Do Human Papilloma Virus and Cytological Testing Results Before Colposcopy Alter the Pathological Grading of Colposcopy Acetic Acid Visual Examination?: A Retrospective Study

阴道镜检查前的人乳头瘤病毒和细胞学检测结果是否会影响阴道镜醋酸染色视觉检查的病理分级?:一项回顾性研究

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Abstract

OBJECTIVE: To understand whether human papillomavirus (HPV) and cytological testing (TCT [ie, "thinprep" cytological testing]) results can provide more information beyond visual information for vaginal colposcopy examinations to upgrade or downgrade the visual diagnosis of vaginal colposcopy. PATIENTS AND METHODS: Data from 519 patients, who underwent vaginal colposcopy at the Beijing Obstetrics and Gynecology Hospital (Beijing, China) between January and June 2020, were included. Preoperative HPV and TCT results were statistically analyzed, and were divided into 3 groups according to postoperative cervical tissue pathological diagnosis: negative; low-grade squamous intraepithelial (LSIL); and high-grade squamous intraepithelial lesion (HSIL). Positive and negative predictive values for cervical inflammation, LSIL, and HSIL in patients diagnosed using vaginal colposcopy, based on cervical pathological grouping, and differences in HPV and TCT results among patients who underwent vaginal colposcopy, were analyzed. RESULTS: The age of patients diagnosed with cervicitis, LSIL, and HSIL using colposcopy gradually decreased, and the proportion of HPV16/18 infection in the HSIL group was significantly higher than the other 2 groups. There were significant differences in TCT results among the groups. According to pathological results from cervical tissue specimens, among all groups diagnosed using colposcopy, the age of the HSIL group was significantly younger than that of the other groups, and the proportion of patients with a TCT greater than LSIL was significantly higher than that of the other groups. CONCLUSION: HPV did not provide additional information for vaginal colposcopy. Young(er) patients and those with a TCT greater than LSIL may consider upgrading the vaginal colposcopy diagnosis based on imaging information.

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