Literature DB >> 2101675

Cytological grading of breast carcinoma--a feasible proposition?

C M Hunt1, I O Ellis, C W Elston, A Locker, D Pearson, R W Blamey.   

Abstract

Fine needle aspiration cytology (FNAC) of the breast is widely used in the diagnosis of breast carcinoma. In some centres this is sometimes the only diagnostic procedure performed prior to definitive treatment. A grading system based on cytology would be helpful in the selection of patients for appropriate therapy. The aim of this study, therefore, was to devise such a system for grading breast carcinoma based on cytological features alone. The features assessed were the degree of cell clustering, nuclear pleomorphism, nuclear diameter, the presence of multiple, easily visible nucleoli and necrosis. Cytological features were compared to the histological grade of the tumours following excision. Discriminant analysis showed that the features with the closest correlation with histological grade were nuclear diameter, nuclear pleomorphism and the presence of nucleoli. A scoring system based on these three parameters enabled the classification of tumours into high and low cytological grades which showed a close correlation with histological grade.

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Mesh:

Year:  1990        PMID: 2101675     DOI: 10.1111/j.1365-2303.1990.tb00362.x

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  11 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.  Bayesian Belief Network in histopathology.

Authors:  T W Shek
Journal:  J Clin Pathol       Date:  1996-10       Impact factor: 3.411

3.  Prognostic factors in primary breast carcinoma.

Authors:  S E Pinder; I O Ellis; C W Elston
Journal:  J Clin Pathol       Date:  1995-11       Impact factor: 3.411

Review 4.  Guidelines from the European Society of Breast Imaging for diagnostic interventional breast procedures.

Authors:  Matthew Wallis; Anne Tardivon; Anne Tarvidon; Thomas Helbich; Ingrid Schreer
Journal:  Eur Radiol       Date:  2007-02       Impact factor: 7.034

5.  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

6.  To Evaluate the Applicability of Parameters of Cytological Grading Systems on Aspirates of Breast Carcinoma.

Authors:  Priyanshu Srivastava; Binay Kumar; Usha Joshi; Mehar Bano
Journal:  J Cytol       Date:  2018 Jan-Mar       Impact factor: 1.000

7.  A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.

Authors:  Sergey Klimov; Islam M Miligy; Arkadiusz Gertych; Yi Jiang; Michael S Toss; Padmashree Rida; Ian O Ellis; Andrew Green; Uma Krishnamurti; Emad A Rakha; Ritu Aneja
Journal:  Breast Cancer Res       Date:  2019-07-29       Impact factor: 6.466

8.  Expansion of Masood's cytologic index for breast carcinoma and its validity.

Authors:  Ts Rekha; Nm Nandini; Murali Dhar
Journal:  J Cytol       Date:  2013-10       Impact factor: 1.000

Review 9.  Cytological Grading of Breast Tumors-The Human and Canine Perspective.

Authors:  Krithiga Kuppusamy; Aarathi Rajan; Aarathy Warrier; Revathy Nadhan; Dipyaman Patra; Priya Srinivas
Journal:  Front Vet Sci       Date:  2019-08-27

10.  FNAC of Breast Lesions with Special Reference to IAC Standardized Reporting and Comparative Study of Cytohistological Grading of Breast Carcinoma.

Authors:  Hemlata Panwar; Pooja Ingle; Tummidi Santosh; Vandita Singh; Amit Bugalia; Nighat Hussain
Journal:  J Cytol       Date:  2019-12-23       Impact factor: 1.000

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