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5/7/2015
1
Co Chairs:Patricia Cole, MD, PhDRichard L. Ehman, MD
QIBA Annual MeetingMay 6-7, 2015
Alexandria, VA
MRE Biomarker Committee
• Edward Ashton, PhD• Patricial Cole, MD, PhD• Richard Ehman, MD• Edward Jackson, PhD• Frank Miller, MD• Mark Palmeri, MD, PhD• Suraj Serai, PhD• Claude Sirlin, MD• Sudhakar Venkatesh, MD
MRE Biomarker Committee
5/7/2015
2
MR Elastography:Quantitative Imaging of Tissue Stiffness
MR Elastography:Quantitative Imaging of Tissue Stiffness
• Main current application: Assessing liver fibrosis
• FDA-cleared: GE (2009), Siemens (2012), Philips (2014)
• Installed clinical base ~ 450 systems worldwide
• Acquisition time: less than 1 minute
8
0
Normal Mild Fibrosis Severe
kPa
MR ElastographyMR Elastography
Acoustic waves at 60Hz
Imaging time: 15 sec
Acoustic waves at 60Hz
Imaging time: 15 sec
-90
0
+90
Dis
pla
cem
ent
(m
)
Sh
ear
Sti
ffn
ess
(kP
a)
0
10
4
6
8
2
MREVibration Source
MREVibration Source
MRE AbdominalDriver
MRE AbdominalDriver
Elastogram
5/7/2015
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Three Patients with Fatty Liver Disease
Shear Stiffness (kPa)
80
Commercial MRE Configuration
GE, Siemens, and Philips
Common Features:
• Shear driver hardware
• 2D MMDI Inversion
• Reporting |G*|
• Default 60 Hz
• Standard 0-8 kPa display
• Standardized color scale
• Confidence map overlay
5/7/2015
4
Teleconferences• January 13, 2015
• March 10, 2015
• April 14, 2015
Face-to-face• May 6, 2015
MRE Biomarker Committee
Initial Focus: What is a reasonable claim?
Measurement Accuracy of MRE ?
Ringleb, MRM 53:1197-1201 (2005)
Liver Stiffness: 6.5 kPa(~3 x normal)
DMA MRE
5/7/2015
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Test- Retest Repeatability
Shire NJ et al. Test–Retest Repeatability of MR Elastography. JMRI 2011
0 10 min
First Visit
0 min 10 min
Second Visit2 weeks
Healthy Volunteer
Chronic Hepatitis C
47 yo female with Autoimmune Hepatitis
Sh
ear
Sti
ffn
ess
(kP
a)80
4
Pre-Treatment
4.0 kPa4.0 kPa
Post-Treatment
2.9 kPa2.9 kPa
(-28%)(-28%)
Provisional Framework:MRE Profile Longitudinal Claim
For a given measured percentage change in the magnitude of the complex shear modulus, a plausible range for the true
change is the measured change ± ??%, with 95% confidence.
(Assuming no change in hardware and software platform and analyst)