TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Poster Sessions<br />
superparamagnetic iron oxide (SPIO) can non-invasively image HER-2 expressing cells or tissues both in vitro and in vivo by MRI. This preliminary study<br />
demonstrates that Affibody-SPIO is a feasible target specific contrast agent for in vivo MR-molecular imaging.<br />
1937. Creation of an Multimeric Anti-P53 ScTCR-SPIO Conjugate for the Detection of Cancer in MR<br />
Richard Wong 1,2 , Tian Liu 1,2 , Xiao-Yun Zhu 3 , Hing C. Wong 3 , Yi Wang 1,4<br />
1 Cornell University, Ithaca, NY, United States; 2 Department of Radiology, Cornell University - Weill Medical College, New York,<br />
NY, United States; 3 Altor Bioscience Corp, Miramar, FL, United States; 4 Department of Radiology, Weill Medical College, New<br />
York, NY, United States<br />
We have created an anti-p53 scTCR-SPIO for use as a generalized cancer detection contrast agent for use in MR. In vitro models demonstrate the<br />
effectiveness of this molecule in labeling p53-expressing cells and suggests future application in in vivo cancer models.<br />
Imaging of Dementia & Neurodegeneration<br />
Hall B Tuesday 13:30-15:30<br />
1938. Degeneration of Subcortical White Matter in Alzheimer's Disease: Atlas-Based Automated Mapping<br />
and Its Diagnostic Utility Based on Multi-Variate Model<br />
Takashi Yoshiura 1 , Akio Hiwatashi 1 , Koji Yamashita 1 , Hironori Kamano 1 , Yukihisa Takayama 1 , Eiki<br />
Nagao 1 , Tuvshinjargal Dashjamts 1 , Hiroshi Honda 1<br />
1 Department of Clinical Radiology, Kyushu University, Fukuoka, Japan<br />
We measured mean diffusivities (MD) in subcortical white matter (WM) in 78 different cortical regions using an atlas-based mapping method in 33 patients<br />
with Alzheimerfs disease (AD) and 28 healthy control subjects to determine whether the topographical pattern of the diffusion abnormalities can be used to<br />
diagnose AD. Uni-variate analysis in which discrimination was attempted based on MD in the single region resulted in the accuracy of 88.5 %. Multi-variate<br />
analysis in which a linear discriminant function based on MDs from multiple cortical regions increased the accuracy up to 96.7 %.<br />
1939. Deterioration of Abstract Reasoning Ability in MCI and Alzheimer's Disease: Correlation with Local<br />
Gray Matter Volume Loss Using DARTEL VBM Analysis<br />
Takashi Yoshiura 1 , Akio Hiwatashi 1 , Koji Yamashita 1 , Hironori Kamano 1 , Yukihisa Takayama 1 , Eiki<br />
Nagao 1 , Tuvshinjargal Dashjamts 1 , Hiroshi Honda 1<br />
1 Department of Clinical Radiology, Kyushu University, Fukuoka, Japan<br />
We estimated brain regions whose damages are responsible for the deterioration in abstract reasoning ability measured by Ravenfs colored progressive<br />
matrices (CPM) in 37 patients with Alzheimerfs disease (AD) (n=19) and mild cognitive impairment (MCI) (n=18) using VBM with non-linear<br />
registration based on DARTEL algorithm. A multiple regression analysis was used to map the regions where gray matter volumes were correlated with CPM<br />
scores. Significant correlations were seen in 14 regions with the strongest correlation in the left middle frontal gyrus. Results suggested that damages of<br />
multiple regions are responsible for deterioration of abstract reasoning ability in AD and MCI.<br />
1940. MRI Shape Analysis Predicts Progression from Mild Cognitive Impairment to Alzheimer's Disease<br />
Donald Louis Collins 1 , Vladimir Fonov 1 , Simon Duchesne 2,3<br />
1 McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada; 2 Centre de Recherche Université Laval -<br />
Robert Giffard, Quebec, Canada; 3 Dépt. de Radiologie, Faculté de Médecine, Université Laval, Quebec, Canada<br />
A method is presented to predict conversion from mild cognitive impairment to Alzheimer’s disease using shape analysis of baseline T1w MRI data. Using<br />
100 MCI subjects from the ADNI database, PCA analysis of deformation fields required to register to a minimum deformation template is used to build a<br />
shape model of the aging brain. LDA of the eigenvalues is used to build a classifier to identify converters and non-converters. Testing with 100 additional<br />
MCI subjects demonstrates accuracies of 65% at 12 months and 64% at 24 months. Adding baseline HC volume increases accuracy to 73% and 69%,<br />
respectively.<br />
1941. Ultra-High Field MRS in Healthy Aging and Early Cognitive Impairment<br />
Mary Charlotte Stephenson 1 , Mirjam I. Schubert 2 , Maryam Abaei 2 , Antonio Napolitano 2 , Rob G. Jones 3 ,<br />
Peter G. Morris 1 , Dorothee P. Auer 2<br />
1 SPMMRC, School of Physics and Astronomy, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom;<br />
2 Academic Radiology, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 3 School of Community Healthy<br />
Sciences, University of Nottingham, Nottingham, Nottinghamshire<br />
Metabolic profiles in the posterior cingulate cortex (PCC) have been found to be altered due to healthy aging and in many neurodegenerative diseases. The<br />
purpose of this study was to use increased spectral resolution and signal, available at higher field, to measure changes in the PCC metabolic profile due to<br />
healthy aging and cognitive impairment. Atrophy corrected levels of N-acetyl aspartate, glutamate and aspartate were found to significantly decrease with<br />
healthy aging. Levels of phosphocreatine were greatly reduced in patients with cognitive impairment, supporting a crucial role for Creatine Kinase<br />
dysfunction in dementia.