↓ Skip to main content

Automated Detection of Dual p16/Ki67 Nuclear Immunoreactivity in Liquid-Based Pap Tests for Improved Cervical Cancer Risk Stratification

Overview of attention for article published in Annals of Biomedical Engineering, January 2012
Altmetric Badge

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
73 Mendeley
Title
Automated Detection of Dual p16/Ki67 Nuclear Immunoreactivity in Liquid-Based Pap Tests for Improved Cervical Cancer Risk Stratification
Published in
Annals of Biomedical Engineering, January 2012
DOI 10.1007/s10439-011-0498-8
Pubmed ID
Authors

Arkadiusz Gertych, Anika O. Joseph, Ann E. Walts, Shikha Bose

Abstract

The Papanicolau (Pap) test is a routine cytological procedure for early detection of dysplastic lesions in cervical epithelium. A reliable screening method is crucial for triage of women at risk; however manual screening and interpretation are associated with relatively low sensitivity and substantial interobserver diagnostic variability. P16 and Ki67 biomarkers have been recently proposed as adjunctive tools in the diagnosis of high-risk human papillomavirus (hrHPV) associated dysplasias to supplement the morphological characteristics of cells by additional colorimetric features. In this study, an automated technique for the evaluation of dual p16/Ki67 immunoreactivity in cervical cell nuclei is introduced. Smears stained with p16 and Ki67 antibodies were digitized, and analyzed by algorithms we developed. Gradient-based radial symmetry operator and adaptive processing of symmetry image were employed to obtain the nuclear mask. This step was followed by the extraction of features including pixel data and immunoreactivity signature from each nucleus. The features were analyzed by two support vector machine classifiers to assign a nucleus into one of four types of immunoreactivity: p16 positive (p16(+)/Ki67(-)), Ki67 positive (p16(-)/Ki67(+)), dual p16/Ki67 positive (p16(+)/Ki67(+)) and negative (p16(-)/Ki67(-)), respectively. Results obtained by our method correlated well with readings by two cytopathologists (n = 18,068 cells); p16(+)/Ki67(+) nuclei were classified with respective precisions of 77.1% and 82.6%. Specificity in identification of p16(-)/Ki67(-) nuclei was better than 99.5%, and the sensitivity in detection of all immunopositive nuclei was 86.3 and 89.4%, respectively. We found that the quantitative characterization of immunoreactivity provided by the additional highlighting of classified nuclei can positively impact the efficacy and screening outcome of the Pap test.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 9 12%
Student > Ph. D. Student 7 10%
Student > Bachelor 6 8%
Professor 4 5%
Other 17 23%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 30 41%
Engineering 5 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Agricultural and Biological Sciences 3 4%
Computer Science 2 3%
Other 9 12%
Unknown 20 27%