Cancers, Vol. 16, Pages 1289: An MRI Radiomics Approach to Predict the Hypercoagulable Status of Gliomas

Cancers, Vol. 16, Pages 1289: An MRI Radiomics Approach to Predict the Hypercoagulable Status of Gliomas Cancers doi: 10.3390/cancers16071289 Authors: Zuzana Saidak Adrien Laville Simon Soudet Marie-Antoinette Sevestre Jean-Marc Constans Antoine Galmiche Venous thromboembolic events are frequent complications of Glioblastoma Multiforme (GBM) and low-grade gliomas (LGGs). The overexpression of tissue factor (TF) plays an essential role in the local hypercoagulable phenotype that underlies these complications. Our aim was to build an MRI radiomics model for the non-invasive exploration of the hypercoagulable status of LGG/GBM. Radiogenomics data from The Cancer Genome Atlas (TCGA) and REMBRANDT (Repository for molecular BRAin Neoplasia DaTa) cohorts were used. A logistic regression model (Radscore) was built in order to identify the top 20% TF-expressing tumors, considered to be at high thromboembolic risk. The most contributive MRI radiomics features from LGG/GBM linked to high TF were identified in TCGA using Least Absolute Shrinkage and Selection Operator (LASSO) regression. A logistic regression model was built, whose performance was analyzed with ROC in the TCGA/training and REMBRANDT/validation cohorts: AUC = 0.87 [CI95: 0.81–0.94, p < 0.0001] and AUC = 0.78 [CI95: 0.56–1.00, p = 0.02], respectively. In agreement with the key role of the coagulation cascade in gliomas, LGG patients with a high Radscore had lower ove...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research