Literature DB >> 2361652

Reporting cervical intra-epithelial neoplasia (CIN): intra- and interpathologist variation and factors associated with disagreement.

S M Ismail1, A B Colclough, J S Dinnen, D Eakins, D M Evans, E Gradwell, J P O'Sullivan, J M Summerell, R Newcombe.   

Abstract

Eight histopathologists, based at different hospitals, who had previously examined 100 consecutive colposcopic cervical biopsies were circulated with the results of the initial study. The slides were then 'reblinded' and re-examined by the pathologists who, as before, assigned them into one of six diagnostic categories. The degree of interpathologist agreement for the seven observers who returned usable responses was characterized by kappa statistics and compared to the corresponding figures for the same observers from the previous study. Although some of the observers showed significant alterations in their diagnostic practices there was persistent poor agreement for CIN 1 and 2, mediocre agreement for CIN 3 and excellent agreement for invasive carcinoma. Intra-observer agreement was consistently better than inter-observer agreement for each of the diagnostic categories. Significant differences were found among observers in the degree of intra-observer variability. The 20 cases in which there was most disagreement were re-examined by one of the authors who compared these with 20 biopsies which caused little disagreement. Disagreement was considered to be associated with florid papilloma-virus changes, basal cell hyperplasia and severe inflammation in varying combinations. On the basis of these findings we suggest changes in the terminology of CIN lesions.

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Year:  1990        PMID: 2361652     DOI: 10.1111/j.1365-2559.1990.tb01141.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  11 in total

1.  Current views on CIN.

Authors:  S M Ismail
Journal:  J Clin Pathol       Date:  1992-05       Impact factor: 3.411

2.  A fusion-based approach for uterine cervical cancer histology image classification.

Authors:  Soumya De; R Joe Stanley; Cheng Lu; Rodney Long; Sameer Antani; George Thoma; Rosemary Zuna
Journal:  Comput Med Imaging Graph       Date:  2013-09-01       Impact factor: 4.790

Review 3.  Dynamic behavioural interpretation of cervical intraepithelial neoplasia with molecular biomarkers.

Authors:  J P A Baak; A-J Kruse; S J Robboy; E A M Janssen; B van Diermen; I Skaland
Journal:  J Clin Pathol       Date:  2006-05-05       Impact factor: 3.411

4.  Agreement between the AMPLICOR Human Papillomavirus Test and the Hybrid Capture 2 assay in detection of high-risk human papillomavirus and diagnosis of biopsy-confirmed high-grade cervical disease.

Authors:  Francesca Carozzi; Simonetta Bisanzi; Cristina Sani; Marco Zappa; Silvia Cecchini; Stefano Ciatto; Massimo Confortini
Journal:  J Clin Microbiol       Date:  2006-11-22       Impact factor: 5.948

5.  Quantitative spectroscopic imaging for non-invasive early cancer detection.

Authors:  Chung-Chieh Yu; Condon Lau; Geoffrey O'Donoghue; Jelena Mirkovic; Sasha McGee; Luis Galindo; Alphi Elackattu; Elizabeth Stier; Gregory Grillone; Kamran Badizadegan; Ramachandra R Dasari; Michael S Feld
Journal:  Opt Express       Date:  2008-09-29       Impact factor: 3.894

6.  Stereological estimates of nuclear volume in squamous cell carcinoma of the uterine cervix and its precursors.

Authors:  F B Sørensen; P Bichel; A Jakobsen
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1991

7.  Interobserver variation in the diagnosis and grading of dyskaryosis in cervical smears: specialist cytopathologists compared with non-specialists.

Authors:  J P O'Sullivan; S M Ismail; W S Barnes; A R Deery; E Gradwell; J A Harvey; O A Husain; G Kocjan; G McKee; R Olafsdottir
Journal:  J Clin Pathol       Date:  1994-06       Impact factor: 3.411

8.  Role of protein biomarkers in the detection of high-grade disease in cervical cancer screening programs.

Authors:  Charlotte A Brown; Johnannes Bogers; Shaira Sahebali; Christophe E Depuydt; Frans De Prins; Douglas P Malinowski
Journal:  J Oncol       Date:  2012-02-28       Impact factor: 4.375

9.  Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin.

Authors:  Juliana M Haggerty; Xiao N Wang; Anne Dickinson; Chris J O'Malley; Elaine B Martin
Journal:  BMC Med Imaging       Date:  2014-02-12       Impact factor: 1.930

10.  Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels.

Authors:  Sudhir Sornapudi; Ronald Joe Stanley; William V Stoecker; Haidar Almubarak; Rodney Long; Sameer Antani; George Thoma; Rosemary Zuna; Shelliane R Frazier
Journal:  J Pathol Inform       Date:  2018-03-05
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