@article{QIMS9670,
author = {Richard Ha and Eralda Mema and Xiaotao Guo and Victoria Mango and Elise Desperito and Jason Ha and Ralph Wynn and Binsheng Zhao},
title = {Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {6},
number = {2},
year = {2016},
keywords = {},
abstract = {Background: The amount of fibroglandular tissue (FGT) has been linked to breast cancer risk based on mammographic density studies. Currently, the qualitative assessment of FGT on mammogram (MG) and magnetic resonance imaging (MRI) is prone to intra and inter-observer variability. The purpose of this study is to develop an objective quantitative FGT measurement tool for breast MRI that could provide significant clinical value.
Methods: An IRB approved study was performed. Sixty breast MRI cases with qualitative assessment of mammographic breast density and MRI FGT were randomly selected for quantitative analysis from routine breast MRIs performed at our institution from 1/2013 to 12/2014. Blinded to the qualitative data, whole breast and FGT contours were delineated on T1-weighted pre contrast sagittal images using an in-house, proprietary segmentation algorithm which combines the region-based active contours and a level set approach. FGT (%) was calculated by: [segmented volume of FGT (mm3)/(segmented volume of whole breast (mm3)] ×100. Statistical correlation analysis was performed between quantified FGT (%) on MRI and qualitative assessments of mammographic breast density and MRI FGT.
Results: There was a significant positive correlation between quantitative MRI FGT assessment and qualitative MRI FGT (r=0.809, n=60, P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/9670}
}