Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

Primary Central Nervous System Lymphoma (PCNSL) is an aggressive neoplasm with a poor prognosis. Although therapeutic progresses have significantly improved Overall Survival (OS), a number of patients do not respond to HD–MTX-based chemotherapy (15–25%) or experience relapse (25–50%) after an initia...

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Principais autores:	Michela Destito, Aldo Marzullo, Riccardo Leone, Paolo Zaffino, Sara Steffanoni, Federico Erbella, Francesco Calimeri, Nicoletta Anzalone, Elena De Momi, Andrés J. M. Ferreri, Teresa Calimeri, Maria Francesca Spadea
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-02-01
Serija:	Bioengineering
Teme:	rare tumor PCNSL radiomics image normalization MRI
Online dostop:	https://www.mdpi.com/2306-5354/10/3/285
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