Optical technologies, combined with low-cost imaging tools and portable computing, offer opportunities to leapfrog the building of infrastructure to deliver effective screening, diagnosis and treatment options in low-resource environments. We are developing and testing such optical systems, and intend to examine the incorporation of this optically-based, see-and-treat methodology into standard practice. The role of the Instrumentation Core is to develop optical device technologies that can be effectively translated into clinical use and to provide critical support for a number of trials. We undertake instrumentation design and management, support existing instrumentation, and develop new low-cost devices in support of Project teams. Core C develops techniques and methodological models that can be applied in a research setting and that can help ensure more effective evaluation of optical device technologies, even in small pilot trials, prior to their application in more costly patient measurements. This Core also manages calibration procedures and processes and ensure performance verification and validation of devices used in clinical trials. The Instrumentation Core also works with Core B to update and maintain approximately 1.2Tb of spectroscopic data. Analyses of this data allow us to create more stable imaging devices, based on a wealth of information about variables in measurement. We will continue to develop and maintain research-grade multispectral digital colposcopes (MDCs), point-probes based on fluorescence and reflectance spectroscopy, a combined point-probe/MDC device, a low-cost and battery-powered diagnostic imaging aid (DIA), an in vivo confocal microscope, and contrast agents to enhance diagnosis.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA082710-09A2
Application #
7839082
Study Section
Special Emphasis Panel (ZCA1-RPRB-7 (O1))
Project Start
2009-12-01
Project End
2014-11-30
Budget Start
2009-12-01
Budget End
2011-07-31
Support Year
9
Fiscal Year
2010
Total Cost
$353,430
Indirect Cost
Name
Drexel University
Department
Type
DUNS #
002604817
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Montealegre, J R; Peckham-Gregory, E C; Marquez-Do, D et al. (2018) Racial/ethnic differences in HPV 16/18 genotypes and integration status among women with a history of cytological abnormalities. Gynecol Oncol 148:357-362
Zhu, Hongxiao; Morris, Jeffrey S; Wei, Fengrong et al. (2017) Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study. Comput Stat Data Anal 111:88-101
Yang, Jingjing; Cox, Dennis D; Lee, Jong Soo et al. (2017) Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes. Biometrics 73:1082-1091
Montealegre, Jane R; Varier, Indu; Bracamontes, Christina G et al. (2017) Racial/ethnic variation in the prevalence of vaccine-related human papillomavirus genotypes. Ethn Health :1-12
Nghiem, Van T; Davies, Kalatu R; Beck, J Robert et al. (2016) Overtreatment and Cost-Effectiveness of the See-and-Treat Strategy for Managing Cervical Precancer. Cancer Epidemiol Biomarkers Prev 25:807-14
Nghiem, Van T; Davies, Kalatu R; Chan, Wenyaw et al. (2016) Disparities in cervical cancer survival among Asian-American women. Ann Epidemiol 26:28-35
Bodenschatz, Nico; Lam, Sylvia; Carraro, Anita et al. (2016) Diffuse optical microscopy for quantification of depth-dependent epithelial backscattering in the cervix. J Biomed Opt 21:66001
Sheikhzadeh, Fahime; Ward, Rabab K; Carraro, Anita et al. (2015) Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia. Biomed Eng Online 14:96
Yamal, Jose-Miguel; Guillaud, Martial; Atkinson, E Neely et al. (2015) Prediction using hierarchical data: Applications for automated detection of cervical cancer. Stat Anal Data Min 8:65-74
Montealegre, Jane R; Landgren, Rachel M; Anderson, Matthew L et al. (2015) Acceptability of self-sample human papillomavirus testing among medically underserved women visiting the emergency department. Gynecol Oncol 138:317-22

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