Liam O’Brien, professor of mathematics and statistics, coauthored a paper recently published in the British Journal of Radiology titled “Linear Mixed-effects models for estimation of pulmonary metastasis growth rate: implications for CT surveillance in patients with sarcoma.” Their work advances the field by showing that “CT surveillance intervals for pulmonary metastases can be estimated based on metastasis growth rate. There was significant variation in the pulmonary metastasis growth rate between metastases within patient and between patients. Pulmonary nodule volume growth followed an exponential model, linear in time,” according to their paper.