Literature DB >> 10974624

Causes of inconsistency in diagnosing and classifying intraductal proliferations of the breast. European Commission Working Group on Breast Screening Pathology.

C W Elston1, J P Sloane, I Amendoeira, N Apostolikas, J P Bellocq, S Bianchi, W Boecker, G Bussolati, D Coleman, C E Connolly, P Dervan, M Drijkoningen, V Eusebi, D Faverly, R Holland, J Jacquemier, M Lacerda, J Martinez-Penuela, C de Miguel, S Mossi, C Munt, J L Peterse, F Rank, A Reiner, M Sylvan, C A Wells, B Zafrani.   

Abstract

It is now widely recognised that classifying ductal carcinoma in situ (DCIS) of the breast and diagnosing atypical ductal hyperplasia are associated with significant interobserver variation. Two possible reasons for this inconsistency are differences in the interpretation of specified histological features and field selection where morphology is heterogeneous. In order to investigate the relative contribution of these two factors to inconsistent interpretation of intraductal proliferations, histological sections of 32 lesions were sent to 23 European pathologists followed 3 years later by images of small parts of these sections. Kappa statistics for diagnosing hyperplasia of usual type, atypical ductal hyperplasia and ductal carcinoma in situ were 0.54, 0.35 and 0.78 for sections and 0.47, 0.29 and 0.78 for images, respectively, showing that most of the inconsistency is due to differences in morphological interpretation. Improvements can thus be expected only if diagnostic criteria or methodology are changed. In contrast, kappa for classifying DCIS by growth pattern was very low at 0.23 for sections and better at 0.47 for images, reflecting the widely recognised variation in the growth pattern of DCIS. Higher kappa statistics were obtained when any mention of an individual growth pattern was included in that category, thus allowing multiple categories per case; but kappa was still higher for images than sections. Classifying DCIS by nuclear grade gave kappa values of 0.36 for sections and 0.49 for images, indicating that intralesional heterogeneity has hitherto been underestimated as a cause of inconsistency in classifying DCIS by this method. More rigorous assessment of the proportions of the different nuclear grades present could lead to an improvement in consistency.

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Year:  2000        PMID: 10974624     DOI: 10.1016/s0959-8049(00)00181-7

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  17 in total

1.  Histological features associated with diagnostic agreement in atypical ductal hyperplasia of the breast: illustrative cases from the B-Path study.

Authors:  Kimberly H Allison; Mara H Rendi; Sue Peacock; Tom Morgan; Joann G Elmore; Donald L Weaver
Journal:  Histopathology       Date:  2016-09-23       Impact factor: 5.087

2.  Diagnosing breast cancer by using Raman spectroscopy.

Authors:  Abigail S Haka; Karen E Shafer-Peltier; Maryann Fitzmaurice; Joseph Crowe; Ramachandra R Dasari; Michael S Feld
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

3.  Pathological diagnosis of columnar cell lesions of the breast: are there issues of reproducibility?

Authors:  P H Tan; B C-S Ho; S Selvarajan; W M Yap; A Hanby
Journal:  J Clin Pathol       Date:  2005-07       Impact factor: 3.411

4.  Impact of a national external quality assessment scheme for breast pathology in the UK.

Authors:  I O Ellis; D Coleman; C Wells; S Kodikara; E M Paish; S Moss; S Al-Sam; N Anderson; L Bobrow; I Buley; C E Connolly; N S Dallimore; S Hales; A Hanby; S Humphreys; F Knox; J Lowe; J Macartney; R Nash; D Parham; J Patnick; S E Pinder; C M Quinn; A J Robertson; J Shrimankar; R A Walker; R Winder
Journal:  J Clin Pathol       Date:  2006-02       Impact factor: 3.411

5.  Diagnostic accuracy of core biopsy for ductal carcinoma in situ and its implications for surgical practice.

Authors:  M F Dillon; C M Quinn; E W McDermott; A O'Doherty; N O'Higgins; A D K Hill
Journal:  J Clin Pathol       Date:  2006-07       Impact factor: 3.411

Review 6.  Molecular genetics of solid tumours: translating research into clinical practice. What we could do now: breast cancer.

Authors:  S R Lakhani
Journal:  Mol Pathol       Date:  2001-10

7.  Against diagnosis.

Authors:  Andrew J Vickers; Ethan Basch; Michael W Kattan
Journal:  Ann Intern Med       Date:  2008-08-05       Impact factor: 25.391

8.  Understanding diagnostic variability in breast pathology: lessons learned from an expert consensus review panel.

Authors:  Kimberly H Allison; Lisa M Reisch; Patricia A Carney; Donald L Weaver; Stuart J Schnitt; Frances P O'Malley; Berta M Geller; Joann G Elmore
Journal:  Histopathology       Date:  2014-04-02       Impact factor: 5.087

Review 9.  High-risk lesions of the breast: concurrent diagnostic tools and management recommendations.

Authors:  Francesca Catanzariti; Daly Avendano; Giuseppe Cicero; Margarita Garza-Montemayor; Carmelo Sofia; Emmanuele Venanzi Rullo; Giorgio Ascenti; Katja Pinker-Domenig; Maria Adele Marino
Journal:  Insights Imaging       Date:  2021-05-26

10.  The expression of FHIT, PCNA and EGFR in benign and malignant breast lesions.

Authors:  G Terry; L Ho; P Londesborough; C Duggan; A Hanby; J Cuzick
Journal:  Br J Cancer       Date:  2006-12-12       Impact factor: 7.640

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