13:30 |
254. |
Noninvasive Assessment of Liver Stiffness with Tagged MRI
Sohae
Chung1, Elodie Breton1, Lorenzo
Mannelli1, Hersh Chandarana1, Leon
Axel1
1Radiology, NYU
Langone Medical Center, New York, NY, United States
A pathological hallmark of
the progression to cirrhosis is the development of liver
fibrosis, so that monitoring the appearance and progression
of liver fibrosis can be used to guide therapy. Fibrosis of
the liver is known to result in increased mechanical
stiffness, so that the assessment of liver stiffness is a
key feature. In this study, we describe a new MRI liver
assessment method by using the pulsations of the heart as an
intrinsic motion source and by using magnetization-tagged
MRI (tMRI) as a noninvasive method to image the motion of
the liver for the assessment of liver stiffness. |
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13:42 |
255. |
Magnetic
Resonance Elastography: Feasibility of Liver Stiffness
Measurements in Healthy Volunteers at 3Tesla
Lorenzo Mannelli1,
Martin J. Graves1, Peter Beddy1, Ilse
Joubert1, Andrew N. Priest2, David J.
Lomas1
1Radiology,
Addenbrooke's Hospital and University of Cambridge,
Cambridge, England, United Kingdom; 2Medical
Physics, Addenbrooke's Hospital and University of Cambridge,
Cambridge, England, United Kingdom
In this study we evaluated
liver stiffness in healthy volunteers using magnetic
resonance elastography (MRE) at 3T with the same technique
that has been successfully applied at 1.5T. This preliminary
work demonstrates the feasibility of liver stiffness
evaluation at 3T without modification of the approach used
at 1.5T. |
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13:54 |
256. |
Influence
of Perfusion on Tissue Stiffness Assessed with MR
Elastography
Meng Yin1,
Kevin J. Glaser1, Arunark Kolipaka1,
Lizette Warner2, Jayant A. Talwalkar3,
Armando Manduca1, Richard L. Ehman1
1Department of
Radiology, Mayo Clinic, Rochester, MN, United States; 2Division
of Nephrology & Hypertension, Mayo Clinic, Rochester, MN,
United States; 3Division of Gastroenterology,
Mayo Clinic, Rochester, MN, United States
This preliminary
investigation provides evidence that MRE-assessed hepatic
and renal stiffness in two controlled animal models has a
dynamic component that can increase or decrease following a
fluctuation in perfusion. The use of MRE to assess changes
in tissue mechanics associated with the dynamic perfusion of
tissue provides new insights into the natural history and
pathophysiology of hepatic and renal diseases and may have
significant diagnostic value. Diagnostic and longitudinal
MRE studies should take into account potential dynamic
perfusion effects as a potential cause of variability. |
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14:06 |
257. |
Automated
T2* Estimation with Complex-Signal Based Weighted Least
Squares Exponential Fitting
Shreyas S. Vasanawala1,
Huanzhou Yu2, Ann Shimakawa2, Michael
Jeng3, Jean H. Brittain4
1Department of
Radiology, Stanford University, Stanford, CA, United States;
2Applied Science Laboratory, GE Healthcare, Menlo
Park, CA, United States; 3Department of
Pediatrics, Division of Hematology/Oncology, Stanford
University, Stanford, CA, United States; 4Applied
Science Laboratory, GE Healthcare, Madison, WI, United
States
Patients who receive chronic
red blood cell transfusion therapy are at risk for iron
overload if not receiving appropriate iron chelation.
Quantification of iron deposition for therapeutic
decision-making is vital. We aim to evaluate a method of
automated T2* mapping with a weighted least squares
algorithm in pediatric patients with suspected hepatic iron
deposition and to compare it with a conventional T2* mapping
method. Twenty three patients ages 5 to 17 years were
recruited. Good correlation was obtained between the methods
with R2 of 0.97. It is noted that the simple exponential
fitting technique likely over-estimates T2* at short T2*. |
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14:18 |
258. |
MRI of
Liver Fibrosis by Fibrin-Fibronectin Targeted Contrast Agent
Darwin S. Gao1,2,
Mingqian Tan3, Jerry S. Cheung1,2,
April M. Chow1,2, Shu Juan Fan1,2,
Kannie W.Y. Chan1,2, Kwan Man4,
Zheng-Rong Lu3, Ed X. Wu1,2
1Laboratory of
Biomedical Imaging and Signal Processing, The University of
Hong Kong, Pokfulam, Hong Kong SAR, China; 2Department of Electrical and Electronic
Engineering, The University of Hong Kong, Pokfulam, Hong
Kong SAR, China; 3Department
of Biomedical Engineering, Case Western Reserve University,
Cleveland, United States; 4Department of Surgery,
The University of Hong Kong, Pokfulam, Hong Kong SAR, China
Liver fibrosis, associated
with chronic liver injury, including hepatitis and alcohol
intoxication, can progress to cirrhosis and hepatocellular
carcinoma. It is characterized by an increased amount of
extracellular matrix consisting of fibril-forming collagens
and matrix glycoconjugates such as fibronectin The fibrin-fibronectin
complexes in fibrotic liver, resulted from cross-linkage
between fibrin/fibrinogen and fibronectin, may serve as a
specific molecular target for contrast-enhanced MRI. Our
preliminary results demonstrated that a fibrin-fibronectin
targeted Gd contrast agent provided distinct contrast
enhancement in fibrotic liver, as compared with a
non-targeted Gd contrast agent, in an experimental model. |
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14:30 |
259. |
T2
Relaxation Time as a Surrogate Marker of Liver Fibrosis
Luiz Siqueira1,
Michael Chew1, Peter F. Hahn1, Giles
Boland1, Lawrence T. White2, Deborah
Gervais1, Peter R. Mueller1, Alexander
R. Guimaraes2,3
1Radiology,
Massachusetts General Hospital/Division of Abdominal
Imaging, Boston, MA, United States; 2Radiology,
Massachusetts General Hospital/Martinos Center for
Biomedical Imaging, Charlestown, MA, United States; 3Radiology,
Division of Abdominal Imaging and Interventional Radiology,
Boston, MA, United States
83 patients who underwent
both liver MRI and liver biopsy for fibrosis staging within
a 6 month period, between January 2004 and December 2008
were enrolled in this IRB approved retrospective study.
All biopsies were staged histologically (Ishak
classification system (0-6)) and grouped into mild (stage
(1-2) n=20), moderate (stage (3-4), n=17), severe (stage
(5-6), n=46). T2 relaxation time of liver parenchyma in
patients was calculated by 2 point fit (mild 66.7 +/-
1.9msec; moderate 71.6 +/- 1.7msec; severe 72.4 +/-
1.4msec) with low standard error (~1.9msec), demonstrating
statistically significant difference between degrees of mild
vs. severe fibrosis (p<0.05). |
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14:42 |
260. |
Assessment of Liver Fibrosis: Comparison of Magnetic
Resonance Elastography (MRE) and Diffusion-Weighted Imaging
(DWI)
Frank H. Miller1,
Yi Wang2, Robert McCarthy, Zongming Chen, Andrew
Larson2, Laura Sternick, Daniel Ganger, Richard
Ehman3, Josh Levitsky, Reed Omary2,
Laura Merrick2, Bradley D. Bolster, Jr4,
Sven Zuehlsdorff4, Saurabh Shah4, Paul
Nikolaidis2, Vahid Yaghmai2
1Radiology ,
Northwestern University Feinberg School of Medicine,
Chicago, IL, United States; 2Radiology,
Northwestern University Feinberg School of Medicine,
Chicago, IL, United States; 3Radiology, Mayo
Clinic, Rochester, MN, United States; 4Siemens Healthcare
We prospectively compared and
assessed the discriminatory capabilities of MRE and DWI in
detecting and staging hepatic fibrosis in patients with
suspected chronic liver diseases using histopathologic
analysis as the reference standard. Our study demonstrated
that the stiffness values on MRE had a positive linear
correlation with degree of liver fibrosis and had greater
capability for discriminating stages of fibrosis compared to
ADCs on DWI. Furthermore, the absence of fibrosis, mild
fibrosis, moderate fibrosis, and late-stage fibrosis (F3-4)
can be distinguished from one to another by stiffness
values; however, the individual stages of fibrosis could not
be differentiated by ADCs. |
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14:54 |
261. |
Non-Invasive Imaging of Diffuse Liver Disease Using Water T2
and Fat Fractions Obtained from a Breath Hold Radial GRASE
Method
Maria I. Altbach1,
Christian Graff2, Chuang Huang3, V
Abraham1, Scott W. Squire1, Denise
Bruck4, K Ray4, T Boyer4
1Radiology,
University of Arizona, Tucson, AZ, United States; 2Division
of Imaging and Applied Math, U.S. Food and Drug
Administration, Silver Spring, MD, United States; 3Mathematics,
University of Arizona, Tucson, AZ, United States; 4Medicine,
University of Arizona, Tucson, AZ, United States
The diagnosis of
inflammation, fibrosis, and steatosis is important in the
characterization of diffuse liver disease such as Hepatitis
C, non-alcoholic steatosis (NASH), and cirrhosis. Currently
the diagnosis of these pathologies requires a liver biopsy
which is an invasive procedure with associated morbidity and
cost. Recently our group developed a novel radial gradient
and spin-echo (GRASE) method which provides T2 and fat-water
mapping with the advantage that the T2 estimation is
independent of the presence of fat. The method is fast (data
for T2 and fat-water mapping are acquired in a breath hold)
and it provides high spatial resolution and motion
insensitivity. In this work we provide the first results in
patients with various liver conditions and compare T2 and
fat-water information to biopsy results. |
|
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15:06 |
262. |
Field
Strength Reproducibility of Hepatic Proton Density Fat
Fraction Estimation by a Complex-Data, T1-Independent,
T2*-Corrected, Spectrum-Modeled MRI Technique
Benjamin Johnson1,
Michael Schroeder1, Katie Hansen1,
Geraldine HyeWon Kang1, Tanya Wolfson1,
Anthony Gamst1, Scott B. Reeder2,
Claude B. Sirlin1, Mark Bydder1
1University of
California-San Diego, San Diego, CA, United States; 2University
of Wisconsin, Madison, WI, United States
With over ten million
Americans affected by non-alcoholic fatty liver disease (NAFLD),
there is a need for a non-invasive biomarker of liver fat
content. Because confounders lead to inaccurate estimates
of liver fat when using conventional MRI, advanced MRI
techniques are being developed and refined to address these
problems and accurately and precisely predict hepatic fat
content. We demonstrate the reproducibility across field
strength of an advanced complex-based MRI technique that
corrects for confounders such as T1 bias, T2*, spectral
complexity of liver fat, eddy currents and noise bias. |
|
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15:18 |
263. |
T1
Independent, T2* Corrected Chemical Shift Based Fat-Water
Separation with Accurate Spectral Modeling Is an Accurate
and Precise Measure of Liver Fat
Catherine D. G. Hines1,
Alex P. Frydrychowicz2,3, Dana L. Tudorascu4,
Gavin Hamilton5, Karl K. Vigen2,
Huanzhou Yu6, Charles A. McKenzie7,
Claude B. Sirlin5, Jean H. Brittain8,
Scott B. Reeder1,2
1Biomedical
Engineering, University of Wisconsin-Madison, Madison, WI,
United States; 2Radiology, University of
Wisconsin-Madison, Madison, WI, United States; 3Diagnostic
Radiology and Medical Physics, University Hospital Freiburg,
Freiburg, Germany; 4Waisman Laboratory for Brain
Imaging and Behavior, University of Wisconsin-Madison,
Madison, WI, United States; 5Radiology,
University of California-San Diego, San Diego, CA, United
States; 6Applied Science Laboratory, GE
Healthcare, Menlo Park, CA, United States; 7Medical
Biophysics, University of Western Ontario, London, Ontario,
Canada; 8Applied Science Laboratory, GE
Healthcare, Madison, WI, United States
Accurate quantification of
hepatic steatosis is essential for early detection of
non-alcoholic fatty liver disease, which is increasingly
common in Western societies. Quantitative IDEAL provides a
means to measure hepatic steatosis in vivo, although its
precision and accuracy are unknown. 40 patients were
scanned twice using both quantitative IDEAL and MRS to
assess accuracy and precision. Analysis of Bland-Altman
plots, concordance correlation coefficients, linear
regression and confidence intervals indicate that
quantitative IDEAL provides both highly accurate and precise
fat-fractions using MRS as a reference and is a reliable
method of in vivo fat quantification. |
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