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22 January 2018 Review of quantitative multiscale imaging of breast cancer
Michael A. Pinkert, Lonie R. Salkowski, Patricia J. Keely, Timothy J. Hall, Walter F. Block, Kevin W. Eliceiri
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Journal of Medical Imaging, Vol. 5, Issue 1, 010901 (January 2018). https://doi.org/10.1117/1.JMI.5.1.010901
Abstract
Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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Michael A. Pinkert, Lonie R. Salkowski, Patricia J. Keely, Timothy J. Hall, Walter F. Block, and Kevin W. Eliceiri "Review of quantitative multiscale imaging of breast cancer," Journal of Medical Imaging 5(1), 010901 (22 January 2018). https://doi.org/10.1117/1.JMI.5.1.010901
Received: 3 June 2017; Accepted: 19 December 2017; Published: 22 January 2018
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KEYWORDS
Breast cancer
Breast
Imaging systems
Tissues
Mammography
Tumors
Magnetic resonance imaging
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