Ontology highlight
ABSTRACT:
SUBMITTER: Gaw N
PROVIDER: S-EPMC6624304 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Gaw Nathan N Hawkins-Daarud Andrea A Hu Leland S LS Yoon Hyunsoo H Wang Lujia L Xu Yanzhe Y Jackson Pamela R PR Singleton Kyle W KW Baxter Leslie C LC Eschbacher Jennifer J Gonzales Ashlyn A Nespodzany Ashley A Smith Kris K Nakaji Peter P Mitchell J Ross JR Wu Teresa T Swanson Kristin R KR Li Jing J
Scientific reports 20190711 1
Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell invasion, impairing effective surgery and radiation planning. We present a novel hybrid model, based on multiparametric intensities, which combines machine learning (ML) with a mechanistic model of tumor growth to provide spatially resolved tumor cell density predictions. The ML component is an imaging data-driven graph- ...[more]