Survival Outcome Prediction in Glioblastoma: Insights from MRI Radiomics.

Background: Extracting multiregional radiomic features from multiparametric MRI for predicting pretreatment survival in isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) patients is a promising approach. Methods: MRI data from 49 IDH wild-type glioblastoma patients pre-treatment were utilized. Diffusion and perfusion maps were generated, and tumor subregions segmented. Radiomic features were extracted for each tissue type and map. Feature selection on 1862 radiomic features identified 25 significant features. The Cox proportional-hazards model with LASSO regularization was used to perform survival analysis. Internal and external validation used a 38-patient training cohort and an 11-patient validation cohort. Statistical significance was set at p < 0.05. Results: Age and six radiomic features (shape and first and second order) from T1W, diffusion, and perfusion maps contributed to the final model. Findings suggest that a small necrotic subregion, inhomogeneous vascularization in the solid non-enhancing subregion, and edema-related tissue damage in the enhancing and edema subregions are linked to poor survival. The model's C-Index was 0.66 (95% C.I. 0.54-0.80). External validation demonstrated good accuracy (AUC > 0.65) at all time points. Conclusions: Radiomics analysis, utilizing segmented perfusion and diffusion maps, provide predictive indicators of survival in IDH wild-type glioblastoma patients, revealing associations with microstructural and vascular heterogeneity in the tumor.

Blood Biomarkers for Prediction of Positive CT Findings in Mild Traumatic Brain Injury in Paediatric Population.

BACKGROUND: Paediatric Traumatic Brain Injury (TBI) has received less research attention compared to TBI in adults, despite its potential morbidity in all ages. Our aim was to determine whether neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and glucose levels at admission can reliably predict the need for imaging in children presenting with mild TBI. METHODS: We retrospectively reviewed the clinical records of paediatric patients who presented in the emergency department with mild TBI within a 5 year period and had undergone computed tomography (CT) scan of the head. RESULTS: Overall, 43 eligible patients were included in the study, with falls being the most commonly reported cause of injury. Twenty-three children had positive CT findings. Patients with abnormal CT findings were found to have higher NLR ratios compated with patients with normal CT, with the mean NLR on admission being 5.2 ± 3.8. Children with abnormal CT findings had lower PLR levels and higher glucose levels at presentation compared to children with normal CT, however the differences were not statistically significant. Using the receiver operating characteristic (ROC) curve, we found that a NLR cut off value of 6.1 yielded a sensitivity of 54.2% and a specificity of 89.5% for the prediction of abnormal CT findings. CONCLUSIONS: The findings of this study suggest that NLR may have a role in CT decision-making in the emergency department for mild TBI in paediatric patients.