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人乳头瘤病毒基因分型作为轻度细胞学异常女性高级别宫颈发育异常预测指标的两年随访报告。

Human papillomavirus genotyping as a predictor of high-grade cervical dysplasia in women with mildly cytologic abnormalities: a two-year follow-up report.

作者信息

Huang Lee-Wen, Lin Yu-Hung, Pan Hun-Shan, Seow Kok-Min, Lin Ching-Yu

机构信息

Department of Obstetrics and Gynecology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.

出版信息

Diagn Cytopathol. 2012 Aug;40(8):673-7. doi: 10.1002/dc.21591. Epub 2011 Mar 25.

Abstract

High-risk human papillomavirus (HR-HPV) DNA testing has emerged as another testing modality for women with mildly cytologic abnormalities. We conducted a two-year follow-up study of 108 women with mildly abnormal cervical cytology for detection of CIN 2/3. A cervical swab sample was obtained for HPV genotyping by a HPV blot and histologic follow-up results were correlated with HR-HPV types. Of the 108 cases, 93 (86.1%) were positive for HR-HPV DNA. HPV-16 was detected in 45.1% of patients. CIN grade 2 or 3 was confirmed in 25 (23.1%) of the 108 women during the two-year follow-up period. The two-year cumulative incidence rates of CIN 2/3 were 38.6% (17/44) among HPV-16- positive women, but only 5.6% among HR-HPV-positive women without HPV-16 or HPV-18. The sensitivity of a positive HPV-16 test for CIN 2/3 was 68.0%, the specificity was 67.5%. Our results demonstrated that the type-specific HPV-16 test increased sensitivity of detecting high-grade cervical dysplasia for women who have mildly cytologic abnormalities. The implication of the present findings is that HPV genotyping may identify women with the greatest risk of high-grade CIN.

摘要

高危型人乳头瘤病毒(HR-HPV)DNA检测已成为针对细胞学轻度异常女性的另一种检测方式。我们对108例宫颈细胞学轻度异常的女性进行了为期两年的随访研究,以检测宫颈上皮内瘤变2/3级(CIN 2/3)。通过HPV印迹法获取宫颈拭子样本进行HPV基因分型,并将组织学随访结果与HR-HPV类型相关联。在这108例病例中,93例(86.1%)HR-HPV DNA检测呈阳性。45.1%的患者检测出HPV-16。在两年的随访期内,108例女性中有25例(23.1%)被确诊为CIN 2级或3级。HPV-16阳性女性中CIN 2/3的两年累积发病率为38.6%(17/44),而在无HPV-16或HPV-18的HR-HPV阳性女性中仅为5.6%。HPV-16检测阳性对CIN 2/3的敏感性为68.0%,特异性为67.5%。我们的结果表明,对于细胞学轻度异常的女性,特定类型的HPV-16检测提高了检测高级别宫颈发育异常的敏感性。本研究结果的意义在于,HPV基因分型可能识别出高级别CIN风险最高的女性。

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