Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on <sup>18</sup>F-FDG PET

Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on <sup>18</sup>F-FDG PET

<b>Background:</b> The characteristic magnetic resonance imaging (MRI) and the positron emission tomography (PET) findings of PCNSL often overlap with other intracranial tumors, making definitive diagnosis challenging. PCNSL typically shows iso-hypointense to grey matter on T2-weighted i...

Full description

Bibliographic Details
Main Authors: Can Cui, Xiaochen Yao, Lei Xu, Yuelin Chao, Yao Hu, Shuang Zhao, Yuxiao Hu, Jia Zhang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Personalized Medicine
Subjects:
primary central nervous system lymphoma
predictive modeling
Radiomics
machine learning
PET
Online Access:https://www.mdpi.com/2075-4426/13/3/539

Internet

https://www.mdpi.com/2075-4426/13/3/539

Similar Items