12:229-237
Gallardo, Guillermo; Wells 3rd, William; Deriche, Rachid et al. (2018) Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach. Neuroimage 170:307-320
Schabdach, Jenna; Wells 3rd, William M; Cho, Michael et al. (2017) A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. Inf Process Med Imaging 10265:170-183
Wachinger, Christian; Brennan, Matthew; Sharp, Greg C et al. (2017) Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans Biomed Eng 64:1492-1502
Chen, Yongxin; Georgiou, Tryphon; Pavon, Michele et al. (2017) Robust transport over networks. IEEE Trans Automat Contr 62:4675-4682
Ohtani, Toshiyuki; Nestor, Paul G; Bouix, Sylvain et al. (2017) Exploring the neural substrates of attentional control and human intelligence: Diffusion tensor imaging of prefrontal white matter tractography in healthy cognition. Neuroscience 341:52-60
Nilsson, Markus; Lasi?, Samo; Drobnjak, Ivana et al. (2017) Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion. NMR Biomed 30:
Ratner, Vadim; Gao, Yi; Lee, Hedok et al. (2017) Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. Neuroimage 152:530-537
Sastry, Rahul; Bi, Wenya Linda; Pieper, Steve et al. (2017) Applications of Ultrasound in the Resection of Brain Tumors. J Neuroimaging 27:5-15
Chen, Yongxin; Georgiou, Tryphon T; Ning, Lipeng et al. (2017) Matricial Wasserstein-1 Distance. IEEE Control Syst Lett 1:14-19

Showing the most recent 10 out of 507 publications