The goal of the Cancer Imaging and Radiobiology Research Program (CIR) is to stimulate and promote investigations to develop and evaluate new cancer diagnostic and treatment strategies that utilize biophysics and engineering to improve imaging technology and to understand biological and physiological factors that influence the effectiveness of radiotherapy and other forms of treatment. CIR provides a forum for discussion and advancement of (a) novel preclinical and clinical imaging methods and modalities;(b) tools and techniques for in vivo oxygen assessment;(c) nanotechnology-mediated therapy and imaging;and (d) translation of these approaches into diagnostic and therapeutic clinical trials. The CIR has 19 members from six departments with $7.9 million in peer-reviewed funding (total costs, with $4.6 million from NCI, 58%) that includes awards in the P-series (P01, P41) and U-series (U54) funding mechanisms. The publication record over the past five years exceeds 230 papers of which approximately 58% involve intra-program collaborations and 18% represent inter-program collaborations. These data represent evidence of a highly productive and interactive research program. CIR research activities during the current funding period have led to the first technical reports and initial clinical evaluations of several innovative instrumentation platforms, including MR-guided NIR (near infrared) spectral imaging;microwave mammography;and clinical EPR oximetry. These and other cutting-edge developments involving electrical impedance spectroscopy, magnetic resonance elastography, fluorescence-guided resection, magnetic resonance microwave absorption imaging, nanoparticle hyperthermia, and magnetic nanoparticle imaging, among others, target cancers of breast, brain, head and neck, and prostate. These are tumor sites for which active diagnostic and therapeutic clinical studies are underway at NCCC. Research within the CIR currently focuses on (1) imaging structural and functional parameters associated with malignancy for detection, characterization, and therapyguidance of the disease;(2) measurement and assessment of oxygen during cancer treatment;and (3) delivery and assessment of agents and doses for evaluating new cancer imaging modalities, therapeutics and exposure outcomes. The range of physical techniques under investigation by the CIR membership provides a novel framework, enabled through NCCC support, for combining both conceptually and practically new approaches for clinical decision-making in the identification and management of cancer patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-35
Application #
8463387
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2014-11-30
Budget Start
2012-12-01
Budget End
2013-11-30
Support Year
35
Fiscal Year
2013
Total Cost
$55,045
Indirect Cost
$20,206
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992
Trentham-Dietz, Amy; Ergun, Mehmet Ali; Alagoz, Oguzhan et al. (2018) Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening. Breast Cancer Res Treat 168:229-239
Moulton, Haley; Tosteson, Tor D; Zhao, Wenyan et al. (2018) Considering Spine Surgery: A Web-Based Calculator for Communicating Estimates of Personalized Treatment Outcomes. Spine (Phila Pa 1976) 43:1731-1738
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Ferreiro-Iglesias, Aida; Lesseur, Corina; McKay, James et al. (2018) Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 9:3927
Bronson, Mackenzie R; Kapadia, Nirav S; Austin, Andrea M et al. (2018) Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer. Med Care 56:e83-e89
Gorlov, Ivan; Orlow, Irene; Ringelberg, Carol et al. (2018) Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics. Melanoma Res 28:380-389

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