The Imaging Response Assessment Team (IRAT) is a shared resource providing image-based tumor metrics for cancer research, as one of a national consortium of cancer center IRATs. The IRAT serves as a key component of investigator-initiated, cooperative group and industry-sponsored clinical trials at Moffitt, providing quantitative size-based measurements of tumor response. Year-to-year increases in the volume of service have generated the need for a cost center to support and institutionalize the Moffitt IRAT. The present proposal seeks to expand the capabilities and scope of this IRAT to support the infrastructure necessary for investigator-initiated studies at Moffitt.
The specific aims for the current effort are to support the IRAT infrastructure, which is used to: 1) Maintain the current quality of reported quantitative data and rapid response time;2) Expand the quantitative nature of reporting through more detailed image analysis;3) Coordinate acquisition and analysis of radiological images in support of clinical trials;4) Consult in clinical trials protocol submission;5) Review clinical trials in Scientific Review Committee;6) Provide pilot data for grant submissions;7) Assist in development of non-traditional imaging endpoints for response assessment, including participation in ACRIN and COG trials;and 8) Educate and reach out to Moffitt oncologists and investigators to increase awareness of new horizons in cancer imaging. These achievements are critical to accommodate the increasing complexity and importance of imaging biomarkers in response assessment, as the limitations and inadequacies of conventional metrics are recognized. An expansion of IRAT personnel is an immediate need to realize these goals. In 2009, 169 clinical trials with a primary imaging endpoint to assess tumor response were active, with the majority originating from the Experimental Therapeutics program, followed by Immunology. Of these, 71 were investigator-initiated, non-Industrial Moffitt or cooperative trials, and 94 had new patient accrual in 2009. These clinical trials spanned the breadth of Oncology Groups at Moffitt. The Core requests CCSG support of $153,973 which is 39% of its operational budget.

Public Health Relevance

The IRAT adds value to the CC mission by streamlining the process of integrating imaging into trials and providing QA/QC throughout the process, especially for trials not initiated by radiologists. Developing an infrastructure for the IRAT has permitted the pursuit of other funded trial opportunities that use advanced and/or investigational imaging techniques, analysis, and novel biomarkers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-15
Application #
8495989
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-02-01
Budget End
2014-01-31
Support Year
15
Fiscal Year
2013
Total Cost
$84,209
Indirect Cost
$34,233
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Dai, Juncheng; Li, Zhihua; Amos, Christopher I et al. (2018) Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. Carcinogenesis :
Cherezov, Dmitry; Hawkins, Samuel H; Goldgof, Dmitry B et al. (2018) Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. Cancer Med 7:6340-6356
Simmons, Vani N; Sutton, Steven K; Meltzer, Lauren R et al. (2018) Long-term outcomes from a self-help smoking cessation randomized controlled trial. Psychol Addict Behav 32:710-714
Wheldon, Christopher W; Schabath, Matthew B; Hudson, Janella et al. (2018) Culturally Competent Care for Sexual and Gender Minority Patients at National Cancer Institute-Designated Comprehensive Cancer Centers. LGBT Health 5:203-211
Lin, Hui-Yi; Huang, Po-Yu; Chen, Dung-Tsa et al. (2018) AA9int: SNP interaction pattern search using non-hierarchical additive model set. Bioinformatics 34:4141-4150
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647
Hellmann, Matthew D; Callahan, Margaret K; Awad, Mark M et al. (2018) Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer. Cancer Cell 33:853-861.e4
Trabert, Britton; Poole, Elizabeth M; White, Emily et al. (2018) Analgesic Use and Ovarian Cancer Risk: An Analysis in the Ovarian Cancer Cohort Consortium. J Natl Cancer Inst :
Palmer, Amanda M; Brandon, Thomas H (2018) How do electronic cigarettes affect cravings to smoke or vape? Parsing the influences of nicotine and expectancies using the balanced-placebo design. J Consult Clin Psychol 86:486-491
Dougoud-Chauvin, Vérène; Lee, Jae Jin; Santos, Edgardo et al. (2018) Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study. J Geriatr Oncol 9:665-672

Showing the most recent 10 out of 1254 publications