Journal ArticleDOI
Breast patterns as an index of risk for developing breast cancer
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TLDR
A restrospective study of 7,214 patients placed into one of four groups of risk for developing carcinoma of the breast found that there was a 37 times greater incidence for those at highest risk compared to the low risk group.Abstract:
The radiographic appearance of the breast parenchyma provides a method of predicting who will develop a breast cancer. This paper describes a restrospective study of 7,214 patients. On the basis of the radiographic appearance of the breast parenchyma, patients were placed into one of four groups of risk for developing carcinoma of the breast. Follow-up studies revealed a stepwise progression in the incidence of developing carcinoma of the breast at least 6 months after the radiographic examination. In one of the two substudies, there was a 37 times greater incidence for those at highest risk compared to the low risk group. The classifications presented are thought to be of value in the everyday practice of mammography as well as in planning screening programs.read more
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Breast imaging reporting and data system (BI-RADS).
TL;DR: The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed by the American College of Radiology to standardize mammographic reporting and is clinically useful and facilitates communication and research.
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Mammographic Density and the Risk and Detection of Breast Cancer
Norman F. Boyd,Helen Guo,Lisa J. Martin,Limei Sun,Jennifer Stone,Eve Fishell,Roberta A. Jong,Greg Hislop,Anna M. Chiarelli,Salomon Minkin,Martin J. Yaffe +10 more
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Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis
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A Tense Situation: Forcing Tumour Progression
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Journal ArticleDOI
Remodeling and homeostasis of the extracellular matrix: implications for fibrotic diseases and cancer
Thomas R. Cox,Janine T. Erler +1 more
TL;DR: Current methodologies and models for understanding and quantifying the impact of environmental cues provided by the ECM on disease progression are discussed, and how improving understanding of ECM remodeling in these pathological conditions is crucial for uncovering novel therapeutic targets and treatment strategies.