Literature DB >> 1964730

Histological grading of breast cancer. Interobserver, reproducibility and prognostic significance.

F Theissig1, K D Kunze, G Haroske, W Meyer.   

Abstract

A study was conducted to assess the reproducibility and prognostic significance of the histopathological grading by using the criteria of Bloom and Richardson. 166 breast carcinomas of the invasive ductal type (NOS - not otherwise specified) according to the WHO criteria, selected from the biopsy material of the years 1980 to 1988 were investigated. 85 of the patients presented axillary lymph node metastases in the mastectomy specimens. A satisfactory correlation of histopathological grades assessed by three pathologists was found in 72.3% of all cases. Fifteen cases (9%) were over- and 31 cases (18.7%) were underestimated compared with an expert's grade. A disagreement of two grades occurred in one case only. In comparison of grade 1 and grade 3 tumours as well as of grade 2 and grade 3 tumours significant differences in the overall survival could be found. Irrespective of statistically significant differences between the three grades in actuarial survival, the histopathological grading is of rather low value for the prediction of prognosis of individual patients.

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Year:  1990        PMID: 1964730     DOI: 10.1016/S0344-0338(11)80263-3

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  16 in total

1.  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

2.  Mitotic indexes as prognostic predictors in female breast cancer.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1992       Impact factor: 4.553

3.  The lectin-binding sites for peanut agglutinin in invasive breast ductal carcinomas and their role as a prognostic factor.

Authors:  E Mustac; M Melato; F Sasso; T Valkovic; C Bottin; N Jonjic
Journal:  J Cancer Res Clin Oncol       Date:  1996       Impact factor: 4.553

4.  Quantitative histopathology in lymph node-negative breast cancer. Prognostic significance of mitotic counts.

Authors:  M Ladekarl; V Jensen
Journal:  Virchows Arch       Date:  1995       Impact factor: 4.064

Review 5.  Progress on deep learning in digital pathology of breast cancer: a narrative review.

Authors:  Jingjin Zhu; Mei Liu; Xiru Li
Journal:  Gland Surg       Date:  2022-04

6.  Grading invasive ductal carcinoma of the breast: advantages of using automated proliferation index instead of mitotic count.

Authors:  Ossama Tawfik; Bruce F Kimler; Marilyn Davis; Christopher Stasik; Sue-Min Lai; Matthew S Mayo; Fang Fan; John K Donahue; Ivan Damjanov; Patricia Thomas; Carol Connor; William R Jewell; Holly Smith; Carol J Fabian
Journal:  Virchows Arch       Date:  2007-04-26       Impact factor: 4.064

Review 7.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

8.  Prognostic value of proliferating cell nuclear antigen and c-erbB-2 compared with conventional histopathological factors in breast cancer.

Authors:  I Schönborn; W Zschiesche; C Minguillon; E Spitzer; M Möhner; K Ebeling; R Grosse
Journal:  J Cancer Res Clin Oncol       Date:  1995       Impact factor: 4.553

Review 9.  Breast cancer prognostic classification in the molecular era: the role of histological grade.

Authors:  Emad A Rakha; Jorge S Reis-Filho; Frederick Baehner; David J Dabbs; Thomas Decker; Vincenzo Eusebi; Stephen B Fox; Shu Ichihara; Jocelyne Jacquemier; Sunil R Lakhani; José Palacios; Andrea L Richardson; Stuart J Schnitt; Fernando C Schmitt; Puay-Hoon Tan; Gary M Tse; Sunil Badve; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2010-07-30       Impact factor: 6.466

10.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

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