Stefano Piffer, Daniela Greto, Leonardo Ubaldi, Marzia Mortilla, Antonio Ciccarone, Isacco Desideri, Lorenzo Genitori, Lorenzo Livi, Livia Marrazzo, Stefania Pallotta, Alessandra Retico, Iacopo Sardi, Cinzia Talamonti
BACKGROUND: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis. METHODS: This single-center study retrospectively enrolled children diagnosed with metastatic medulloblastoma (MB) and treated with hyperfractionated craniospinal irradiation (CSI)...
April 20, 2024: Child's Nervous System: ChNS: Official Journal of the International Society for Pediatric Neurosurgery