Literature DB >> 19302953

Screening properties of human papillomavirus testing for predicting cervical intraepithelial neoplasia in atypical squamous cells of undetermined significance and low-grade squamous intraepithelial lesion smears: a prospective study.

Cem Dane1, Gonca Batmaz, Banu Dane, Ahmet Cetin.   

Abstract

The aim of the present study was to determine the usefulness of human papillomavirus (HPV) testing for predicting cervical intraepithelial neoplasia (CIN) 1 and 2 to 3 on cervical biopsies in women who had atypical squamous cells of undetermined significance (ASCUS) and low-grade squamous intraepithelial lesion (LSIL) on Papanicolaou tests. In this prospective cohort, 167 women with abnormal cytologic examination (ASCUS and LSIL) were evaluated by colposcopy-directed biopsy and endocervical curettage. Colposcopy was performed on all study participants to obtain cervical tissue for histologic examination for detection of underlying CIN in patients with an initial cytologic test result of ASCUS and LSIL. A sample for HPV DNA detection by polymerase chain reaction was obtained. The HPV type 16 was positive in 35.4% of the 167 women with abnormal cytologic examination result in our gynecologic outpatient's clinic. Histologic diagnosis of CIN 1 was found in 45 of 135 women with ASCUS and in 17 of 32 women with LSIL. According to the cytologic findings, the frequency of CIN grade 2 or 3 in patients classified as ASCUS and LSIL was 12.5% (17/135) and 18.7% (6/32), respectively. Of the ASCUS smears, 9.6% were positive for HPV type 16. The sensitivity of the HPV type 16 using polymerase chain reaction technique threshold in detecting CIN 1 and CIN 2 to 3 was 57% and 46% in ASCUS-LSIL cytologic examination, respectively. The positive predictive value of HPV type 16 ranged from 60% in patients with CIN 1 and 42% in CIN 2 to 3 in ASCUS-LSIL. By contrast, negative predictive value was 58% in patients with CIN 1 and 80% in CIN 2 to 3. The low positive predictive value of HPV testing with ASCUS smears suggests that HPV positivity could be not used for predicting the presence of CIN 2 to 3.

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Year:  2009        PMID: 19302953     DOI: 10.1016/j.anndiagpath.2008.12.001

Source DB:  PubMed          Journal:  Ann Diagn Pathol        ISSN: 1092-9134            Impact factor:   2.090


  6 in total

1.  Human papillomavirus viral load expressed as relative light units (RLU) correlates with the presence and grade of preneoplastic lesions of the uterine cervix in atypical squamous cells of undetermined significance (ASCUS) cytology.

Authors:  M Origoni; G Carminati; S Rolla; M Clementi; M Sideri; M T Sandri; M Candiani
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2012-03-01       Impact factor: 3.267

Review 2.  Human papillomaviruses-related cancers. Presence and prevention strategies in the Middle east and north African regions.

Authors:  Ala-Eddin Al Moustafa; Rana Al-Awadhi; Nabiha Missaoui; Ishag Adam; Raika Durusoy; Lina Ghabreau; Nizar Akil; Hussain Gadelkarim Ahmed; Amber Yasmeen; Ghazi Alsbeih
Journal:  Hum Vaccin Immunother       Date:  2014       Impact factor: 3.452

3.  Human papillomavirus types distribution in eastern Sicilian females with cervical lesions. A correlation with colposcopic and histological findings.

Authors:  Maria Le Donne; Giuseppe Giuffrè; Carmela Caruso; Piero Antonio Nicotina; Angela Alibrandi; Rosalba Scalisi; Angela Simone; Benito Chiofalo; Onofrio Triolo
Journal:  Pathol Oncol Res       Date:  2013-02-19       Impact factor: 3.201

4.  ASCUS (Atypical Squamous Cells of Undetermined Significance) in the Cervical Smears of Women from Rural Population of Lucknow West.

Authors:  Anand N Srivastava; Jata S Misra
Journal:  J Obstet Gynaecol India       Date:  2018-08-16

5.  HPV-DNA testing for cervical cancer precursors: from evidence to clinical practice.

Authors:  M Origoni; P Cristoforoni; S Costa; L Mariani; P Scirpa; A Lorincz; M Sideri
Journal:  Ecancermedicalscience       Date:  2012-06-18

Review 6.  The promising role of PAX1 (aliases: HUP48, OFC2) gene methylation in cancer screening.

Authors:  Chao Fang; Sai-Ying Wang; Yu-Ligh Liou; Ming-Hua Chen; Wen Ouyang; Kai-Ming Duan
Journal:  Mol Genet Genomic Med       Date:  2019-01-12       Impact factor: 2.183

  6 in total

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