The long term objective of this project is to improve the capability to monitor the inflammatory and neurodegenerative processes in Multiple Sclerosis (MS) for effective diagnosis and treatment. The specific goal of this research is to establish the time course of magnetic susceptibility of lesions as a sensitive probe of demyelination and iron content associated with inflammatory processes. Currently, gadolinium enhancement in conventional magnetic resonance imaging (MRI) is widely used to map inflammation caused by blood brain barrier (BBB) disruption during MS lesion formation. However, there is still inflammation in the brain after the BBB heals and currently there is no method in clinical practice to detect this inflammation behind the BBB. Our preliminary data demonstrates that the time course of lesion magnetic susceptibility as measured by quantitative susceptibility mapping (QSM) can detect lesion activity after the resolution of gadolinium enhancement. Accordingly, this proposed research will try to establish the existence of and gain a basic understanding of the time course of MS lesion susceptibility by carrying out three specific aims:
Aim 1 : Improve QSM scanning robustness and processing accuracy for reliable longitudinal measurement of susceptibility time course. We hypothesize that QSM can be improved to high reproducibility and accuracy of 0.01ppm (parts per million, susceptibility unit).
Aim 2 : Define the MS lesion magnetic susceptibility time course through prospective longitudinal study of the susceptibility of lesions at all ages, with spatiotemporal correlation of gadolinium enhancement measured by conventional MRI. We hypothesize that lesion susceptibility changes dynamically over time, even after inflammatory activity, as measured by conventional MRI, has subsided.
Aim 3 : Define the immunohistochemical correlates of MS lesion magnetic susceptibility using autopsied brain specimens from MS patients and controls. We hypothesize that the QSM signal of an MS lesion correlates in part with microglia/macrophages activation (i.e. inflammatory activity) and that the QSM value of a fully demyelinated lesion is determined by iron.

Public Health Relevance

The long term objective of this proposed research is to improve the management of Multiple Sclerosis (MS) patients by advancing our capability of probing the inflammatory and neurodegenerative processes in MS through the development of a noninvasive Quantitative Susceptibility Mapping (QSM) technique in MRI. The time course of MS lesion magnetic susceptibility is a promising biomarker for demyelination in inflammation and iron distribution in both inflammation and neurodegeneration. This research project will focus on establishing the lesion susceptibility time course using a longitudinal prospective study. This research will provide biomedical correlates using immunohistochemical analysis of MS brain specimens, in addition to gadolinium enhancement in longitudinal patient study. Successful outcome of this research will establish that QSM time course of MS is a valuable tool for monitoring the pathogenic process of MS for effective diagnosis and treatment of the more than two million MS patients worldwide.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS090464-05
Application #
9922392
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Utz, Ursula
Project Start
2015-04-01
Project End
2021-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
Nguyen, T D; Zhang, S; Gupta, A et al. (2018) Fast and Robust Unsupervised Identification of MS Lesion Change Using the Statistical Detection of Changes Algorithm. AJNR Am J Neuroradiol 39:830-833
Liu, Zhe; Spincemaille, Pascal; Yao, Yihao et al. (2018) MEDI+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping. Magn Reson Med 79:2795-2803
Zhang, Shun; Nguyen, Thanh D; Zhao, Yize et al. (2018) Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions. Neuroimage Clin 18:143-148
Wen, Yan; Nguyen, Thanh D; Liu, Zhe et al. (2018) Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation. Magn Reson Med 79:1545-1552
Gorman, Andrew W; Deh, Kofi M; Schwiedrzik, Caspar M et al. (2018) Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats. Comp Med 68:139-147
Gillen, Kelly M; Mubarak, Mayyan; Nguyen, Thanh D et al. (2018) Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions. Front Immunol 9:255
Deh, Kofi; Ponath, Gerald D; Molvi, Zaki et al. (2018) Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM. J Magn Reson Imaging 48:1281-1287
Yao, Y; Nguyen, T D; Pandya, S et al. (2018) Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions. AJNR Am J Neuroradiol 39:303-310
Cho, Junghun; Kee, Youngwook; Spincemaille, Pascal et al. (2018) Cerebral metabolic rate of oxygen (CMRO2 ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD). Magn Reson Med 80:1595-1604
Soman, S; Liu, Z; Kim, G et al. (2018) Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping. AJNR Am J Neuroradiol 39:648-653

Showing the most recent 10 out of 29 publications