Literature DB >> 19608079

Histologic grading of invasive lobular carcinoma: does use of a 2-tiered nuclear grading system improve interobserver variability?

Amy L Adams1, David C Chhieng, Walter C Bell, Tom Winokur, Omar Hameed.   

Abstract

The Nottingham histologic grade (NHG) is a prognostic marker for infiltrating ductal carcinoma. Its usefulness for invasive lobular carcinoma (ILC) has been less clear, given that 2 of the 3 parameters, tubule formation and mitotic activity, show little variation in ILC, placing much of the emphasis on nuclear grade. We have previously reported a trend for improved overall and relapse-free survival in patients with ILC of low nuclear grade, as classified by a 2-tiered nuclear grading system. Given the inherent potential for interobserver variability with any grading system, the goal of this study is to compare interobserver variability in the grading of ILC using a 2-tiered nuclear grade vs the NHG. Thirty-eight cases of ILC were graded independently by 5 pathologists using NHG criteria. Tumors were also categorized by a nuclear grading system as low grade (grade 1 nuclei) or high grade (grades 2-3 nuclei). Pairwise kappa values and interobserver agreement rates were calculated for both NHG and nuclear grade. Results were compared using the paired t test. Mean interobserver agreement rates and kappa values improved with use of the nuclear grading system as compared to NHG (83% vs 70%, 0.4738 vs 0.3228, respectively). The differences between the 2 were statistically significant. Because histologic grade has significant prognostic implications for patients with breast cancer, accurate reporting is paramount. For ILC, where use of the NHG places substantial weight on nuclear pleomorphism, a 2-tiered nuclear grading system may reduce interobserver variability yet still provide useful prognostic information.

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Year:  2009        PMID: 19608079     DOI: 10.1016/j.anndiagpath.2009.03.004

Source DB:  PubMed          Journal:  Ann Diagn Pathol        ISSN: 1092-9134            Impact factor:   2.090


  5 in total

Review 1.  Practical implications of gene-expression-based assays for breast oncologists.

Authors:  Aleix Prat; Matthew J Ellis; Charles M Perou
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

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

Review 3.  Invasive lobular carcinoma: an understudied emergent subtype of breast cancer.

Authors:  Jason A Mouabbi; Amy Hassan; Bora Lim; Gabriel N Hortobagyi; Debasish Tripathy; Rachel M Layman
Journal:  Breast Cancer Res Treat       Date:  2022-03-26       Impact factor: 4.872

4.  Reproducibility and Feasibility of Classification and National Guidelines for Histological Diagnosis of Canine Mammary Gland Tumours: A Multi-Institutional Ring Study.

Authors:  Serenella Papparella; Maria Ines Crescio; Valeria Baldassarre; Barbara Brunetti; Giovanni P Burrai; Cristiano Cocumelli; Valeria Grieco; Selina Iussich; Lorella Maniscalco; Francesca Mariotti; Francesca Millanta; Orlando Paciello; Roberta Rasotto; Mariarita Romanucci; Alessandra Sfacteria; Valentina Zappulli
Journal:  Vet Sci       Date:  2022-07-13

5.  Reinventing diagnostics for personalized therapy in oncology.

Authors:  Diponkar Banerjee
Journal:  Cancers (Basel)       Date:  2010-06-02       Impact factor: 6.639

  5 in total

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