Current Evidence, Limitations and Future Challenges of Survival Prediction for Glioblastoma Based on Advanced Noninvasive Methods: A Narrative Review

<i>Background and Objectives</i>: Survival estimation for patients diagnosed with Glioblastoma (GBM) is an important information to consider in patient management and communication. Despite some known risk factors, survival estimation remains a major challenge. Novel non-invasive technologies such a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Sergio García-García, Manuel García-Galindo, Ignacio Arrese, Rosario Sarabia, Santiago Cepeda
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-11-01
Schriftenreihe:	Medicina
Schlagworte:	glioblastoma glioma high-grade glioma radiomics artificial intelligence deep learning
Online-Zugang:	https://www.mdpi.com/1648-9144/58/12/1746
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!