Literature DB >> 19864243

The reproducibility of CIN diagnoses among different pathologists: data from histology reviews from a multicenter randomized study.

Paolo Dalla Palma1, Paolo Giorgi Rossi, Guido Collina, Anna Maria Buccoliero, Bruno Ghiringhello, Eliana Gilioli, Gian Libero Onnis, Daniela Aldovini, Giuseppe Galanti, Gianpiero Casadei, Mirella Aldi, Vito V Gomes, Pamela Giubilato, Guglielmo Ronco.   

Abstract

The reproducibility of cervical histology diagnoses is critical for efficient screening and to evaluate the effectiveness of new technologies. The vast majority of cervical intraepithelial neoplasia (CIN) diagnoses reported in the New Technologies for Cervical Cancer study were blindly reviewed by 2 independent pathologists. Only H&E-stained slides were used for the review. The reviewers were asked to reclassify cases using the following categories: normal CIN 1, CIN 2, CIN 3, and squamous and glandular invasive cancer. We reviewed 1,003 cases. The interobserver agreement was 0.36 (95% confidence interval [CI], 0.32-0.40) with an unweighted kappa and 0.54 with a weighted kappa (95% CI, 0.50-0.58). The kappa values from dichotomous classifications with the threshold at CIN 2 were 0.69 (95% CI, 0.64-0.73) and 0.57 (95% CI, 0.51-0.63) with the threshold at CIN 3. The CIN 2 diagnosis had the lowest class-specific agreement, with fewer than 50% of cases confirmed by the panel members, which supports the fact that CIN 2 is not a well-defined stage in the pathogenesis of cervical neoplasia.

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Year:  2009        PMID: 19864243     DOI: 10.1309/AJCPBRK7D1YIUWFP

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  22 in total

Review 1.  Human papillomavirus testing in the prevention of cervical cancer.

Authors:  Mark Schiffman; Nicolas Wentzensen; Sholom Wacholder; Walter Kinney; Julia C Gage; Philip E Castle
Journal:  J Natl Cancer Inst       Date:  2011-01-31       Impact factor: 13.506

2.  Rate of and risks for regression of cervical intraepithelial neoplasia 2 in adolescents and young women.

Authors:  Anna-Barbara Moscicki; Yifei Ma; Charles Wibbelsman; Teresa M Darragh; Adaleen Powers; Sepideh Farhat; Stephen Shiboski
Journal:  Obstet Gynecol       Date:  2010-12       Impact factor: 7.661

3.  [Correlation of cervical cytology and histology].

Authors:  K Marquardt
Journal:  Pathologe       Date:  2011-11       Impact factor: 1.011

4.  Age-group differences in human papillomavirus types and cofactors for cervical intraepithelial neoplasia 3 among women referred to colposcopy.

Authors:  Julia W Gargano; Rosane Nisenbaum; Daisy R Lee; Mack T Ruffin; Martin Steinau; Ira R Horowitz; Lisa C Flowers; Talaat S Tadros; George Birdsong; Elizabeth R Unger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-10-25       Impact factor: 4.254

5.  Does CIN2 Have the Same Aggressive Potential As CIN3? A Secondary Analysis of High-Grade Cytology Recurrence in Women Treated with Cold-Coagulation Cervical Treatment.

Authors:  D Papoutsis; M Underwood; W Parry-Smith; J Panikkar
Journal:  Geburtshilfe Frauenheilkd       Date:  2017-03       Impact factor: 2.915

Review 6.  Human papillomavirus infection, cervical cancer and the less explored role of trace elements.

Authors:  Anne Boyina Sravani; Vivek Ghate; Shaila Lewis
Journal:  Biol Trace Elem Res       Date:  2022-04-25       Impact factor: 3.738

7.  Automatic measurement of epithelium differentiation and classification of cervical intraneoplasia by computerized image analysis.

Authors:  Michel Jondet; Régis Agoli-Agbo; Louis Dehennin
Journal:  Diagn Pathol       Date:  2010-01-22       Impact factor: 2.644

8.  Population-based surveillance for cervical cancer precursors in three central cancer registries, United States 2009.

Authors:  Elaine W Flagg; S Deblina Datta; Mona Saraiya; Elizabeth R Unger; Edward Peters; Lauren Cole; Vivien W Chen; Thomas Tucker; Mary Jane Byrne; Glenn Copeland; Won Silva; Meg Watson; Hillard Weinstock
Journal:  Cancer Causes Control       Date:  2014-02-28       Impact factor: 2.506

9.  Feasibility of fully automated classification of whole slide images based on deep learning.

Authors:  Kyung-Ok Cho; Sung Hak Lee; Hyun-Jong Jang
Journal:  Korean J Physiol Pharmacol       Date:  2020-12-20       Impact factor: 2.016

10.  An epigenomic landscape of cervical intraepithelial neoplasia and cervical cancer using single-base resolution methylome and hydroxymethylome.

Authors:  Yingxin Han; Liyan Ji; Yanfang Guan; Mengya Ma; Pansong Li; Yinge Xue; Yinxin Zhang; Wanqiu Huang; Yuhua Gong; Li Jiang; Xipeng Wang; Hong Xie; Boping Zhou; Jiayin Wang; Junwen Wang; Jinghua Han; Yuliang Deng; Xin Yi; Fei Gao; Jian Huang
Journal:  Clin Transl Med       Date:  2021-07
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