Skip to main content
Top
Published in: Diagnostic Pathology 1/2013

Open Access 01-09-2013 | Proceedings

Automated classification of breast cancer morphology in histopathological images

Authors: Ville Ojansivu, Nina Linder, Esa Rahtu, Matti Pietikäinen, Mikael Lundin, Heikki Joensuu, Johan Lundin

Published in: Diagnostic Pathology | Special Issue 1/2013

Login to get access

Excerpt

The morphology of a breast cancer tumour, as examined through an optical microscope, is currently assessed visually by the pathologist in parallel with making the cancer diagnosis. The grade of differentiation, which describes how closely the morphology of the tumour resembles the corresponding healthy tissue of an organ, is undisputedly related to the outcome of breast cancer [1]. However, tumour grade is largely regarded as an unreliable prognostic factor due to its poor reproducibility [2]. The visually determined morphology is afflicted with a poor inter- and intra observer agreement, which prevents grade from being fully utilized as an important outcome predictor. The same pathologist may assign different grade to the same tumour when assessment is repeated, and different pathologists disagree to a substantial level when assessing the same tumour [3]. …
Literature
1.
go back to reference Elston CW, Ellis IO: Pathologic prognostic factors in breast cancer. I. The value of histological grades in breast cancer. Experience from a large study with long-term follow-up. Histopathology. 1991, 19: 403-410. 10.1111/j.1365-2559.1991.tb00229.x.CrossRefPubMed Elston CW, Ellis IO: Pathologic prognostic factors in breast cancer. I. The value of histological grades in breast cancer. Experience from a large study with long-term follow-up. Histopathology. 1991, 19: 403-410. 10.1111/j.1365-2559.1991.tb00229.x.CrossRefPubMed
2.
go back to reference Singletary SE, Allred C, Ashley P, Bassett LW, Berry D, Bland KI, Borgen PI, Clark G, Edge SB, Hayes DF, Hughes LL, Hutter RVP, Morrow M, Page DL, Recht A, Theriault RL, Thor A, Weaver DL, Wieand HS, Greene FL: Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002, 20 (17): 3628-36. 10.1200/JCO.2002.02.026.CrossRefPubMed Singletary SE, Allred C, Ashley P, Bassett LW, Berry D, Bland KI, Borgen PI, Clark G, Edge SB, Hayes DF, Hughes LL, Hutter RVP, Morrow M, Page DL, Recht A, Theriault RL, Thor A, Weaver DL, Wieand HS, Greene FL: Revision of the American Joint Committee on Cancer staging system for breast cancer. J Clin Oncol. 2002, 20 (17): 3628-36. 10.1200/JCO.2002.02.026.CrossRefPubMed
3.
go back to reference Boiesen P, Bendahl PO, Anagnostaki L, Domanski H, Holm E, Idvall I, Johansson S, Ljungberg O, Ringberg A, Ostberg G, Fernö M: Histologic grading in breast cancer: reproducibility between seven pathologic departments. Acta Oncol. 2000, South Sweden Breast Cancer Group, 39 (1): 41-5. 10.1080/028418600430950. Boiesen P, Bendahl PO, Anagnostaki L, Domanski H, Holm E, Idvall I, Johansson S, Ljungberg O, Ringberg A, Ostberg G, Fernö M: Histologic grading in breast cancer: reproducibility between seven pathologic departments. Acta Oncol. 2000, South Sweden Breast Cancer Group, 39 (1): 41-5. 10.1080/028418600430950.
5.
go back to reference Linder N, Konsti J, Turkki R, Rahtu E, Lundin M, Nordling S, Haglund C, Ahonen T, Pietikäinen M, Lundin J: Identification of tumor epithelium and stroma in tissue microarrays using texture analysis. Diagn Pathol. 2012, 7: 22-10.1186/1746-1596-7-22.PubMedCentralCrossRefPubMed Linder N, Konsti J, Turkki R, Rahtu E, Lundin M, Nordling S, Haglund C, Ahonen T, Pietikäinen M, Lundin J: Identification of tumor epithelium and stroma in tissue microarrays using texture analysis. Diagn Pathol. 2012, 7: 22-10.1186/1746-1596-7-22.PubMedCentralCrossRefPubMed
6.
go back to reference Dalle JR, Leow WK, Racoceanu D, Tutac AE, Putti TC: Automatic breast cancer grading of histopathological images. Conf Proc IEEE Eng Med Biol Soc. 2008, 3052-5. Dalle JR, Leow WK, Racoceanu D, Tutac AE, Putti TC: Automatic breast cancer grading of histopathological images. Conf Proc IEEE Eng Med Biol Soc. 2008, 3052-5.
7.
go back to reference Doyle S, Agner S, Madabhushi A, feldman M, Tomaszewski J: Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. 2008, 29: 496-499. Doyle S, Agner S, Madabhushi A, feldman M, Tomaszewski J: Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. 2008, 29: 496-499.
Metadata
Title
Automated classification of breast cancer morphology in histopathological images
Authors
Ville Ojansivu
Nina Linder
Esa Rahtu
Matti Pietikäinen
Mikael Lundin
Heikki Joensuu
Johan Lundin
Publication date
01-09-2013
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue Special Issue 1/2013
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/1746-1596-8-S1-S29

Other articles of this Special Issue 1/2013

Diagnostic Pathology 1/2013 Go to the issue