Characterizing breast cancer response to neoadjuvant therapy based on biophysical modeling and multiparametric magnetic resonance imaging data.

Personalized medicine efforts are focused on identifying biomarkers to guide individualizing neoadjuvant therapy regimens. In this work, we aim to validate a previously developed image data-driven mathematical modeling approach for dynamic characterization of breast cancer response to neoadjuvant therapy using a large, multi-site cohort. We retrospectively analyzed patients enrolled in the BMMR2 ACRIN 6698 subset at 10 institutions.

Use of Petrifilm 3M to Assess Coliform Numbers on Lamb Carcasses.

Petrifilm (6410) was used directly on lamb carcasses to enumerate coliforms. Ten sampling locations (sites) on 30 carcasses were sampled at each of four separate meat processing establishments (works). The coliform counts obtained by this technique were statistically analyzed using analysis of variance (ANOVA) to select the optimum sampling sites on the carcass and to assess the contamination of the carcass by gut flora at a particular establishment.