Preoperative prediction of Ki-67 and p53 status in meningioma using a multiparametric MRI-based clinical-radiomic model

Preoperative prediction of Ki-67 and p53 status in meningioma using a multiparametric MRI-based clinical-radiomic model

PurposeTo investigate the utility of preoperative multiparametric magnetic resonance imaging (mpMRI)-based clinical-radiomic analysis combined with machine learning (ML) algorithms in predicting the expression of the Ki-67 proliferative index and p53 tumor suppressor protein in patients with meningi...

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Bibliographic Details
Main Authors: Chung-Man Moon, Yun Young Lee, Doo-Young Kim, Woong Yoon, Byung Hyun Baek, Jae-Hyun Park, Suk-Hee Heo, Sang-Soo Shin, Seul Kee Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
Ki-67
p53
meningioma
radiomics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1138069/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1138069/full

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