Objective: To systematically evaluate the agreement of deoxyribonucleic acid (DNA) ploidy analysis and p16/Ki67 dual‑staining (DS) with cytology, and compare their diagnostic performance for detecting cervical abnormalities, particularly in high-risk human papillomavirus (hrHPV)‑defined subgroups. Methods: This cross-sectional study enrolled 877 women undergoing cervical cancer screening. Cervical exfoliated cells were collected for liquid-based cytology, hrHPV testing, DNA ploidy analysis, and p16/Ki67 dual-staining. Agreement between tests was assessed using kappa statistics. Diagnostic performance for detecting cytological abnormalities (≥ASC-US, ≥LSIL) and histologically confirmed CIN2+ was evaluated using area under the ROC curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: DNA ploidy demonstrated stronger agreement with cytology (κ=0.60, 95% CI: 0.51– 0.69) than DS (κ=0.40, 95% CI: 0.30– 0.51). For detecting ≥ASC-US, DNA ploidy achieved significantly higher AUC than DS (0.843 vs 0.705, P 0.999). DNA ploidy showed sensitivity comparable to hrHPV testing (74.7% vs 79.5%) but with significantly higher specificity (94.0% vs 84.4%, P < 0.001). In hrHPV-positive women, DNA ploidy exhibited the strongest agreement with cytology (κ=0.69) and maintained robust diagnostic performance. For CIN2+ detection, DNA ploidy showed sensitivity of 69.2% and specificity of 62.7%, while DS demonstrated lower sensitivity (53.8%). Conclusion: DNA ploidy analysis demonstrates stronger agreement with cytology and superior diagnostic performance compared to p16/Ki67 dual-staining, particularly in hrHPV-positive subgroups where effective triage is essential. With sensitivity comparable to hrHPV testing but significantly higher specificity, DNA ploidy offers a balanced, automated approach maintaining high detection rates in cervical cancer screening programs. Keywords: DNA ploidy, p16/Ki67 dual-staining, cervical cancer
Building similarity graph...
Analyzing shared references across papers
Loading...
Yu Wang
Chao Qi
Cancer Management and Research
Taiyuan Maternity and Child Care Hospital
Building similarity graph...
Analyzing shared references across papers
Loading...
Wang et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69fc2ba98b49bacb8b347a2d — DOI: https://doi.org/10.2147/cmar.s611392