Abstract

Specialized Resource 4-Image Quantitation and Visualization Resource (Dr. Plevritis/Napel Co-PI's): This resource is designed to help ICMIC at Stanford investigators understand, quantitate, mathematically model, statistically analyze, and visualize their multimodality imaging data. We feel it is critical that molecular imaging move forward with not only the ability to obtain images but to rigorously quantitate the obtained data. This resource will help to make sure that investigators are confident in understanding and reporting the data obtained. This resource will work closely with Specialized Resource #9003 and will be utilized by all Research and Developmental Projects.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA114747-04
Application #
7645581
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
4
Fiscal Year
2008
Total Cost
$123,173
Indirect Cost

  Institution

Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

Natarajan, Arutselvan; Patel, Chirag B; Habte, Frezghi et al. (2018) Dosimetry Prediction for Clinical Translation of 64Cu-Pembrolizumab ImmunoPET Targeting Human PD-1 Expression. Sci Rep 8:633
Habte, Frezghi; Natarajan, Arutselvan; Paik, David S et al. (2018) Quantification of Cerenkov Luminescence Imaging (CLI) Comparable With 3-D PET Standard Measurements. Mol Imaging 17:1536012118788637
Natarajan, Arutselvan; Patel, Chirag B; Ramakrishnan, Sindhuja et al. (2018) A Novel Engineered Small Protein for Positron Emission Tomography Imaging of Human Programmed Death Ligand-1 : Validation in Mouse Models and Human Cancer Tissues. Clin Cancer Res :
Sun, Yao; Zeng, Xiaodong; Xiao, Yuling et al. (2018) Novel dual-function near-infrared II fluorescence and PET probe for tumor delineation and image-guided surgery. Chem Sci 9:2092-2097
Hong, Su Hyun; Sun, Yao; Tang, Chu et al. (2017) Chelator-Free and Biocompatible Melanin Nanoplatform with Facile-Loading Gadolinium and Copper-64 for Bioimaging. Bioconjug Chem 28:1925-1930
Shen, Bin; Behera, Deepak; James, Michelle L et al. (2017) Visualizing Nerve Injury in a Neuropathic Pain Model with [18F]FTC-146 PET/MRI. Theranostics 7:2794-2805
Loft, Mathias Dyrberg; Sun, Yao; Liu, Changhao et al. (2017) Improved positron emission tomography imaging of glioblastoma cancer using novel 68Ga-labeled peptides targeting the urokinase-type plasminogen activator receptor (uPAR). Amino Acids 49:1089-1100
Natarajan, Arutselvan; Mayer, Aaron T; Reeves, Robert E et al. (2017) Development of Novel ImmunoPET Tracers to Image Human PD-1 Checkpoint Expression on Tumor-Infiltrating Lymphocytes in a Humanized Mouse Model. Mol Imaging Biol 19:903-914
Hori, Sharon Seiko; Lutz, Amelie M; Paulmurugan, Ramasamy et al. (2017) A Model-Based Personalized Cancer Screening Strategy for Detecting Early-Stage Tumors Using Blood-Borne Biomarkers. Cancer Res 77:2570-2584
Ronald, John A; Kim, Byung-Su; Gowrishankar, Gayatri et al. (2017) A PET Imaging Strategy to Visualize Activated T Cells in Acute Graft-versus-Host Disease Elicited by Allogenic Hematopoietic Cell Transplant. Cancer Res 77:2893-2902

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