Predicting Neoadjuvant Treatment Response in Rectal Cancer Using Machine Learning: Evaluation of MRI-Based Radiomic and Clinical Models.
Kent J PetersonMatthew T SimpsonMelissa K DrezdzonAniko SzaboRobin A AusmanAndrew S NenckaPaul M KnechtgesCarrie Y PetersonKirk A LudwigTimothy J RidolfiPublished in: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract (2022)
The use of a combined model with both clinical and radiomic features resulted in the strongest predictive capability. With the eventual goal of tailoring treatment to the individual, both clinical and radiologic markers offer insight into identifying patients likely to respond favorably to nCRT.