Metastasis risk prediction model in osteosarcoma using metabolic imaging phenotypes: A multivariable radiomics model.
Heesoon SheenWook KimByung Hyun ByunChang-Bae KongWon Seok SongWan Hyeong ChoIlhan LimSang Moo LimSang-Keun WooPublished in: PloS one (2019)
The SUVmax and GLZLM-SZLGE from metabolic imaging phenotypes are independent predictors of metastasis risk assessment. They show the association between 18F-FDG-PET and metastatic colonization knowledge. The multivariable model developed using them could improve patient outcomes by allowing aggressive treatment in patients with high metastasis risk.