Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival-Reference-Cited by-同舟云学术

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

Published:2011-11-09 Issue:108 Volume:3 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Beck Andrew H.¹²,Sangoi Ankur R.¹³,Leung Samuel⁴,Marinelli Robert J.⁵,Nielsen Torsten O.⁴,van de Vijver Marc J.⁶,West Robert B.¹,van de Rijn Matt¹,Koller Daphne⁷

Affiliation:

1. Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.

2. Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA.

3. Department of Pathology, El Camino Hospital, Mountain View, CA 94040, USA.

4. Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, British Columbia V6H 3Z6, Canada.

5. Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

6. Department of Pathology, Academic Medical Center, Meibergdreef 9, 1105AZ Amsterdam, Netherlands.

7. Department of Computer Science, Stanford University, Stanford, CA 94305, USA.

Abstract

Automated quantification of thousands of morphologic features in microscopic images of breast cancer allows the construction of a robust prognostic model.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference39 articles.

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2. THE POSITION OF HISTOLOGY IN THE PROGNOSIS OF CARCINOMA OF THE BREAST.

3. Histological Grading and Prognosis in Breast Cancer

4. Prognostic value of histologic grade nuclear components of Scarff-Bloom-Richardson (SBR). An improved score modification based on a multivariate analysis of 1262 invasive ductal breast carcinomas

5. pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up

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