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Prospective Evaluation of Cytology, CINtec and PD-L1 for the Detection of Cervical Intraepithelial Neoplasia: A Single-Center Study.

Journal of clinical medicine 2026 Vol.15(3)

Hamod A, Grigore M, Vasilache IA, Ursu RG, Mihaela O, Popovici R, Grigore AM, Lozneanu L, Andronic DC, Ciocoiu M

📝 환자 설명용 한 줄

: This study evaluated the diagnostic accuracy of cervical cytology, CINtec (p16/Ki-67 dual staining), and PD-L1 immunohistochemistry, individually and in combination with high-risk HPV (HR-HPV) testi

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 연구 설계 cross-sectional

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BibTeX ↓ RIS ↓
APA Hamod A, Grigore M, et al. (2026). Prospective Evaluation of Cytology, CINtec and PD-L1 for the Detection of Cervical Intraepithelial Neoplasia: A Single-Center Study.. Journal of clinical medicine, 15(3). https://doi.org/10.3390/jcm15031171
MLA Hamod A, et al.. "Prospective Evaluation of Cytology, CINtec and PD-L1 for the Detection of Cervical Intraepithelial Neoplasia: A Single-Center Study.." Journal of clinical medicine, vol. 15, no. 3, 2026.
PMID 41682853
DOI 10.3390/jcm15031171

Abstract

: This study evaluated the diagnostic accuracy of cervical cytology, CINtec (p16/Ki-67 dual staining), and PD-L1 immunohistochemistry, individually and in combination with high-risk HPV (HR-HPV) testing, for identifying histologically confirmed cervical lesions ranging from CIN1 to invasive carcinoma. : We conducted a prospective cross-sectional study including 114 patients who underwent cervical cytology, CINtec, PD-L1 staining, HPV genotyping, and histopathologic confirmation at a tertiary clinical center between September 2024 and September 2025. Sensitivity, specificity, PPV, NPV, and ROC performance were calculated for each test across lesion categories. Multivariable logistic regression models incorporating HR-HPV status were used to assess added predictive value. : All tests showed poor performance for CIN1 (cytology AUC 0.488; CINtec 0.374; PD-L1 0.366). Diagnostic accuracy improved markedly with lesion severity. For CIN3, CINtec demonstrated the highest discriminative ability (AUC 0.826), with cytology and PD-L1 also performing well (AUC 0.820 and 0.753). Cytology achieved the strongest ROC performance for CIN2+ (AUC 0.937), CIN3+ (0.913), and invasive carcinoma (0.887). PD-L1 consistently showed lower accuracy across categories. Cytology + HR-HPV demonstrated the highest AUC across all lesion categories. : Cytology and CINtec exhibited strong diagnostic accuracy for high-grade lesions, while PD-L1 showed limited utility as an independent screening marker. Combining cytology with HR-HPV testing enhanced predictive performance across all lesion categories. These findings support the continued use of cytology-based triage and highlight CINtec as a valuable adjunct for high-grade disease detection. Because this study used a high-prevalence referral cohort, specificity may be overestimated and not representative of population-based screening.