Literature DB >> 9450574

Statewide study of diagnostic agreement in breast pathology.

W A Wells1, P A Carney, M S Eliassen, A N Tosteson, E R Greenberg.   

Abstract

BACKGROUND: This study assessed the degree of diagnostic agreement among community-based general pathologists reading slides of representative breast tissue specimens and tested whether diagnostic variability is associated with type of breast specimen (e.g., core needle or excisional biopsy) or slide quality.
METHODS: Twenty-six of the 44 eligible pathologists working at community-based pathology practices in New Hampshire participated. Each pathologist evaluated slides of breast tissue obtained from 30 case subjects randomly selected from a statewide breast pathology database. The diagnostic categories used were benign, benign with atypia, noninvasive malignant, and invasive malignant. The levels of agreement (i.e., kappa coefficients) for the diagnoses were assessed.
RESULTS: Agreement was high among pathologists for assignment of diagnostic category (kappa coefficient = 0.71) and was nearly perfect for their selection of benign versus malignant categories (kappa coefficient = 0.95). There was less agreement for the categories of noninvasive malignant and benign with atypia (kappa coefficients of 0.59 and 0.22, respectively). There was no apparent relationship between levels of diagnostic agreement and specimen type or perceived slide quality.
CONCLUSIONS: Diagnostic agreement for breast tissue specimens is high overall among community-based pathologists, but clinically relevant disagreements may occur in the assessment of noninvasive malignant diagnoses. The establishment of reread policies for certain diagnostic categories may reduce the possibility that diagnostic misclassification will lead to overtreatment or undertreatment. The high degree of diagnostic reproducibility for invasive cancerous lesions of the breast suggests that it is unnecessary for a central review of these lesions in national cancer trials.

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Year:  1998        PMID: 9450574     DOI: 10.1093/jnci/90.2.142

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  14 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.  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

3.  Can we improve breast pathology reporting practices? A community-based breast pathology quality improvement program in New Hampshire.

Authors:  P A Carney; M S Eliassen; W A Wells; W G Swartz
Journal:  J Community Health       Date:  1998-04

4.  Upgrade of high-risk breast lesions detected on mammography in the Breast Cancer Surveillance Consortium.

Authors:  Tehillah S Menes; Robert Rosenberg; Steven Balch; Shabnam Jaffer; Karla Kerlikowske; Diana L Miglioretti
Journal:  Am J Surg       Date:  2013-10-07       Impact factor: 2.565

5.  Diagnostic concordance among pathologists interpreting breast biopsy specimens.

Authors:  Joann G Elmore; Gary M Longton; Patricia A Carney; Berta M Geller; Tracy Onega; Anna N A Tosteson; Heidi D Nelson; Margaret S Pepe; Kimberly H Allison; Stuart J Schnitt; Frances P O'Malley; Donald L Weaver
Journal:  JAMA       Date:  2015-03-17       Impact factor: 56.272

6.  Diagnostic Reproducibility: What Happens When the Same Pathologist Interprets the Same Breast Biopsy Specimen at Two Points in Time?

Authors:  Sara L Jackson; Paul D Frederick; Margaret S Pepe; Heidi D Nelson; Donald L Weaver; Kimberly H Allison; Patricia A Carney; Berta M Geller; Anna N A Tosteson; Tracy Onega; Joann G Elmore
Journal:  Ann Surg Oncol       Date:  2016-12-02       Impact factor: 5.344

7.  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

8.  A framework for evaluating diagnostic discordance in pathology discovered during research studies.

Authors:  Sherry Feng; Donald L Weaver; Patricia A Carney; Lisa M Reisch; Berta M Geller; Andrew Goodwin; Mara H Rendi; Tracy Onega; Kim H Allison; Anna N A Tosteson; Heidi D Nelson; Gary Longton; Margaret Pepe; Joann G Elmore
Journal:  Arch Pathol Lab Med       Date:  2014-07       Impact factor: 5.534

9.  Disease diagnostic coding to facilitate evidence-based medicine: current and future perspectives.

Authors:  Rachel J Derscheid; Michael C Rahe; Eric R Burrough; Kent J Schwartz; Bailey Arruda
Journal:  J Vet Diagn Invest       Date:  2021-03-10       Impact factor: 1.279

10.  Development of a diagnostic test set to assess agreement in breast pathology: practical application of the Guidelines for Reporting Reliability and Agreement Studies (GRRAS).

Authors:  Natalia V Oster; Patricia A Carney; Kimberly H Allison; Donald L Weaver; Lisa M Reisch; Gary Longton; Tracy Onega; Margaret Pepe; Berta M Geller; Heidi D Nelson; Tyler R Ross; Aanna N A Tosteson; Joann G Elmore
Journal:  BMC Womens Health       Date:  2013-02-05       Impact factor: 2.809

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