Effects of breast density and compression on normal breast tissue hemodynamics through breast tomosynthesis guided near-infrared spectral tomography

Abstract

Optically derived tissue properties across a range of breast densities and the effects of breast compression on estimates of hemoglobin, oxygen metabolism, and water and lipid concentrations were obtained from a coregistered imaging system that integrates near-infrared spectral tomography (NIRST) with digital breast tomosynthesis (DBT). Image data were analyzed from 27 women who underwent four IRB approved NIRST/DBT exams that included fully and mildly compressed breast acquisitions in two projections—craniocaudal (CC) and mediolateral-oblique (MLO)—and generated four data sets per patient (full and moderate compression in CC and MLO views). Breast density was correlated with HbT (r=0.64, p=0.001), water (r=0.62, p=0.003), and lipid concentrations (r=?0.74, p<0.001), but not oxygen saturation. CC and MLO views were correlated for individual subjects and demonstrated no statistically significant differences in grouped analysis. Comparison of compressed and uncompressed imaging demonstrated a significant decrease in oxygen saturation under compression (58% versus 50%, p=0.04). Mammographic breast density categorization was correlated with measured optically derived properties.

Camera-based CW Diffuse Optical Tomography for obtaining 3D absorption maps by means of digital tomosynthesis

“…Generally, the inversion is time consuming and the resulting three-dimensional (3D) images are blurred due to the strong scattering of NIR light in tissue (Van de Ven et al 2009, Enfield et al 2011). Accordingly, several attempts were undertaken to exploit prior knowledge on the tissue spatial structure in the optical reconstruction derived by conventional breast imaging methods like x-ray mammography (Michaelsen et al 2016, Zimmermann et al 2017, Fang et al 2011, magnetic resonance imaging (MRI) (Mastanduno et al 2015) or ultrasound (Xu et al 2016, Vavadi et al 2018.…”