How to Increase Diagnostic Specificity in
Neuroradiology with New MR Techniques: A Case-Based Approach to MR
Spectroscopy, Perfusion, and Diffusion
January 16,
2008 12:30 pm
Radiology Conference
Room N2E14C
Meng
Law, MD, MBBS, is an associate professor of neurosurgery and radiology at the
Mount Sinai School of Medicine (
Dr.
Law’s current research focuses on advanced MR neuroimaging techniques,
including approaches that monitor therapy and predict outcomes and survival.
His work with molecular imaging and ultra-high-field 3T and 7T MR imaging is
targeted at identifying markers of hypoxia, angiogenesis, and gene expression
and at characterization of tumoral microvasculature and microstructure. Among
his numerous recent publications are:
1. Lui YW, Law M, Chacko-Mathew
J, et al. Brainstem corticospinal tract
diffusion tensor imaging in patients with primary posterior fossa neoplasms
stratified by tumor type: a study of association with motor weakness and
outcome. Neurosurgery. 2007;61:1199–1207; discussion 1207–1208.
2. Lu G, Pollack E, Young R…Law M. Predicting
grade of cerebral glioma using
vascular-space occupancy MR imaging. AJNR Am J
Neuroradiol. 2007. E-published on November 1 ahead of print.
3. Young R, Babb J, Law M, Pollack E,
Johnson G. Comparison of region-of-interest analysis with three different histogram
analysis methods in the determination of perfusion metrics in patients with
brain gliomas. J Magn Reson Imaging. 2007;26:1053–1063.
4. Pollack E, Bhaya A, Law M. Differentiating
intracranial aspergillosis from a high-grade
glioma using MRI and MR spectroscopic imaging.
J Neuroimaging. 2007;17:361–366.
5. Lin K, Kazmi KS, Law M, Babb
J, Peccerelli N, Pramanik BK. Measuring
elevated microvascular permeability and predicting hemorrhagic transformation
in acute ischemic stroke using first-pass dynamic perfusion CT imaging. AJNR Am J Neuroradiol. 2007;28:1292–1298.
6. Lu H, Law M, Ge Y, et
al. Quantitative measurement of spinal cord blood volume in humans using
vascular-space-occupancy MRI. NMR Biomed. 2007;
e-published on June 7 ahead of print.
7. Law M. Brodsky JE, Babb
J, et al. High cerebral blood volume in human gliomas predicts deletion of
chromosome 1p: Preliminary results of molecular studies in gliomas with
elevated perfusion. J Magn Reson Imaging.
2007;25:1113–1119.
8. Saindane AM, Law M, Ge
Y, Johnson G, Babb JS,
9. Law M, Young R, Babb J, Pollack E, Johnson G. Histogram
analysis versus region of interest analysis of dynamic susceptibility contrast
perfusion MR imaging data in the grading of cerebral gliomas. AJNR Am J
Neuroradiol. 2007;28:761–766.
10. Gauvrit JY, Law M, Xu J, Carson R, Sunenshine P, Chen Q. Time-resolved MR
angiography: optimal parallel imaging method. AJNR Am J Neuroradiol. 2007;28:835–838.
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About Diagnostic Radiology Grand Rounds and CME Credit
Targeted audience: health care providers
Learning objectives:
(1) To review how state-of-the-art
imaging of brain tumors, such as MR spectroscopy, perfusion, and diffusion
tensor, imaging can be used clinical practice;
(2) To understand how to increase
our diagnostic accuracy and specificity for differentiating tumoral from
nontumoral diseases, such as ischemia, encephalitis, tumefactive demyelinating
lesions, and radiation necrosis; and
(3) To apply an algorithmic
approach to differentiating brain lesions using diffusion, perfusion, and MR
spectroscopy.
Sponsored by the
Accreditation & Credit Designation Statements: The University of Maryland School
of Medicine is accredited by the Accreditation Council for Continuing Medical
Education to provide continuing medical education for physicians.
The University of Maryland School
of Medicine designates this educational activity for a maximum of 1 AMA PRA
Category 1 Credit(s)™. Physicians should claim only credit commensurate with
the extent of their participation in the activity.