Literature DB >> 8050325

Prognostic factors from the fine-needle aspirate: breast carcinoma nuclear grade.

D J Dabbs1, J F Silverman.   

Abstract

Two of the most important microscopically derived morphologic prognostic factors for breast carcinoma patients are histologic type of tumor and nuclear grade. The recent literature stresses the importance of including these parameters in the surgical pathology report, yet there is little information in the cytology literature regarding the reporting of the nuclear grade of breast carcinomas from fine-needle aspirate biopsies (FNAB). In this retrospective study, we examined 104 ductal carcinomas of the breast in order to determine whether the FNAB derived nuclear grade and morphologic aspects of histological grading such as tubule formation and mitoses could accurately correlate with the same parameters on the tissue specimens. There was a correlation of 87% between the nuclear grade assigned by FNAB and the nuclear grade assigned to the tissue sample. Both the Diff-Quik and the Papanicolaou staining methods were assessed in this study and both gave comparable nuclear grade results. Tubule formation was difficult to assess on the cytologic samples and mitoses showed no correlation between cytologic and tissue specimens. The FNAB sample was not representative of the tissue nuclear grade in only 4.8% of the cases. Nuclear grade is especially important in patients treated with chemotherapy prior to definitive therapy for breast carcinoma. We conclude that the nuclear grading of breast carcinomas is performed with ease, correlates well with tissue nuclear grade, and, as a fundamental cytologic parameter, should be included in the fine-needle aspirate biopsy report whenever possible.

Entities:  

Mesh:

Year:  1994        PMID: 8050325     DOI: 10.1002/dc.2840100302

Source DB:  PubMed          Journal:  Diagn Cytopathol        ISSN: 1097-0339            Impact factor:   1.582


  8 in total

Review 1.  Preoperative assessment of prognostic factors in breast cancer.

Authors:  H Denley; S E Pinder; C W Elston; A H Lee; I O Ellis
Journal:  J Clin Pathol       Date:  2001-01       Impact factor: 3.411

2.  High-throughput molecular analysis from leftover of fine needle aspiration cytology of mammographically detected breast cancer.

Authors:  Laura Annaratone; Caterina Marchiò; Tommaso Renzulli; Isabella Castellano; Daniela Cantarella; Claudio Isella; Luigia Macrì; Giovanna Mariscotti; Davide Balmativola; Elisabetta Cantanna; Cristina Deambrogio; Francesca Pietribiasi; Riccardo Arisio; Fernando Schmitt; Enzo Medico; Anna Sapino
Journal:  Transl Oncol       Date:  2012-06-01       Impact factor: 4.243

3.  Comparative evaluation of six cytological grading systems in breast carcinoma.

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Journal:  J Cytol       Date:  2013-04       Impact factor: 1.000

4.  Robinson's cytological grading on aspirates of breast carcinoma: Correlation with Bloom Richardson's histological grading.

Authors:  Sk Sinha; Namita Sinha; Ranjana Bandyopadhyay; Santosh K Mondal
Journal:  J Cytol       Date:  2009-10       Impact factor: 1.000

5.  Comparative evaluation of the modified Scarff-Bloom-Richardson grading system on breast carcinoma aspirates and histopathology.

Authors:  Cherry Bansal; U S Singh; Sanjeev Misra; Kiran Lata Sharma; Vandana Tiwari; A N Srivastava
Journal:  Cytojournal       Date:  2012-01-31       Impact factor: 2.091

6.  Cytological grading of breast carcinoma on fine needle aspirates and its relation with histological grading.

Authors:  Jyoti Prakash Phukan; Anuradha Sinha; Jatindra Prasad Deka
Journal:  South Asian J Cancer       Date:  2015 Jan-Mar

7.  Comparison of 3-tier cytological grading systems for breast carcinoma.

Authors:  Dinisha Einstien; B O Parijatham Omprakash; Hemalatha Ganapathy; Sadaf Rahman
Journal:  ISRN Oncol       Date:  2014-03-12

8.  Comparative evaluation of six parametric Robinson and three parametric Howell's modification of Scarf-BloomRichardson grading method on breast aspirates with histopathology: A prospective study.

Authors:  Vaishali A Walke; Gajanan Gunjkar
Journal:  Cytojournal       Date:  2017-12-27       Impact factor: 2.091

  8 in total

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