Literature DB >> 31302386

The diagnostic accuracy of colposcopy - A review of research methodology and impact on the outcomes of quality assurance.

Brian Hilton Brown1, John A Tidy2.   

Abstract

OBJECTIVE: To review the published diagnostic accuracy figures for the performance of colposcopy and to assess how the various forms of bias might explain the very wide range of reported values and the impact they have on quality assurance of cervical screening.
METHODS: Publications were only selected where they contained sufficient raw data to enable diagnostic accuracy statistics to be calculated for the detection of cervical intraepithelial neoplasia grade 2+ (CIN2+), as determined by punch biopsy. In addition, both the colposcopic impression at the time of examination and the disease threshold used to determine the need for biopsy must have been reported.
RESULTS: Large differences in diagnostic accuracy figures were found when the output of colposcopy was defined either, on the basis that the colposcopist thought there was CIN2+ present or, that the colposcopist considered there to be some disease present and so took a biopsy to confirm this. Weighted mean sensitivity was 68.5% (95% CI 59.9-77.1) for the first method but 95.7% (95% CI 93.4-98.0) for the second method. Weighted mean specificity was 75.9% (95% CI 69.3-82.5) for the first method but 34.2% (95% CI 27.0-41.4) for the second method. Weighted mean PPV was 68.9% (95% CI 64.2-73.6) for the first method but 54.3% (95% CI 46.5-62.1) for the second method.
CONCLUSION: The main reason for the wide range of published diagnostic accuracy figures, arises from the use of two different methods of assessing the output of colposcopy. Colposcopic Impression is appropriate when assessing the performance of a colposcopist at the time of examination, but the taking of a biopsy to confirm that Disease is Present should be used when assessing patient management. Accurate assessment of both outcomes is fundamental to any quality assurance programme.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accuracy; Bias; Colposcopy; Methodology; Outcomes; Sensitivity; Specificity

Year:  2019        PMID: 31302386     DOI: 10.1016/j.ejogrb.2019.07.003

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  7 in total

1.  The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence.

Authors:  Peng Xue; Man Tat Alexander Ng; Youlin Qiao
Journal:  BMC Med       Date:  2020-06-03       Impact factor: 8.775

2.  Prognostic Value of Electrical Impedance Spectroscopy (EIS) When Used as an Adjunct to Colposcopy - A Longitudinal Study.

Authors:  B H Brown; P E Highfield; J A Tidy
Journal:  J Electr Bioimpedance       Date:  2020-11-06

3.  Dynamic Spectral Imaging Colposcopy Versus Regular Colposcopy in Women Referred With High-Grade Cytology: A Nonrandomized Prospective Study.

Authors:  Berit Bargum Booth; Lone Kjeld Petersen; Jan Blaakaer; Tonje Johansen; Henrik Mertz; Christina Blach Kristensen; Søren Lunde; Katja Dahl; Pinar Bor
Journal:  J Low Genit Tract Dis       Date:  2021-04-01       Impact factor: 3.842

4.  Comparative accuracy of cervical cancer screening strategies in healthy asymptomatic women: a systematic review and network meta-analysis.

Authors:  Teruhiko Terasawa; Satoyo Hosono; Seiju Sasaki; Keika Hoshi; Yuri Hamashima; Takafumi Katayama; Chisato Hamashima
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

5.  Screening History in Vaginal Precancer and Cancer: A Retrospective Study of 2131 Cases in China.

Authors:  Lu Zhang; Qing Wang; Hongwei Zhang; Yu Xie; Long Sui; Qing Cong
Journal:  Cancer Manag Res       Date:  2021-11-26       Impact factor: 3.989

6.  Convolutional neural network-based classification of cervical intraepithelial neoplasias using colposcopic image segmentation for acetowhite epithelium.

Authors:  Jisoo Kim; Chul Min Park; Sung Yeob Kim; Angela Cho
Journal:  Sci Rep       Date:  2022-10-14       Impact factor: 4.996

7.  Mueller matrix imaging for collagen scoring in mice model of pregnancy.

Authors:  Hee Ryung Lee; Ilyas Saytashev; Vinh Nguyen Du Le; Mala Mahendroo; Jessica Ramella-Roman; Tatiana Novikova
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  7 in total

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