Efficient Prediction of Ki-67 Proliferation Index in Meningiomas on MRI: From Traditional Radiological Findings to a Machine Learning Approach

Efficient Prediction of Ki-67 Proliferation Index in Meningiomas on MRI: From Traditional Radiological Findings to a Machine Learning Approach

Background/aim This study aimed to explore the value of radiological and radiomic features retrieved from magnetic resonance imaging in the prediction of a Ki-67 proliferative index in meningioma patients using a machine learning model. Methods This multicenter, retrospective study included 371 pati...

Full description

Bibliographic Details
Main Authors: Yanjie Zhao, Jianfeng Xu, Boran Chen, Le Cao, Chaoyue Chen
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Cancers
Subjects:
Ki-67
magnetic resonance imaging (MRI)
radiomics
machine learning
meningioma
Online Access:https://www.mdpi.com/2072-6694/14/15/3637

Internet

https://www.mdpi.com/2072-6694/14/15/3637

Similar Items