Literature DB >> 29668969

Liquid-based cytology versus conventional cytology for detection of uterine cervical lesions: a prospective observational study.

Hiroshi Nishio1, Takashi Iwata1, Hidetaka Nomura2, Tohru Morisada1, Nobuhiro Takeshima2, Hirokuni Takano3, Hiroshi Sasaki3, Eiji Nakatani4, Satoshi Teramukai4,5, Daisuke Aoki1.   

Abstract

OBJECTIVE: Liquid-based cytology (LBC) and conventional cytology (CS) are routine diagnostic techniques in cervical cytology, but few studies have compared their diagnostic performances with each other and with histologic diagnosis. This study aimed to compare the diagnostic performances of these techniques in subjects with abnormal cervical cytology of atypical cells of undetermined significance (ASC-US) or worse.
METHODS: A total of 312 patients diagnosed with ASC-US or worse were enrolled in this prospective study in Japan from 2013 to 2014. LBC and CS samples were prepared by a split-sampling technique and evaluated blindly. The results were classified using the Bethesda System 2001. Colposcopy and biopsy were conducted simultaneously or within 4 weeks of cytology-specimen collection in all cases. Diagnostic performance was calculated in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for detection of CIN2 or worse, with a cut-off ASC-US or worse.
RESULTS: There was one unsatisfactory CS sample and the remaining 311 cases were evaluated. The sensitivities of LBC and CS were 100.0% and 98.8%, specificities were 17.2% and 23.8%, PPVs were 56.1% and 57.9% and NPVs were 100.0% and 94.7%, respectively. LBC had slightly higher sensitivity and NPV for detection of CIN2, but there was no significant difference between the two methods.
CONCLUSIONS: There was no significant difference in the diagnostic performances of LBC and CS in patients with ASC-US or worse. LBC may therefore be an alternative approach to CS for cervical cancer screening.

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Year:  2018        PMID: 29668969     DOI: 10.1093/jjco/hyy050

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  3 in total

Review 1.  A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.

Authors:  Teresa Conceição; Cristiana Braga; Luís Rosado; Maria João M Vasconcelos
Journal:  Int J Mol Sci       Date:  2019-10-15       Impact factor: 5.923

2.  Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis.

Authors:  Takayuki Takahashi; Hikaru Matsuoka; Rieko Sakurai; Jun Akatsuka; Yusuke Kobayashi; Masaru Nakamura; Takashi Iwata; Kouji Banno; Motomichi Matsuzaki; Jun Takayama; Daisuke Aoki; Yoichiro Yamamoto; Gen Tamiya
Journal:  J Gynecol Oncol       Date:  2022-05-16       Impact factor: 4.756

3.  Current status of cervical cytology during pregnancy in Japan.

Authors:  Shunji Suzuki; Eijiro Hayata; Shin-Ichi Hoshi; Akihiko Sekizawa; Yoko Sagara; Masanobu Tanaka; Katsuyuki Kinoshita; Tadaichi Kitamura
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.752

  3 in total

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