Literature DB >> 1641262

Histological grading in breast cancer: interobserver agreement, and relation to other prognostic factors including ploidy.

J M Harvey1, N H de Klerk, G F Sterrett.   

Abstract

Sections of neoplasms from 76 female patients with primary operable carcinoma of the breast were independently assessed by 2 pathologists for histological features and assigned a grade score. Relative disagreement rates between pathologists were estimated by use of a log-linear model and found to be similar to those reported by many other groups, but higher than that reported by acknowledged experts. Tumor grade was related to nuclear DNA content as measured by static cytometry, inversely related to oestrogen receptor status and provided some additional prognostic information but, in this small series of patients, did not correlate with short-term survival as closely as other prognostic indicators such as ploidy, tumor size or the extent of lymph node involvement. Patients with Grade III tumors had a particularly poor prognosis, however, there were few patients allotted to Grade III (poorly differentiated tumors), and survival differences between Grades I and II were small; in short-term followup, used alone, grading separated out only a small proportion of patients into useful prognostic groups. This preliminary study emphasizes the need for a careful approach to the use of grading of breast carcinomas in the routine histopathology laboratory. Demonstration of higher levels of interobserver agreement, or concordance with experts in the field, will be necessary before our grading can be incorporated into a prognostic index useful for patient management.

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Year:  1992        PMID: 1641262     DOI: 10.3109/00313029209063625

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  9 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.  Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study.

Authors:  Ziba Gandomkar; Patrick C Brennan; Claudia Mello-Thoms
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

3.  A qualitative transcriptional signature to reclassify histological grade of ER-positive breast cancer patients.

Authors:  Jing Li; Wenbin Jiang; Qirui Liang; Guanghao Liu; Yupeng Dai; Hailong Zheng; Jing Yang; Hao Cai; Guo Zheng
Journal:  BMC Genomics       Date:  2020-04-06       Impact factor: 3.969

4.  Predicting axillary lymph node metastases in breast carcinoma patients.

Authors:  P L Choong; C J deSilva; H J Dawkins; G F Sterrett; P Robbins; J M Harvey; J Papadimitriou; Y Attikiouzel
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

5.  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 6.  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

7.  Assessment of tumour proliferation by use of the mitotic activity index, and Ki67 and phosphohistone H3 expression, in early-stage luminal breast cancer.

Authors:  Julia E C van Steenhoven; Anne Kuijer; Robert Kornegoor; Gijs van Leeuwen; Joost van Gorp; Thijs van Dalen; Paul J van Diest
Journal:  Histopathology       Date:  2020-08-30       Impact factor: 5.087

8.  Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images.

Authors:  Suzanne C Wetstein; Vincent M T de Jong; Nikolas Stathonikos; Mark Opdam; Gwen M H E Dackus; Josien P W Pluim; Paul J van Diest; Mitko Veta
Journal:  Sci Rep       Date:  2022-09-06       Impact factor: 4.996

9.  The prognostic value of mitotic activity index (MAI), phosphohistone H3 (PPH3), cyclin B1, cyclin A, and Ki67, alone and in combinations, in node-negative premenopausal breast cancer.

Authors:  Marie Klintman; Carina Strand; Cecilia Ahlin; Sanda Beglerbegovic; Marie-Louise Fjällskog; Dorthe Grabau; Einar Gudlaugsson; Emiel A M Janssen; Kristina Lövgren; Ivar Skaland; Pär-Ola Bendahl; Per Malmström; Jan P A Baak; Mårten Fernö
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

  9 in total

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