The four research projects in this P01 application on obesity and cancer will all use imaging-derived measures of body fat compartments as their exposures of interest. Imaging data at the two study sites [University of Hawaii (UH) and University of California (USC)] will be acquired by whole-body Dual X-ray Absorptiometry (DXA) and abdominal magnetic resonance imaging (MRI). Since data acquisition and analysis of imaging measures in a multi-center setting require specialized techniques and knowledge, we propose the creation of a dedicated """"""""Body Fat Compartments Imaging Core"""""""". The Core's main role will be the quantitative assessment of body fat distribution in 2,000 Multiethnic Cohort participants [800 at USC, 1,200 at the UH]. The Core will be co-directed by Dr. Thomas Ernst, an MR Physicist at the UH Medical School, and Dr. John Shepherd, Associate Professor of Radiology at UCSF. Both are experts in performing and analyzing DXA scans in a multi-center setting. The Core will provide the following services to the projects: Development, implementation and maintenance of optimized and uniform scanning protocols and quality assurance (QA) procedures for the two MEC study sites Data acquisition, archival, distribution, and processing Weekly quality assurance scans and monitoring Ongoing evaluation of technical quality using in vivo data from individual subjects Installation and maintenance of customized post-processing packages The Body Fat Compartments Imaging Core will certify sites and scanners before human studies may be started, perform continuous quality assurance, resolve potential technical issues in a timely manner, and provide intellectual input into the scientific findings of the study. Thus, having a dedicated Body Fat Compartments Imaging Core will ensure that consistent, high-quality imaging data are collected across sites and over time in a cost-effective manner.

Public Health Relevance

The Core's main role is to measure body fat amount and distribution in 2,000 Multiethnic Cohort participants (800 at the University of Southern California and 1,200 at the University of Hawaii) by conducting and analyzing whole-body Dual X-ray Absorptiometry (DXA) and abdominal magnetic resonance imaging (MRI) scans. The core will ensure that consistent, high-quality imaging data are collected across sites and over time in a cost-effective manner for use by all four research projects in this P01.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA168530-03
Application #
8729310
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
3
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Hawaii
Department
Type
DUNS #
City
Honolulu
State
HI
Country
United States
Zip Code
96822
Citronberg, Jessica S; Wilkens, Lynne R; Lim, Unhee et al. (2016) Reliability of plasma lipopolysaccharide-binding protein (LBP) from repeated measures in healthy adults. Cancer Causes Control 27:1163-6
Utzschneider, Kristina M; Kratz, Mario; Damman, Chris J et al. (2016) Mechanisms Linking the Gut Microbiome and Glucose Metabolism. J Clin Endocrinol Metab 101:1445-54
Fu, Benjamin C; Randolph, Timothy W; Lim, Unhee et al. (2016) Characterization of the gut microbiome in epidemiologic studies: the multiethnic cohort experience. Ann Epidemiol 26:373-9
Setiawan, Veronica Wendy; Lim, Unhee; Lipworth, Loren et al. (2016) Sex and Ethnic Differences in the Association of Obesity With Risk of Hepatocellular Carcinoma. Clin Gastroenterol Hepatol 14:309-16
Hullar, Meredith A J; Fu, Benjamin C (2014) Diet, the gut microbiome, and epigenetics. Cancer J 20:170-5
Sedaghat, Nafiseh; Saegusa, Takumi; Randolph, Timothy et al. (2014) Comparative study of computational methods for reconstructing genetic networks of cancer-related pathways. Cancer Inform 13:55-66
Gathungu, Rose M; Bird, Susan S; Sheldon, Diane P et al. (2014) Identification of metabolites from liquid chromatography-coulometric array detection profiling: gas chromatography-mass spectrometry and refractionation provide essential information orthogonal to LC-MS/microNMR. Anal Biochem 454:23-32
Lim, Unhee; Wilkens, Lynne R; Albright, Cheryl L et al. (2013) University of Hawai'i Cancer Center Connection: bias in self-reported anthropometry in relation to adiposity and adulthood weight gain among postmenopausal Caucasian and Japanese American Women. Hawaii J Med Public Health 72:445-9