Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network

This study combined functional imaging parameters from FDG-PET/CT and MRI in a rat model of breast cancer bone metastases to a Model-averaged Neural Network (avNNet) for the detection of early metastatic disease and prediction of future macrometastases. Metastases were induced in 28 rats by injecting MDA-MB-231 breast cancer cells into the right superficial epigastric artery, resulting in the growth of osseous metastases in the right hind leg of the animals.

Source: Bone - November 13, 2018 Category: Orthopaedics Authors: Stephan Ellmann, Lisa Seyler, Jochen Evers, Henrik Heinen, Aline Bozec, Olaf Prante, Torsten Kuwert, Michael Uder, Tobias B äuerle Tags: Full Length Article Source Type: research