Literature DB >> 19546763

Human papillomavirus test after conization in predicting residual disease in subsequent hysterectomy specimens.

Jeong-Yeol Park1, Dae-Yeon Kim, Jong-Hyeok Kim, Yong-Man Kim, Young-Tak Kim, Joo-Hyun Nam.   

Abstract

OBJECTIVE: To estimate the effectiveness of the human papillomavirus (HPV) test performed after conization in predicting residual disease in patients who subsequently underwent hysterectomy.
METHODS: A total of 115 patients who underwent hysterectomy after conization caused by cervical intraepithelial neoplasia grade 3 (CIN 3) and microinvasive cervical cancer (IA1 cancer) were included in this prospective study. All patients underwent HPV testing with a liquid hybridization assay immediately before hysterectomy. Differences in sensitivity, specificity, and accuracy between resection margin and the HPV test in predicting residual disease in subsequent hysterectomy samples were estimated using the McNemar exact test.
RESULTS: Univariable analysis showed that age, parity, menopausal status, glandular extension, and severity of disease were not predictive for residual disease, but positive resection margin and positive HPV tests were significant factors for predicting residual disease. These factors were also significant in a multivariable analysis (positive resection margin 45.5%, odds ratio [OR] 3.09, 95% confidence interval [CI] 1.19-8.03, P=.021; positive HPV test 57.6%, OR 11.05, 95% CI 4.01-30.49, P<.001). With resection margin, the sensitivity, specificity, and accuracy in predicting residual disease were 75%, 53%, and 61%, respectively, whereas, with the HPV test, these values were 85%, 67%, and 73%, respectively (P=.454, .080, and .044, respectively). Of patients with positive resection margins, 79% of HPV-negative patients had no residual disease. Of patients with negative resection margins, no HPV-negative patient had residual disease.
CONCLUSION: The HPV test after conization was significantly more accurate than resection margin for predicting residual disease. The predictive value of resection margin for predicting residual disease was much improved when used in combination with the HPV test. Use of the HPV test is recommended for identifying patients for subsequent hysterectomy after conization for CIN 3 and IA1 cancer. LEVEL OF EVIDENCE: III.

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Year:  2009        PMID: 19546763     DOI: 10.1097/AOG.0b013e3181ab6dca

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  5 in total

1.  Conization Using an Electrosurgical Knife for Cervical Intraepithelial Neoplasia and Microinvasive Carcinoma.

Authors:  Libing Xiang; Jiajia Li; Wentao Yang; Xiaoli Xu; Xiaohua Wu; Huaying Wang; Ziting Li; Huijuan Yang
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

2.  A human papillomavirus (HPV)-16 or HPV-18 genotype is a reliable predictor of residual disease in a subsequent hysterectomy following a loop electrosurgical excision procedure for cervical intraepithelial neoplasia 3.

Authors:  Woo Dae Kang; U Chul Ju; Seok Mo Kim
Journal:  J Gynecol Oncol       Date:  2015-10-08       Impact factor: 4.401

3.  Factors that influence persistence or recurrence of high-grade squamous intraepithelial lesion with positive margins after the loop electrosurgical excision procedure: a retrospective study.

Authors:  Menghan Zhu; Yuan He; Jan Pa Baak; Xianrong Zhou; Yuqing Qu; Long Sui; Weiwei Feng; Qing Wang
Journal:  BMC Cancer       Date:  2015-10-20       Impact factor: 4.430

4.  The risk factors of residual lesions and recurrence of the high-grade cervical intraepithelial lesions (HSIL) patients with positive-margin after conization.

Authors:  Jun-Yu Chen; Zhi-Ling Wang; Zhao-Yang Wang; Xing-Sheng Yang
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

5.  Multicentre, randomised controlled trial of adjuvant chemotherapy in cervical cancer with residual human papilloma virus DNA following primary radiotherapy or chemoradiotherapy: a study protocol.

Authors:  Yanhong Wang; Yi Ouyang; Zhigang Bai; Xinping Cao; Jingjing Su; Jing Liu; Qunrong Cai; Qin Xu
Journal:  BMJ Open       Date:  2019-10-07       Impact factor: 2.692

  5 in total

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