Article
Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study.
BMC medicine - 29 May 2023
Ma Chao, Wang Liyang, Song Dengpan, Gao Chuntian, Jing Linkai, Lu Yang, Liu Dongkang, Man Weitao, Yang Kaiyuan, Meng Zhe, Zhang Huifang, Xue Ping, Zhang Yupeng, Guo Fuyou, Wang Guihuai
Abstract excerpt
BACKGROUND: Determining the grade and molecular marker status of intramedullary gliomas is important for assessing treatment outcomes and prognosis. Invasive biopsy for pathology usually carries a high risk of tissue damage, especially to the spinal cord, and there are currently no non-invasive strategies to identify the pathological type of intramedullary gliomas. Therefore, this study aimed to develop a...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.