MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases

MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases

Abstract Objective This study aimed to extract radiomics features from MRI using machine learning (ML) algorithms and integrate them with clinical features to build response prediction models for patients with spinal metastases undergoing stereotactic body radiotherapy (SBRT). Methods Patients with...

Full description

Bibliographic Details
Main Authors: Yongye Chen, Siyuan Qin, Weili Zhao, Qizheng Wang, Ke Liu, Peijin Xin, Huishu Yuan, Hongqing Zhuang, Ning Lang
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Insights into Imaging
Subjects:
Spine
Neoplasm metastasis
MRI
Radiosurgery
Treatment outcome
Online Access:https://doi.org/10.1186/s13244-023-01523-5

Internet

https://doi.org/10.1186/s13244-023-01523-5

Similar Items