Literature DB >> 10912931

Histologic grading of breast cancer: linkage of patient outcome with level of pathologist agreement.

L W Dalton1, S E Pinder, C E Elston, I O Ellis, D L Page, W D Dupont, R W Blamey.   

Abstract

In the histologic grading of invasive breast cancer with the Nottingham modification of the Scarff-Bloom-Richardson grading scheme (NSBR), it has been found that when pathologists disagree, they tend not to disagree by much. However, if tumor grade is to be used as an important parameter in making treatment decisions, then even this generally small degree of pathologist variability in assessing grade needs to be correlated with patient outcome. Findings from the Nottingham/Tenovus Primary Breast Cancer Study were used for patient outcome data. Kaplan-Meier survival curves were constructed for NSBR scores grouped according to the level at which pathologists tend to agree in assessing grade, from a reproducibility perspective. For example, if a given tumor were assessed by several pathologists as having either an NSBR score of 5 or 6, then what is the correct score--the intermediate-grade Score 6 assessments or the low-grade Score 5 assessments? By "regrouping" the Nottingham outcome data such that data from patients with Score 5 tumors are grouped with patients having Score 6 tumors (a 5-6 group), then the level in which the pathologists agreed with each other (that the tumor was either score 5 or 6) is better matched with patient outcome. In response to the above example, it was not surprising to find that patients with Score 5-6 tumors had a probability of survival between the established low and intermediate NSBR final combined grades. However, it is the discussion of this approach that highlights that optimal use of grading requires awareness of the level of pathologist agreement and understanding the value of pathologists' reaching consensus in assessments. Also, knowledge of possible clinical decision thresholds can help in providing relevant interpretations of grading results.

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Year:  2000        PMID: 10912931     DOI: 10.1038/modpathol.3880126

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  44 in total

Review 1.  Prognostic factors in breast cancer: current and new predictors of metastasis.

Authors:  D F Hayes; C Isaacs; V Stearns
Journal:  J Mammary Gland Biol Neoplasia       Date:  2001-10       Impact factor: 2.673

2.  Gene expression profiles of human breast cancer progression.

Authors:  Xiao-Jun Ma; Ranelle Salunga; J Todd Tuggle; Justin Gaudet; Edward Enright; Philip McQuary; Terry Payette; Maria Pistone; Kimberly Stecker; Brian M Zhang; Yi-Xiong Zhou; Heike Varnholt; Barbara Smith; Michelle Gadd; Erica Chatfield; Jessica Kessler; Thomas M Baer; Mark G Erlander; Dennis C Sgroi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-24       Impact factor: 11.205

3.  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

4.  [Prognostic and predictive factors of invasive breast cancer: update 2009].

Authors:  T Decker; D Hungermann; W Böcker
Journal:  Pathologe       Date:  2009-02       Impact factor: 1.011

5.  Stacked Predictive Sparse Coding for Classification of Distinct Regions of Tumor Histopathology.

Authors:  Hang Chang; Yin Zhou; Paul Spellman; Bahram Parvin
Journal:  Proc IEEE Int Conf Comput Vis       Date:  2013

6.  Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association.

Authors:  Hang Chang; Ju Han; Alexander Borowsky; Leandro Loss; Joe W Gray; Paul T Spellman; Bahram Parvin
Journal:  IEEE Trans Med Imaging       Date:  2012-12-04       Impact factor: 10.048

7.  Digital pathology image analysis: opportunities and challenges.

Authors:  Anant Madabhushi
Journal:  Imaging Med       Date:  2009

Review 8.  [Translational research and diagnostics for breast cancer].

Authors:  H H Kreipe
Journal:  Pathologe       Date:  2012-11       Impact factor: 1.011

Review 9.  Laser capture microdissection and advanced molecular analysis of human breast cancer.

Authors:  Andrew P Fuller; Darryl Palmer-Toy; Mark G Erlander; Dennis C Sgroi
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

10.  Nuclear localisation of LASP-1 correlates with poor long-term survival in female breast cancer.

Authors:  J J Frietsch; T G P Grunewald; S Jasper; U Kammerer; S Herterich; M Kapp; A Honig; E Butt
Journal:  Br J Cancer       Date:  2010-05-11       Impact factor: 7.640

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