Literature DB >> 30367250

Accuracy of colposcopy-directed biopsy in detecting early cervical neoplasia: a retrospective study.

Frederik A Stuebs1, Carla E Schulmeyer2, Grit Mehlhorn2, Paul Gass2, Sven Kehl2, Simone K Renner2,3, Stefan P Renner2,3, Carol Geppert4, Werner Adler5, Arndt Hartmann4, Matthias W Beckmann2, Martin C Koch2.   

Abstract

PURPOSE: Colposcopy-directed biopsy is a cornerstone method for diagnosing cervical intraepithelial neoplasia. The aim of this study was to evaluate the accuracy of colposcopy-directed biopsy in comparison with definitive surgery.
METHODS: The accuracy of colposcopy-directed biopsy was compared with the final histology in relation to different types of transformation zone (TZ), the patient's age, and the examiner's level of training.
RESULTS: The overall accuracy of biopsy in comparison with definitive surgery was 71.9% for all entities-benign lesions, low-grade squamous intraepithelial lesions, high-grade squamous intraepithelial lesions (HSILs), and cervical carcinoma-with an underdiagnosis rate of 11.8% and an overdiagnosis rate of 16.5%. The accuracy for detecting HSIL was 88% (401/455), with an underdiagnosis rate of 10.5% and overdiagnosis rate of 1.3%. The accuracy rates for detecting HSIL in women with TZ 1, TZ 2, or TZ 3 were 92.2, 90.5, and 76.5%, respectively. The accuracy rates for detecting HSIL in the different age groups were 93.1% (age 0-34), 83.6% (age 34-55), and 80% (age 55 or older).
CONCLUSIONS: A combination of the colposcopic findings, cytology, human papillomavirus testing, and colposcopy-directed biopsy is necessary for the correct diagnosis of HSIL. The accuracy rate depends on the TZ and the patient's age. The examiner's level of training does not have any substantial influence on the accuracy.

Entities:  

Keywords:  Cervical cancer; Cervical intraepithelial neoplasia (CIN); Colposcopy-directed biopsy; Conization; High-grade squamous intraepithelial lesion (HSIL)

Mesh:

Year:  2018        PMID: 30367250     DOI: 10.1007/s00404-018-4953-8

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  12 in total

1.  Histopathological correlation of cervical biopsy and tissue after excision in patients with precancerous lesions of the cervix.

Authors:  Aljoša Mandić; Nemanja Stevanović; Bojana Gutic; Slobodan Maričić; Zoran Nikin; Nenad Šolajić
Journal:  Arch Gynecol Obstet       Date:  2021-01-02       Impact factor: 2.344

2.  An artificial intelligence-assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions.

Authors:  Yu Ito; Ai Miyoshi; Yutaka Ueda; Yusuke Tanaka; Ruriko Nakae; Akiko Morimoto; Mayu Shiomi; Takayuki Enomoto; Masayuki Sekine; Toshiyuki Sasagawa; Kiyoshi Yoshino; Hiroshi Harada; Takafumi Nakamura; Takuya Murata; Keizo Hiramatsu; Junko Saito; Junko Yagi; Yoshiaki Tanaka; Tadashi Kimura
Journal:  Mol Clin Oncol       Date:  2021-12-08

3.  Certification as dysplasia unit and its impact on large loop electrosurgical excision (LEEP).

Authors:  Tatjana Hanczuk; Martin Weiss; Leon Henes; Tobias Engler; Felix Neis; Melanie Henes
Journal:  Arch Gynecol Obstet       Date:  2022-10-08       Impact factor: 2.493

4.  The detection of cervical neoplasia via optical ımaging: a pilot clinical study.

Authors:  Murat Canpolat; Özer Birge; Taner Danışman; Yiğit Ali Üncü; Deniz Karaçaylı; Uğur Bilge; Mehmet Sait Bakır; Mehmet Göksu; Ceyda Karadağ; Tayup Şimşek
Journal:  Arch Gynecol Obstet       Date:  2022-01-17       Impact factor: 2.493

5.  Application of 2011 International Federation for Cervical Pathology and Colposcopy Terminology on the Detection of Vaginal Intraepithelial Neoplasia.

Authors:  Qi Zhou; Feifei Zhang; Long Sui; Hongwei Zhang; Lin Lin; Yanyun Li
Journal:  Cancer Manag Res       Date:  2020-07-17       Impact factor: 3.989

6.  Pathologic discrepancies between colposcopy-directed biopsy and loop electrosurgical excision procedure of the uterine cervix in women with cytologic high-grade squamous intraepithelial lesions.

Authors:  Se Ik Kim; Se Jeong Kim; Dong Hoon Suh; Kidong Kim; Jae Hong No; Yong Beom Kim
Journal:  J Gynecol Oncol       Date:  2019-08-22       Impact factor: 4.401

7.  Assessing colposcopic accuracy for high-grade squamous intraepithelial lesion detection: a retrospective, cohort study.

Authors:  Anying Bai; Jiaxu Wang; Qing Li; Samuel Seery; Peng Xue; Yu Jiang
Journal:  BMC Womens Health       Date:  2022-01-11       Impact factor: 2.809

8.  Optimizing the Detection of Occult Cervical Cancer: A Prospective Multicentre Study in China.

Authors:  Yanyun Li; Ying-Xin Gong; Qing Wang; Shujun Gao; Hongwei Zhang; Feng Xie; Qing Cong; Limei Chen; Qi Zhou; Zubei Hong; Lihua Qiu; Fang Li; Yu Xie; Long Sui
Journal:  Int J Womens Health       Date:  2021-10-27

9.  Classification of cervical neoplasms on colposcopic photography using deep learning.

Authors:  Bum-Joo Cho; Youn Jin Choi; Myung-Je Lee; Ju Han Kim; Ga-Hyun Son; Sung-Ho Park; Hong-Bae Kim; Yeon-Ji Joo; Hye-Yon Cho; Min Sun Kyung; Young-Han Park; Byung Soo Kang; Soo Young Hur; Sanha Lee; Sung Taek Park
Journal:  Sci Rep       Date:  2020-08-12       Impact factor: 4.379

10.  Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening.

Authors:  Seongmin Kim; Hwajung Lee; Sanghoon Lee; Jae-Yun Song; Jae-Kwan Lee; Nak-Woo Lee
Journal:  Healthcare (Basel)       Date:  2022-03-03
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