In creating the Emory Molecular and Translational Imaging Center (EMTIC), we have built upon a uniquely supportive Atlanta biomedical environment, a flourishing imaging research community across Emory University and the Georgia Institute of Technology (Georgia Tech), and remarkable growth of the Winship Cancer Institute. The vision and mission for EMTIC is a cross-disciplinary scientific, administrative, and educational network that encompasses imaging scientists and basic and clinician scientists working in areas vital to cancer diagnosis and therapeutics. As conceived, EMTIC is the multi-faceted connector that joins disciplines to accelerate innovative methodological developments and foster their rapid clinical translation. Vital to this mission, EMTIC is closely .aligned with strategic and transforming investments in imaging technology, biomarker development, predictive and personalized medicine, and nanotechnology based at Emory and Georgia Tech. Progress in the development and validation of molecular imaging cancer biomarkers will be founded in a structure of three major Research Projects, four Specialized Resources (Cores), investment in Developmental Funds to support Pilot projects, and a focused Career Development Component. The Research Projects include (Project #1) a translational study of prostate cancer patients using [[18]F]FACBC, an amino acid transporter ligand developed at Emory and an example of the bench-to-bedside capabilities of our investigative team. Project #2 will develop and validate selective chemokine PET markers in head and neck cancer. In Project #3 we will evaluate a unique target-specific molecular MRI probe in a breast cancer animal model. Project #4 tests a novel near-infrared (NIR) fluorescent dye in prostate cancer. Specialized Resources for Imaging (Core A), Tracer Development (Core B), Biostatistics, Modeling, and Data Management (Core C), and Animals, Pathology, and Tumor Models (Core D) will provide support for the Research Projects as well as Year 1 and future Pilot Projects. EMTIC will also provide an ideal structure for support of an integrated Career Development Program to equip the future imaging scientist with the interdisciplinary technical and translational skills to specialize in cellular and molecular imaging for cancer care.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA128301-05
Application #
8328990
Study Section
Special Emphasis Panel (ZCA1-SRRB-9 (J1))
Program Officer
Menkens, Anne E
Project Start
2008-09-24
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2014-08-31
Support Year
5
Fiscal Year
2012
Total Cost
$1,070,400
Indirect Cost
$468,560
Name
Emory University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Akin-Akintayo, Oladunni; Tade, Funmilayo; Mittal, Pardeep et al. (2018) Prospective evaluation of fluciclovine (18F) PET-CT and MRI in detection of recurrent prostate cancer in non-prostatectomy patients. Eur J Radiol 102:1-8
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2017) A supervoxel-based segmentation method for prostate MR images. Med Phys 44:558-569
Liu, Lizhi; Tian, Zhiqiang; Zhang, Zhenfeng et al. (2016) Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications. Acad Radiol 23:1024-46
Orza, Anamaria; Yang, Yi; Feng, Ting et al. (2016) A nanocomposite of Au-AgI core/shell dimer as a dual-modality contrast agent for x-ray computed tomography and photoacoustic imaging. Med Phys 43:589
Pike, Robert; Lu, Guolan; Wang, Dongsheng et al. (2016) A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging. IEEE Trans Biomed Eng 63:653-63
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2016) Superpixel-Based Segmentation for 3D Prostate MR Images. IEEE Trans Med Imaging 35:791-801
Schuster, David M; Nanni, Cristina; Fanti, Stefano (2016) PET Tracers Beyond FDG in Prostate Cancer. Semin Nucl Med 46:507-521
Dance, David R; Sechopoulos, Ioannis (2016) Dosimetry in x-ray-based breast imaging. Phys Med Biol 61:R271-R304
Lu, Guolan; Qin, Xulei; Wang, Dongsheng et al. (2015) Estimation of Tissue Optical Parameters with Hyperspectral Imaging and Spectral Unmixing. Proc SPIE Int Soc Opt Eng 9417:
Kaluzova, Milota; Bouras, Alexandros; Machaidze, Revaz et al. (2015) Targeted therapy of glioblastoma stem-like cells and tumor non-stem cells using cetuximab-conjugated iron-oxide nanoparticles. Oncotarget 6:8788-806

Showing the most recent 10 out of 83 publications