Quantification of Nanoparticle Enhancement in Polarized Breast Tumor Macrophage Deposits by Spatial Analysis of MRI and Histological Iron Contrast Using Computer Vision
Joint Authors
Leftin, Avigdor
Koutcher, Jason A.
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Magnetic resonance imaging applications utilizing nanoparticle agents for polarized macrophage detection are conventionally analyzed according to iron-dependent parameters averaged over large regions of interest (ROI).
However, contributions from macrophage iron deposits are usually obscured in these analyses due to their lower spatial frequency and smaller population size compared with the bulk of the tumor tissue.
We hypothesized that, by addressing MRI and histological pixel contrast heterogeneity using computer vision image analysis approaches rather than statistical ROI distribution averages, we could enhance our ability to characterize deposits of polarized tumor-associated macrophages (TAMs).
We tested this approach using in vivo iron MRI (FeMRI) and histological detection of macrophage iron in control and ultrasmall superparamagnetic iron oxide (USPIO) enhanced mouse models of breast cancer.
Automated spatial profiling of the number and size of iron-containing macrophage deposits according to localized high-iron FeMRI or Prussian blue pixel clustering performed better than using distribution averages to evaluate the effects of contrast agent injections.
This analysis was extended to characterize subpixel contributions to the localized FeMRI measurements with histology that confirmed the association of endogenous and nanoparticle-enhanced iron deposits with macrophages in vascular regions and further allowed us to define the polarization status of the macrophage iron deposits detected by MRI.
These imaging studies demonstrate that characterization of TAMs in breast cancer models can be improved by focusing on spatial distributions of iron deposits rather than ROI averages and indicate that nanoparticle uptake is dependent on the polarization status of the macrophage populations.
These findings have broad implications for nanoparticle-enhanced biomedical imaging especially in cancer.
American Psychological Association (APA)
Leftin, Avigdor& Koutcher, Jason A.. 2018. Quantification of Nanoparticle Enhancement in Polarized Breast Tumor Macrophage Deposits by Spatial Analysis of MRI and Histological Iron Contrast Using Computer Vision. Contrast Media & Molecular Imaging،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1131361
Modern Language Association (MLA)
Leftin, Avigdor& Koutcher, Jason A.. Quantification of Nanoparticle Enhancement in Polarized Breast Tumor Macrophage Deposits by Spatial Analysis of MRI and Histological Iron Contrast Using Computer Vision. Contrast Media & Molecular Imaging No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1131361
American Medical Association (AMA)
Leftin, Avigdor& Koutcher, Jason A.. Quantification of Nanoparticle Enhancement in Polarized Breast Tumor Macrophage Deposits by Spatial Analysis of MRI and Histological Iron Contrast Using Computer Vision. Contrast Media & Molecular Imaging. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1131361
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131361