13:30 |
0255. |
The feasibility of
evaluating treatment response of bone metastases by
segmenting tumor diffusion volumes to estimate total disease
burden on whole body diffusion-weighted imaging
Matthew D Blackledge1, Dow-Mu Koh1,
Anwar R Padhani2, James J Stirling2,
N J Taylor2, David J Collins1, and
Martin O Leach1
1CR-UK and EPSRC Cancer Imaging Centre,
Institute of Cancer Research and Royal Marsden Hospital,
Sutton, United Kingdom, 2Paul
Strickland Scanner Centre, Mount Vernon Cancer Centre,
Northwood, London, United Kingdom
There is currently no standard for evaluating response
of bone metastases to novel therapeutics, greatly
inhibiting pharmaceutical development. In this
feasibility study we investigate the role of tumour
burden estimates and apparent diffusion coefficients
measured using whole body diffusion weighted imaging (WBDWI)
for monitoring treatment response. Good correlations are
found between final clinical outcome in patients
diagnosed with bone metastases and changes in median ADC
value and tumour burden, as predicted using
semi-automatic segmentation methods. It is concluded
that such measurements from WBDWI will provide a useful
tool in future clinical trials.
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13:42 |
0256.
|
Whole-body MRI, including
diffusion-weighted imaging, for staging lymphoma: comparison
to CT in 101 patients
Thomas Kwee1, Malou Vermoolen1,
Erik Akkerman2, Marie José Kersten3,
Rob Fijnheer4, Inge Ludwig5,
Frederik Beek1, Maarten van Leeuwen1,
Marc Bierings6, Joseph Zsiros7,
Henriëtte Quarles van Ufford1, Jaap Stoker2,
Willem Mali1, and Rutger-Jan Nievelstein1
1Radiology, UMC Utrecht, Utrecht,
Netherlands, 2Radiology,
AMC Amsterdam, Amsterdam, Netherlands, 3Hematology,
AMC Amsterdam, Amsterdam, Netherlands, 4Hematology,
Meander MC, Amersfoort, Netherlands, 5Hematology,
UMC Utrecht, Utrecht, Netherlands, 6Pediatric
Hematology, UMC Utrecht, Utrecht, Netherlands, 7Pediatric
Hematology, AMC Amsterdam, Amsterdam, Netherlands
Whole-body MRI may be an alternative to CT for staging
lymphoma. Furthermore, the use of diffusion-weighted
imaging (DWI) may facilitate staging because of its high
lesion-to-background contrast. In this prospective
multicenter study including 101 consecutive patients
with newly diagnosed lymphoma, staging of newly
diagnosed lymphoma using whole-body MRI (without and
with DWI) equalled staging using CT in the majority of
patients. Disagreements between whole-body MRI and CT
were mostly caused by overstaging of the former relative
to the latter, with the number of correctly and
incorrectly overstaged cases being approximately equal.
The potential advantage of DWI is still unproven.
|
13:54 |
0257. |
Predict Metastatic and
Benign Lymph Nodes in Patients with Gastric Carcinoma by
Using Diffusion-Weighted Imaging
Jin Cheng1, Yi Wang1, Jie Deng2,
Robert J McCarthy3, Gongwei Wang4,
Yingjiang Ye5, He Wang6, and
Xiangke Du1
1Department of Radiology, Peking University
People's Hospital, Beijing, Beijing, China, 2Department
of Radiology, Children's Memorial Hospital, Chicago,
Illinois, United States, 3Department
of Anesthesiology, Northwestern University, Chicago,
Illinois, United States, 4Department
of Pathology, Peking University People's Hospital,
Beijing, Beijing, China, 5Department
of Gastrointestinal Surgery, Peking University People's
Hospital, Beijing, Beijing, China, 6GE
Health Care
We prospectively proposed to assess the predictive
capability of DWI in determing metastatic and benign
lymph nodes in patients with gastric carcinoma. The
median ADC value of metastatic nodes was lower than that
of the benign nodes and a statistical difference was
seen. DWI represented as ADC values shows more
accurately diagnostic performance in predicting nodal
metastases in gastric carcinoma than dose conventional
MRI. Furthermore, DWI combined with conventional MRI had
the greatest predictive power compared to DWI or
anatomic MRI alone, which can provide a great help in
determining appropriate therapeutic strateges.
|
14:06 |
0258.
|
Effects of gradient
nonlinearity, its correction methods and distortion on
diffusion weighted imaging
Ek T Tan1, Luca Marinelli1,
Zachary W Slavens2, Christopher J Hardy1,
and Kevin F King2
1GE Global Research, Niskayuna, NY, United
States, 2GE
Healthcare, Waukesha, WI, United States
The apparent diffusion coefficient (ADC) obtained with
diffusion weighted imaging (DWI) is a promising
non-contrast cancer imaging bio-marker. Gradient
nonlinearity (GN) results in spatially-varying ADC, an
effect that is confounded by distortion related to the
DWI acquisition. Evaluations were performed in two
whole-body MRI systems at 1.5T in various anatomical
regions. GN correction (GNC) used up to 13 orders of
spherical harmonics, and was used with and without the
full b-matrix in the diffusion-tensor computation. GNC
resulted in a significant reduction in ADC error in both
systems. Distortion effects resulted in a significant
ADC difference between both systems.
|
14:18 |
0259. |
In-vivo reliability
assessment of Intravoxel incoherent motion diffusion
weighted MRI parameters
Moti Freiman 1, Jeannette M Perez-Rossello 1,
Michael J Callahan 1, Mark Bittman 1,
Stephan D Voss 1, Robert V Mulkern 1,
and Simon K Warfield 1
1Radiology, Children's Hospital
Boston/Harvard Medical School, Boston, MA, United States
|
14:30 |
0260. |
Intravoxel incoherent
motion imaging of the liver: Which affects more on apparent
diffusion coefficient changes of cirrhosis and liver
lesions, D or D*?
Shintaro Ichikawa 1, Utaroh Motosugi 1,
Tomoaki Ichikawa 1, Hiroyuki Morisaka 1,
Katsuhiro Sano 1, Tetsuya Wakayama 2,
and Tsutomu Araki 1
1University of Yamanashi, Chuo, Yamanashi,
Japan, 2Advanced
Application Center, GE Healthecare Japan
|
14:42 |
0261. |
Free breathing Liver DWI
using PROPELLER-DW-EPI with inherent reductions of geometric
distortion and motion artifacts at 1.5T
Hing-Chiu Chang1,2, Nan-Kuei Chen3,
Chun-Jung Juan4, Tzu-Chao Chuang5,
Cheng-Wen Ko6, and Hsiao-Wen Chung2,4
1Global Applied Science Laboratory, GE
Healthcare, Taipei, Taiwan, 2Institute
of Biomedical Electronics and Bioinformatics, National
Taiwan University, Taipei, Taiwan, 3Brain
Imaging and Analysis Center, Duke University, North
Carolina, United States, 4Department
of Radiology, Tri-Service General Hospital, Taiwan, 5Electrical
Engineering, National Sun Yat-sen University, Taiwan, 6Department
of Computer Science and Engineering, National Sun
Yat-Sen University, Taiwan
Quantitative ADC measurement in liver has been shown to
facilitate differential diagnosis of simple versus
hydatid cyst. The consequent changes in repetition time
of respiratory gating DW-EPI may lead to bias in ADC
quantification, especially for long T1 hepatic cyst. The
aim of this study is to demonstrate a free breathing ADC
measurement method using PROPELLER-DW-EPI. The removal
of oblique N/2 ghost prior to PROPELLER reconstruction
was accomplished using reference-based and the other
reference-free (2D phase-cycled reconstruction) methods,
with their results compared. Our preliminary result
demonstrates that free breathing PROPELLER-DW-EPI is an
attractive alternative for precise ADC measurements in
liver.
|
14:54 |
0262. |
Intravoxel incoherent
motion diffusion-weighted imaging for detection of liver
fibrosis in HCV: comparison of four sequences
Hadrien Arezki Dyvorne1, Thomas Nevers1,
Nicola Galea2, M. Isabel Fiel3,
David Carpenter1, Edmund Wong1,
Matthew Orton4, Andre de Oliveira5,
Marie-Louise Vachon3, Manjil Chatterji1,
Douglas Dieterich3, and Bachir Taouli1
1Radiology, Mount Sinai School of Medicine,
New York, New York, United States, 2Sapienza
University, Rome, Italy, 3Department
of Medicine/Liver Disease, Mount Sinai School of
Medicine, New York, New York, United States, 4CR-UK
and EPSRC Cancer Imaging Centre, Institute of Cancer
Research, Sutton, Surrey, United Kingdom, 5AG
Healthcare Sector, Siemens, Erlangen, Germany
This study compares the performance and reproducibility
of four diffusion-weighted sequences using multiple b
values and biexponential fit for the detection of liver
fibrosis in chronic hepatitis C. We investigated the
role of gradient polarity and respiratory monitoring on
the reproducibility and diagnostic quality of IVIM
parameters. For all sequences, results showed acceptable
to excellent reproducibility and a marked decrease of
diffusion, perfusion fraction and apparent diffusion
coefficients with the degree of fibrosis. In addition,
free breathing acquisitions were found to give the
better results.
|
15:06 |
0263. |
Effect of Diffusion Time
on Liver DWI
Darwin S. Gao1,2, Zhongwei Qiao1,2,
Matthew M. Cheung1,2, April M. Chow1,2,
Shujuan Fan1,2, Kwan Man3, and Ed
X. Wu1,2
1Laboratory of Biomedical Imaging and Signal
Processing, The University of Hong Kong, Hong Kong SAR,
China, 2Department
of Electrical and Electronic Engineering, The University
of Hong Kong, Hong Kong SAR, China, 3Department
of Surgery, The University of Hong Kong, Hong Kong SAR,
China
In liver, diffusion decay can depend on not only b-value
but also the diffusion time (∆) because water molecule
diffusion is hindered and restricted by cellular
microstructures, such as cell membrane, cytoskeleton,
and macromolecules in tissue environment. In this study,
we aimed to investigate the dependence of various
diffusion measurements on diffusion time ∆ by acquiring
and analyzing DW signal with various b-values at
different diffusion times (∆s) in normal rat liver in
vivo. Restricted diffusion behavior was observed in
liver in vivo, demonstrating the effect of both b-value
and ∆ on liver DWI quantification.
|
15:18 |
0264. |
Diffusion behavior in
rectal cancer: comparison of mono-exponential,
bi-exponential and continuously distributed exponential
models
He Wang1, Yingshi Sun2, Yong Zhang1,
and Guang Cao1
1Applied Science Lab, GE Healthcare,
Shanghai, China, 2Department
of Radiology, Peking University Cancer Hospital,
Beijing, China
We compared three diffusion models to evaluate rectal
cancer, which include mono-exponential,
bi-mono-exponential and continuously distributed
exponential model. We found the continuously distributed
exponential model has an extremely small value of
chi-square in fitting the rectal cancer diffusion data
which means this model may reveal the ‘true’
distribution of diffusion components in rectal cancer.
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