Welcome to Moffitt Cancer Center
 
Department of Cancer Imaging and Metabolism

The Department of Cancer Imaging and Metabolism was initiated in April 2008 with the hiring of Drs. Robert A. Gatenby and Robert J. Gillies as chair and vice-chair of Radiology. 

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Research Projects

Imaging biomarkers:

Imaging biomarkers is coordinated by Dr. Gary Martinez, PhD.  It meets Wednesdays 2-4 pm in PI-2.  Members of this program include Drs. John Heine, Virendra Kumar, Yuhua Gu, Jon Wojtkowiak, Heather Cornell, Xiaomeng Zhang and Ihor Luhach.  It is funded by three NIH grants: a pre-clinical R01 (Imaging Biomarkers), a clinical U01 (Radiomics), a clinical R01 (Heine mammography) and an ARRA supplement to an N01 (Drs. Dan Sullivan, Hatem Soliman) to add an imaging arm to a proposed trial. 

The focus of this theme is to develop and apply imaging biomarkers to improve cancer therapy and prognosis.  Biomarkers are quantitative measures of tumor physiology or pathology that can monitor or predict response, or predict the presence or recurrence of disease.   

Pre-clinical work in this theme focuses on MRI/MRS of breast cancer models. It has somewhat been hampered by a lack of research agreements with Pharma, but this is recently changing. It is our expectation that this will grow into a relevant and important capability. The clinical work includes a project to develop novel radiochemistry, 11-C labeled alpha-methyl tryptophan, to measure the activity of IDO, an enzyme whose products are known to be immunosuppressive. Additional clinical research involves the extraction of quantitative information from PET and CT images of NSCLC using Definiens® software (“Radiomics”). These data are to be compared to expression and outcomes data from the TCC database. Additional clinical work includes optimization of mammographic density measures using a combination of improved image analysis for breast cancer risk modeling with highly quantified metrics derived from standardized image data, and response assessment for clinical trials using RECIST 1.1 criteria. A research component of this effort seeks to improve the quantification of RECIST and to expand the feature lists of data generated during measures. This is heavily focused on image analysis, and it is expected that this will also grow as an important capability applicable to any cancer in the TCC database.Go Back 


Latest Group News  View Alll

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3/5/2014: Jasmine Oliver was selected to participate in the 64th Lindau Nobel Laureate Meeting dedicated to Physiology or Medicine, in Lindau Germany from June 29th - July 4th this summer.



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11/2012: The Radiomics Workshop report 2012 is available[View]



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Abstract accepted for WMIC 2012: Characterization of Multivalent Targeted Molecular Imaging Probes



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Allison Cohen's abstract accepted for WMIC 2012: Discovery of Cell-Surface Markers for Molecular Imaging of Lung Cancer