Evaluation of Cobas HPV and SeqHPV Assays in the Chinese Multicenter Screening Trial

JOURNAL OF LOWER GENITAL TRACT DISEASE(2021)

引用 11|浏览88
暂无评分
摘要
Objective The aim of the study was to evaluate the Cobas 4800 Assay and the SeqHPV Assay with self (S) and direct (D) cervical samples in the Chinese Multicenter Screening Trial (CHIMUST). Materials and Methods The CHIMUST is a large population-based multicenter clinical trial, and 10,885 women aged 30-59 years from 15 sites in 7 provinces with no cervical cancer screening for 3 years were eligible. All participating women contributed one self-collected sample (S) and 1 physician-collected endocervical sample (DL). The self-collected sample was first applied to the solid media transport card (SS), and then, the brush placed in 6 mL of ThinPrepSolution (SL). All samples were tested with Cobas 4800 and SeqHPV high-risk HPV assays. Patients human papillomavirus positive (self or direct) were recalled for colposcopy and biopsies. Results A total of 10,399 women had complete data. The mean age was 43.9 years. A total of 1.4% (142/10,399) had cervical intraepithelial neoplasia (CIN) 2+ and 0.5% (54/10,339) had CIN 3+. In the liquid specimens, the overall HPV infection rates were 10.8% for Cobas and 10.9% for SeqHPV in D sample, and 13.7% for Cobas and 11.6% for SeqHPV in SL sample, respectively. The sensitivity of Cobas-DL, Cobas-SL, SeqHPV-DL, and SeqHPV-SL for CIN 2+ was 95.07%, 95.07%, 94.33%, and 96.48%, respectively. The specificity of Cobas-DL, Cobas-SL, SeqHPV-DL, and SeqHPV-SL for CIN 2+ was 90.38%, 87.35%, 90.21%, and 89.53%, respectively. There were no differences in sensitivity when applying the 2 assays to both self- and directly collected samples in liquid transport media (p > .05). Conclusions Both Cobas and SeqHPV screening assays using both self-collected and directly endocervical collected specimens demonstrate similar sensitivity for the detection of CIN 2+ and CIN 3+.
更多
查看译文
关键词
Cobas, SeqHPV, self-sample, human papillomavirus, cervical cancer screening
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要