Cervical cancer is the second most common malignancy in women worldwide. In the developing world it is the leading cause of cancer death among women. The clinical development of optical technologies for screening and diagnosis holds great promise for fighting cervical cancer worldwide. The goal of this Program Project is to integrate advances in early cancer biology and optical technology to develop cost-effective screening tools to aid in early detection of cervical cancer. We have demonstrated that optical technologies have significant potential to improve cervical cancer screening in a way that can enable screening in resource poor settings. Over the last nine years, we have carried out multi-center clinical trials to rigorously evaluate the performance and cost-effectiveness of quantitative optical technologies in more than 4,000 patients. Our results show that automated quantitative imaging and analysis of cytologic smears and histopathologic specimens can objectify and improve screening and diagnosis of cervical cancer and its precursors. The goal of Project 2 is the translation of research technologies into clinically ready processes poised for evaluation in large multi-center trials. We will conduct trials to determine the technical efficacy of all instruments under study in this Program Project. Specifically, we will test: a multispectral digital colposcope (MDC) to evaluate its performance alone and as an adjunct to colposcopy in diagnosis, the screening potential of a battery-powered diagnostic imaging aid (DIA) optimized for use in low-resource settings, an in vivo confocal microscope to facilitate diagnosis by improving the selection of tissue sites for biopsy, and the quantitative imaging of contrast agents to enhance detection of cervical lesions. Instruments that are found to improve upon the sensitivity and specificity of current technology can improve patient outcomes by better guiding treatment, control costs by sparing unnecessary interventions, and improve patient participation in screening and follow-up by inspiring confidence in clinical tests. Devices that match the performance of current technology can enable cancer detection programs in low-resource settings by replacing infrastructure, moderating the need for expert personnel, or reducing procurement and operating costs of equipment.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
7P01CA082710-13
Application #
8706056
Study Section
Special Emphasis Panel (ZCA1-RPRB-7)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
13
Fiscal Year
2014
Total Cost
$173,160
Indirect Cost
$14,658
Name
Brookdale University Hospital & Medical Center
Department
Type
DUNS #
063864656
City
Brooklyn
State
NY
Country
United States
Zip Code
11212
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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
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
Nghiem, V T; Davies, K R; Beck, J R et al. (2015) Economic evaluation of DNA ploidy analysis vs liquid-based cytology for cervical screening. Br J Cancer 112:1951-7
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
Davies, Kalatu R; Cantor, Scott B; Cox, Dennis D et al. (2015) An alternative approach for estimating the accuracy of colposcopy in detecting cervical precancer. PLoS One 10:e0126573
Li, Gerald; van Niekerk, Dirk; Miller, Dianne et al. (2014) Molecular fixative enables expression microarray analysis of microdissected clinical cervical specimens. Exp Mol Pathol 96:168-77
Wang, Lu; Lee, Jong Soo; Lane, Pierre et al. (2014) A statistical model for removing inter-device differences in spectroscopy. Opt Express 22:7617-24
Scheurer, Michael E; Danysh, Heather E; Follen, Michele et al. (2014) Association of traffic-related hazardous air pollutants and cervical dysplasia in an urban multiethnic population: a cross-sectional study. Environ Health 13:52

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