Ahmer Karimuddin, Head of Department of Surgery and Professor, C.N. Woodward Chair at The University of British Columbia, shared a post on LinkedIn:
“One of the most exciting shifts in cancer care is the ability to see more in the data than we ever could before.
In this study from colleagues at BC Cancer and UBC, radiomics-based AI analyzed subtle imaging patterns in CT scans and predicted lung cancer progression and survival more accurately than traditional clinical assessment.
Better tools don’t replace clinicians-they extend our ability to understand disease and personalize care for every patient.
Congratulations to Dr. Sarah Baker and colleagues for leading this important work.”
Title: Development of Radiomics Models to Predict Progression-Free Survival and Early Polymetastatic Progression in Patients With Lung Oligometastases Treated on the Single-Arm Phase II Stereotactic Ablative Radiotherapy-5 Trial
Authors: T Kunkya, D Hyde, B Mou, J Abrina, H Clark, A Javanmardi, D Schellenberg, M Liu, S Tyldesley, A Bergman, A Alexander, F Hsu, Y Zhao, R Olson, S Baker
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