Incorporating Functional Image Information to rpFNA Analysis for Breast Cancer Detection in High-Risk Women

摘要

The overall goal of this work is to correlate the imaging information from the dual-modality, dedicated single photon emission computed tomography (SPECT) and computed tomography device with the results of random periareolar fine needle aspiration (rpFNA) in women at high risk for breast cancer. In this third year of work, the variability of the quantification procedure has been evaluated with the Two One-Sided Test. The SPECT images can be statistically significantly quantified within 10% of known values when acquired with traditional trajectories. The SPECT image quantification acquired with non-traditional trajectories has borderline p-values that are nearly statistically significant (p=0.052). Quantification was retrospectively applied to human subject data and it was determined that more information about the normal radiotracer uptake should be acquired. Work resulting from this project was presented at a local seminar and international conference this year and several manuscripts are being submitted for peer review.