Literature DB >> 18043039

Longitudinal evaluation of interobserver and intraobserver agreement of cervical intraepithelial neoplasia diagnosis among an experienced panel of gynecologic pathologists.

Bing Cai1, Brigitte M Ronnett, Mark Stoler, Alex Ferenczy, Robert J Kurman, David Sadow, Fran Alvarez, Jay Pearson, Heather L Sings, Eliav Barr, Kai-Li Liaw.   

Abstract

Histologic diagnoses of cervical intraepithelial neoplasia grades 2 and 3 (CIN 2/3) are the key end points in clinical trials that evaluate the efficacy of a prophylactic quadrivalent human papillomavirus vaccine against cervical cancer. Adjudication of end points uses a panel of 4 pathologists. Quality control slides (n=185) from a nonclinical trial study with preestablished gold standard CIN diagnoses were used to characterize the panel's agreement on CIN diagnoses and monitor performance longitudinally. At 3-month intervals over 2 years, 1 of 6 different batches of quality control slides (n=30-31) was included with clinical trial slides for independent review by each of the 4 panelists. Unweighted kappas (kappa) were estimated within each panelist pair by dichotomizing the diagnoses as CIN+ versus non-CIN+ (including normal, unsatisfactory, and atypical immature metaplasia) or CIN 2/3+ versus non-CIN 2/3+ (including normal, unsatisfactory, atypical immature metaplasia, and CIN 1). Quadratic weighted kappa was calculated within each panelist pair using 4 diagnostic categories: normal, CIN 1, CIN 2, and CIN 3 or worse. Substantial interobserver agreement was observed (weighted kappa=0.765 to 0.865). Agreement with weighted kappa=0.779 to 0.887 was observed between the individual panelists and the gold standard, which is almost perfect agreement by Landis-defined categories. Intraobserver agreement was very high (weighted kappa=0.756 to 0.883). Some fluctuation in intraobserver and interobserver agreement was observed over the study period but there was no decreasing time trend. These data indicate that the interpretation of histologic end points used in the quadrivalent vaccine clinical trial program is highly valid and reliable.

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Year:  2007        PMID: 18043039     DOI: 10.1097/PAS.0b013e318058a544

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  8 in total

1.  Automated Cervical Digitized Histology Whole-Slide Image Analysis Toolbox.

Authors:  Sudhir Sornapudi; Ravitej Addanki; R Joe Stanley; William V Stoecker; Rodney Long; Rosemary Zuna; Shellaine R Frazier; Sameer Antani
Journal:  J Pathol Inform       Date:  2021-06-09

2.  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

3.  Expression pattern and subcellular localization of human papillomavirus minor capsid protein L2.

Authors:  Zhenhua Lin; Anna V Yemelyanova; Ratish Gambhira; Subhashini Jagu; Craig Meyers; Reinhard Kirnbauer; Brigitte M Ronnett; Patti E Gravitt; Richard B S Roden
Journal:  Am J Pathol       Date:  2008-12-18       Impact factor: 4.307

Review 4.  p16ink4 and cytokeratin 7 immunostaining in predicting HSIL outcome for low-grade squamous intraepithelial lesions: a case series, literature review and commentary.

Authors:  Eric C Huang; Mary M Tomic; Suchanan Hanamornroongruang; Emily E Meserve; Michael Herfs; Christopher P Crum
Journal:  Mod Pathol       Date:  2016-08-12       Impact factor: 7.842

5.  Diagnostic imaging of cervical intraepithelial neoplasia based on hematoxylin and eosin fluorescence.

Authors:  Mario R Castellanos; Anita Szerszen; Stephen Gundry; Edyta C Pirog; Mitchell Maiman; Sritha Rajupet; John Paul Gomez; Adi Davidov; Priya Ranjan Debata; Probal Banerjee; Jimmie E Fata
Journal:  Diagn Pathol       Date:  2015-07-25       Impact factor: 2.644

6.  The Interpretive Variability of Cervical Biopsies and Its Relationship to HPV Status.

Authors:  Mark H Stoler; Brigitte M Ronnett; Nancy E Joste; William C Hunt; Jack Cuzick; Cosette M Wheeler
Journal:  Am J Surg Pathol       Date:  2015-06       Impact factor: 6.394

7.  Can the dynamic spectral imaging (DSI) color map improve colposcopy examination for precancerous cervical lesions? A prospective evaluation of the DSI color map in a multi-biopsy clinical setting.

Authors:  Berit Bargum Booth; Lone Kjeld Petersen; Jan Blaakaer; Tonje Johansen; Henrik Mertz; Katja Dahl; Pinar Bor
Journal:  BMC Womens Health       Date:  2021-01-12       Impact factor: 2.809

8.  DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy.

Authors:  Sudhir Sornapudi; R Joe Stanley; William V Stoecker; Rodney Long; Zhiyun Xue; Rosemary Zuna; Shellaine R Frazier; Sameer Antani
Journal:  J Pathol Inform       Date:  2020-12-24
  8 in total

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