10:45 |
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Introduction |
10:48 |
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Liver Fat Quantification -
Seriously, Who Cares?
Mustafa Shadi R. Bashir, M.D.
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11:03 |
0085. |
Systematic comparison
between modified Dixon MRI techniques, MR spectroscopic
relaxometry, and different histologic quantification methods
in the assessment of fatty liver disease
Guido Matthias Kukuk1, Alois Martin Sprinkart1,
Wolfgang Block1, Holger Eggers2,
Jürgen Gieseke1,3, Kanishka Hittatiya1,
Patrick Kupczyk1, Julian Luetkens1,
Rami Homsi1, Vera Keil1, Michael
Meier-Schroers1, Milka Marinova1,
Asadeh Lakghomi1, Dariusch Hadizadeh1,
Hans Heinz Schild1, and Frank Träber1
1University of Bonn, Bonn, NRW, Germany, 2Philips
Research Europe, Hamburg, Hamburg, Germany, 3Philips
Healthcare, Best, NL, Netherlands
The availability of various non-invasive and invasive
techniques for liver fat quantification raises the
question for comparability and congruence of
quantitative results. Therefore we performed a
systematic comparison of mDixon MRI techniques, MRS and
two different histologic methods for liver fat
quantification. Our results demonstrate that six-echo-mDixon,
MRS and semi-automatic histologic fat quantification
provide the most robust and congruent data. The
performance characteristics and systematic differences
of the various fat quantification methods should be
considered in clinical routine and in further studies
when comparing results obtained from biopsy with
quantitative MRI or MRS.
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11:15 |
0086. |
Multi-site, multi-vendor
validation of accuracy, robustness and reproducibility of
fat quantification on an oil-water phantom at 1.5T and 3T
Diego Hernando1, Mustafa R. Bashir2,
Gavin Hamilton3, Jean M. Shaffer2,
Samir D. Sharma1, Claude B. Sirlin3,
Keitaro Sofue2,4, Nikolaus M. Szeverenyi3,
Takeshi Yokoo5,6, Qing Yuan5, and
Scott B. Reeder1,7
1Radiology, University of Wisconsin-Madison,
Madison, WI, United States, 2Radiology,
Duke University, Durham, NC, United States, 3Radiology,
University of California, San Diego, San Diego, CA,
United States, 4Radiology,
Kobe University Graduate School of Medicine, Kobe,
Hyogo, Japan,5Radiology, University of Texas
Southwestern Medical Center, Dallas, TX, United States, 6Advanced
Imaging Research Center, University of Texas
Southwestern Medical Center, Dallas, TX, United States, 7Medical
Physics, University of Wisconsin-Madison, Madison, WI,
United States
Chemical shift-encoded techniques for MRI-based
quantification of triglyceride concentration have shown
great promise for assessment of nonalcoholic fatty liver
disease. However, direct validation of these techniques
in phantoms across multiple sites, vendors, platforms
and field strengths has yet to be performed. In this
work, we address this gap by scanning the same oil-water
phantom sequentially at four sites and comparing proton
density fat-fraction measurements obtained with a common
reconstruction algorithm. Our results demonstrate
excellent accuracy, robustness and reproducibility of
PDFF measurements in a phantom across three vendors,
four sites, two field strengths, and eight magnets.
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11:27 |
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Iron
Takeshi Yokoo, M.D., Ph.D.
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11:42 |
0087. |
Quantitative Ultra-short
Echo Time Imaging for Massive Iron Overload Assessment: A
Way to Make It Happen - permission withheld
Axel J. Krafft1,2, Ralf B. Loeffler1,
Ruitian Song1, Mary E. McCarville1,
Matthew D. Robson3, Jane S. Hankins4,
and Claudia M. Hillenbrand1
1Radiological Sciences, St. Jude Children's
Research Hospital, Memphis, TN, United States, 2Radiology
- Medical Physics, University Medical Center Freiburg,
German Cancer Consortium (DKTK), Heidelberg, Germany, 3Radcliffe
Department of Medicine, University of Oxford, Oxford,
United Kingdom,4Hematology, St. Jude
Children's Research Hospital, Memphis, TN, United States
Iron overload requires accurate assessment of hepatic
iron content (HIC) which can be achieved via R2*-MRI
using multi-echo gradient echo (mGRE) imaging. The
precision in previous R2*-HIC studies is compromised for
high HIC (> 20 mg Fe/g) as conventional mGRE techniques
fail due to the rapid T2* signal decay. This limitation
could be overcome using 2D ultra-short echo time (UTE)
imaging which is, however, sensitive to various system
imperfections hampering quantitative MRI. We describe a
2D UTE sequence that allows for precise R2*
quantification for detection of iron overload. The
sequence was evaluated in phantoms and in vivo.
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11:54 |
0088. |
A T2* MRI Prospective
Survey on Pancreatic Iron in Thalassemia Major Patients
Treated with Deferasirox, Deferiprone and Desferrioxamine
Antonella Meloni1, Gennaro Restaino2,
Stefania Renne3, Massimiliano Missere2,
Maria Chiara Resta4, Vincenzo Positano1,
Daniele De Marchi1, Gaetano Roccamo5,
Nicola Romano6, Maria Giovanna Neri1,
and Alessia Pepe1
1CMR Unit, Fondazione G. Monasterio
CNR-Regione Toscana, Pisa, Italy, 2Dipartimento
di Radiologia, Università Cattolica del Sacro Cuore,
Campobasso, Italy, 3Struttura
Complessa di Cardioradiologia-UTIC, P.O. “Giovanni Paolo
II”, Lamezia Terme, Italy, 4Struttura
Complessa di Radiologia, OSP. SS. Annunziata ASL
Taranto, Taranto, Italy, 5Unità
di Prevenzione e Cura delle Mictrocitemie, PO di S.
Agata di Militello (ASP-ME), S. Agata di Militello (ME),
Italy, 6S.C.
Medicina Trasfusionale, AO Arcispedale "S. Maria Nuova",
Reggio Emilia, Italy
For the first time, we described the changes in
pancreatic T2* values over a follow-up (FU) of 18 months
and we evaluated prospectively the effectiveness of the
three iron chelators in monotherapy in thalassemia major
(TM) patients. At the dosages used in the clinical
practice all three chelators in monotherapy allowed a
significant reduction in pancreatic iron.
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12:09 |
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MR Imaging of Liver
Fibrosis
Laurent Huwart, M.D., Ph.D.
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12:21 |
0089.
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Evaluation of Spin-echo
based sequences for MR Elastography of Liver with Iron
overload
Bogdan Dzyubak1, Yogesh K. Mariappan2,
Kevin J. Glaser1, Sudhakar K. Venkatesh1,
and Richard L. Ehman1
1Radiology, Mayo Clinic, Rochester,
Minnesota, United States, 2Philips
Healthcare, Bangalore, Karnataka, India
Magnetic Resonance Elastography (MRE) can measure the
shear stiffness of soft tissues and is clinically used
for hepatic fibrosis assessment. In liver pathologies
resulting in high iron deposition(Ex: hemochromatosis),
the typical gradient-echo MRE sequence can fail due to
low SNR. To address this issue, two spin-echo based
pulse sequences with short echo times have been
developed. On patients with no iron overload, these
modified sequences provide stiffness values that are in
good agreement with the standard MRE, indicating that
the current clinically used critical stiffness values
can continue to be used for liver fibrosis assessment in
patients with iron overload, when using these sequences
as well.
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12:33 |
0090. |
Analysis of Clinical and
Histopathological Changes That Influence Liver Stiffness
measured by MR Elastography
Wen-Pei Wu1,2, Ran-Chou Chen2,3,
Chen-Te Chou1, Chih-Wei Lee1,
Cheng-In Hoi2, Yi-Chun Wang2,4,
and Kwo-Whei Lee1
1Radiology, Chang-Hua Christian Hospital,
Chang-Hua, Taiwan, Taiwan, 2Biomedical
Imaging and Radiological Science, National Yang-Ming
Medical University, Taiwan, Taiwan, 3Radiology,
Taipei city Hospital, Taipei, Taipei, Taiwan, Taiwan, 4Taoyuan
general hospital ministry of health and welfare, Taiwan,
Taiwan
Purpose The purpose of our study was to determine the
influence of the histological or clinical parameters on
liver stiffness (LS) measured by MRE. Methods 354
patients underwent MRE and histological examination
during a 3-month interval. Clinical, laboratory data and
histological parameters were recorded. The spleen volume
was also measured using semiautomatic software. The
influence of the parameters on the LS was investigated
through uni- and multivariate standard regression.
Results The univariate regression analysis showed age,
etiology, fibrosis, activity, iron deposition, AST, ALT,
total bilirubin, platelet and spleen size were
significantly correlated with LS. In multiple regression
analysis, three variables independently influenced LS:
fibrosis, activity, and spleen size. The parameters
together explained 58.7% of the variances of the LS,
with fibrosis making the most unique contribution
(26.0%). Conclusions The degree of liver fibrosis ,
activity and spleen size independently and significantly
exaggerated LS.
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12:45 |
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Adjournment & Meet the
Teachers |
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