Abstract

The screening and diagnosis of cervical squamous intraepithelial lesions (SIL) has both important clinical and public policy implications. In the United States, approximately 50 million women could be screened for cervical cancer each year; in addition, approximately 3 million women have further evaluation because of an abnormal result at time of screening. However, current cervical screening and diagnosis methods as well as methods for cervical cytological and pathological evaluation has been challenged for their effectiveness and economic consequences. The goal of this segment (Project 5) of the Program Project is to test hypotheses which evaluate the effectiveness and cost-effectiveness of (1) strategies for the diagnosis and screening of cervical pre-cancer, including fluorescence spectroscopy, and (2) strategies for the interpretation of cervical cells and tissues, including quantitative cytology and quantitative pathology. Receiving operating characteristic (ROC) curve analysis will be performed to evaluate the effectiveness of diagnostic and screening technologies for cervical SIL. Effectiveness will be evaluated by visual comparisons of the ROC curves and areas under the ROC curve for the various strategies. Decision-analytic models will be created, based on meta-analysis of data previously published in the literature as well as data collected from other portions of the Program Project. Cost-effectiveness will be performed, using the societal perspective, to determine the incremental cost- effectiveness ratios, measured in dollars per quality-adjusted life year of various strategies to screen and diagnose cervical cancer and interpret cervical cells and tissues. The results from this Project will be used to enhance the development of cervical screening and diagnosis methods in companion Projects. in addition, these results can provide policy and decision-makers regarding cervical cancer screening and diagnosis and cell and tissue interpretation with information regarding the effectiveness and cost-effectiveness of new technologies.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA082710-03
Application #
6505556
Study Section
Subcommittee E - Prevention &Control (NCI)
Project Start
2001-09-27
Project End
2002-08-31
Budget Start
Budget End
Support Year
3
Fiscal Year
2001
Total Cost
Indirect Cost

  Institution

Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
001910777
City
Houston
State
TX
Country
United States
Zip Code
77030

  Publications

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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