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 #
5P01CA082710-12
Application #
8549695
Study Section
Special Emphasis Panel (ZCA1-RPRB-7)
Project Start
Project End
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
12
Fiscal Year
2013
Total Cost
$190,263
Indirect Cost
$35,995
Name
Texas Tech University
Department
Type
DUNS #
609980727
City
Lubbock
State
TX
Country
United States
Zip Code
79430
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
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
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
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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