부산대학교 도서관

This article explores the use of radiomic feature analysis to predict overall survival and progression-free survival after surgery in patients with skull base chordomas. The study extracted radiomic features from preoperative MRI scans and used unsupervised analysis to identify distinct groups based on these features. The results showed that the radiomic features were able to model overall survival and progression-free survival, and were also associated with genetic markers commonly used in clinical decision-making. The authors suggest that radiomics-based imaging biomarkers could be a noninvasive and cost-effective way to personalize care for patients with skull base chordomas. [Extracted from the article]