title: Feasibility of spatial frequency domain imaging (SFDI) for optically characterizing a preclinical oncology model.
abstract: Determination of chemotherapy efficacy early during treatment would provide more opportunities for physicians to alter and adapt treatment plans. Diffuse optical technologies may be ideally suited to track early biological events following chemotherapy administration due to low cost and high information content. We evaluated the use of spatial frequency domain imaging (SFDI) to characterize a small animal tumor model in order to move towards the goal of endogenous optical monitoring of cancer therapy in a controlled preclinical setting. The effects of key measurement parameters including the choice of imaging spatial frequency and the repeatability of measurements were evaluated. The precision of SFDI optical property extractions over repeat mouse measurements was determined to be within 3.52% for move and replace experiments. Baseline optical properties and chromophore values as well as intratumor heterogeneity were evaluated over 25 tumors. Additionally, tumor growth and chemotherapy response were monitored over a 45 day longitudinal study in a small number of mice to demonstrate the ability of SFDI to track treatment effects. Optical scattering and oxygen saturation increased as much as 70% and 25% respectively in treated tumors, suggesting SFDI may be useful for preclinical tracking of cancer therapies.
authors.affiliation: Electrical and Computer Engineering, Boston University, 8 Saint Mary's Street, Boston, MA 02215, USA.
authors.forename: Syeda
authors.initials: S
authors.lastname: Tabassum
authors.affiliation: Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.
authors.forename: Yanyu
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.
authors.forename: Raeef
authors.initials: R
authors.lastname: Istfan
authors.affiliation: Division of Cell and Molecular Biology, Department of Biology and Bioinformatics Program, Boston University, 5 Cummington Mall, Boston, MA 02215, USA.
authors.forename: Junjie
authors.initials: J
authors.lastname: Wu
authors.affiliation: Division of Cell and Molecular Biology, Department of Biology and Bioinformatics Program, Boston University, 5 Cummington Mall, Boston, MA 02215, USA.
authors.forename: David J
authors.initials: DJ
authors.lastname: Waxman
authors.affiliation: Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.
authors.forename: Darren
authors.initials: D
authors.lastname: Roblyer
keywords: (170.0110) Imaging systems; (170.3880) Medical and biological imaging; (170.5280) Photon migration; (170.6510) Spectroscopy, tissue diagnostics; (290.1990) Diffusion; (290.5820) Scattering measurements