Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
Lujia WangHairong WangFulvio D'AngeloLee CurtinChristopher P SeredukGustavo De LeonKyle W SingletonJavier UrcuyoAndrea Hawkins-DaarudPamela R JacksonChandan KrishnaRichard S ZimmermanDevi P PatraBernard R BendokKris A SmithPeter NakajiKliment DonevLeslie C BaxterMaciej M MrugałaMichele CeccarelliAntonio IavaroneKristin R SwansonNhan L TranLeland S HuJing LiPublished in: PloS one (2024)
This study demonstrated the feasibility of using MRI and WSO-SVM to enable non-invasive prediction of intra-tumoral regional genetic alteration for each GBM patient, which can inform future adaptive therapies for individualized oncology.