Literature DB >> 8194018

Histologic grading of breast carcinoma. A reproducibility study.

L W Dalton1, D L Page, W D Dupont.   

Abstract

BACKGROUND: A concern with the histologic grading of breast cancer is that tumor grading is a subjective evaluation that may have problems with reproducibility.
METHODS: A single slide from 10 invasive breast cancers was submitted to 25 pathologists who practice in six separate groups. Pathologists graded the tumors using a modified Bloom-Richardson (B-R) scheme, and the results were compared.
RESULTS: In 8 of the 10 cases, there was greater than 87% agreement by the pathologists as to the final combined B-R grade, with complete agreement in 2 cases. Only one case had any discrepant opinions that ranged from low to high grade, and this involved only 3 of the 25 pathologists. With respect to B-R score, the pathologists tended to score the tumors as either one of two adjacent scores. Due to this clustering, the B-R scheme appears reproducible into five groups: very low and very high grade tumors and B-R score "5,6," "6,7," and "7,8" tumors. This clustering was especially noticeable in two cases with split decisions, in which the discrepancy in final combined grade was largely due to the tumors being given B-R scores that straddled and were then condensed into two B-R grades. A consensus from each pathology group tended to merge with the majority opinion of all 25 pathologists and was correct for outliers.
CONCLUSIONS: This study indicates that reproducibility of grading breast cancers can be achieved when a histologic grading scheme with specified guidelines is used. Pathologists must be aware of the limits of reproducibility, with appropriate guidelines being followed to help optimize agreement, and there should be an awareness of how pathologists group in their evaluations. Also, it may be advisable to better correlate or link reproducibility data with prognostic data in the design of grading schemes.

Entities:  

Mesh:

Year:  1994        PMID: 8194018     DOI: 10.1002/1097-0142(19940601)73:11<2765::aid-cncr2820731119>3.0.co;2-k

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  36 in total

Review 1.  Preoperative assessment of prognostic factors in breast cancer.

Authors:  H Denley; S E Pinder; C W Elston; A H Lee; I O Ellis
Journal:  J Clin Pathol       Date:  2001-01       Impact factor: 3.411

2.  Accuracy of typing and grading invasive mammary carcinomas on core needle biopsy compared with the excisional specimen.

Authors:  Victor Piana de Andrade; Helenice Gobbi
Journal:  Virchows Arch       Date:  2004-10-08       Impact factor: 4.064

3.  Why I became a surgical pathologist with interest in breast disease.

Authors:  David L Page
Journal:  J Clin Pathol       Date:  2006-05-26       Impact factor: 3.411

Review 4.  An overview of assessment of prognostic and predictive factors in breast cancer needle core biopsy specimens.

Authors:  E A Rakha; I O Ellis
Journal:  J Clin Pathol       Date:  2007-07-14       Impact factor: 3.411

5.  Breast cancer guidelines for Uganda (2nd Edition 2008).

Authors:  A Gakwaya; M Galukande; A Luwaga; J Jombwe; J Fualal; E Kiguli-Malwadde; P Baguma; A Kanyike; J B Kigula-Mugamba
Journal:  Afr Health Sci       Date:  2008-06       Impact factor: 0.927

6.  Estrogen effects on epithelial proliferation and benign proliferative lesions in the postmenopausal primate mammary gland.

Authors:  Charles E Wood; Joy M Hester; Susan E Appt; Kim R Geisinger; J Mark Cline
Journal:  Lab Invest       Date:  2008-07-07       Impact factor: 5.662

7.  A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Authors:  David Romo-Bucheli; Andrew Janowczyk; Hannah Gilmore; Eduardo Romero; Anant Madabhushi
Journal:  Cytometry A       Date:  2017-02-13       Impact factor: 4.355

8.  [Improvement of breast cancer grading in punch biopsies: grading with the Ki-67 marker].

Authors:  R von Wasielewski; K Klöpper; H J Lück; H Kreipe
Journal:  Pathologe       Date:  2006-09       Impact factor: 1.011

9.  Histopathologic features predict survival in diffuse pleural malignant mesothelioma on pleural biopsies.

Authors:  Cyril Habougit; Béatrice Trombert-Paviot; Georgia Karpathiou; François Casteillo; Sophie Bayle-Bleuez; Pierre Fournel; Jean-Michel Vergnon; Olivier Tiffet; Michel Péoc'h; Fabien Forest
Journal:  Virchows Arch       Date:  2017-03-27       Impact factor: 4.064

10.  Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features.

Authors:  Lori J Goldstein; Robert Gray; Sunil Badve; Barrett H Childs; Carl Yoshizawa; Steve Rowley; Steven Shak; Frederick L Baehner; Peter M Ravdin; Nancy E Davidson; George W Sledge; Edith A Perez; Lawrence N Shulman; Silvana Martino; Joseph A Sparano
Journal:  J Clin Oncol       Date:  2008-08-04       Impact factor: 44.544

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