Radiomics for predicting grades, isocitrate dehydrogenase mutation, and oxygen 6-methylguanine-DNA methyltransferase promoter methylation of adult diffuse gliomas: combination of structural MRI, apparent diffusion coefficient, and susceptibility-weighted imaging
Zhengyang Zhu, Jingfei Shen, Xue Liang, Jianan Zhou, Jiawei Liang, Ling Ni, Han Wang, Meiping Ye, Sixuan Chen, Huiquan Yang, Qian Chen, Xin Li, Wen Zhang, Jiaming Lu, Danni Ge, Linqing Fu, Yajing Zhu, Xin Zhang, Yu Sun, Bing Zhang · 2024
Read Radiomics for predicting grades, isocitrate dehydrogenase mutation, and oxygen 6-methylguanine-DNA methyltransferase promoter methylation of adult diffuse gliomas: combination of structural MRI, apparent diffusion coefficient, and susceptibility-weighted imaging by Zhengyang Zhu, Jingfei Shen, Xue Liang, Jianan Zhou, Jiawei Liang, Ling Ni, Han Wang, Meiping Ye, Sixuan Chen, Huiquan Yang, Qian Chen, Xin Li, Wen Zhang, Jiaming Lu, Danni Ge, Linqing Fu, Yajing Zhu, Xin Zhang, Yu Sun, Bing Zhang (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11652054.txt.
Description
Zhengyang Zhu and co-authors tested scan-based prediction of glioma traits in a 2024 paper. Gliomas are adult brain tumors whose grade and gene marks guide care. Two marks matter most: an IDH gene change and a switch on the MGMT gene. Labs now find them from tissue, which takes time and surgery.
The team mined image traits, called radiomics, from three scan types. They used standard MRI plus two special scans of water flow and blood products. Records came from 539 patients at a California center and beyond. Models learned to guess grade and both gene marks from the scans. Good guesses could speed planning before surgery.
Catalog record
| CREATOR | Zhengyang Zhu, Jingfei Shen, Xue Liang, Jianan Zhou, Jiawei Liang, Ling Ni, Han Wang, Meiping Ye, Sixuan Chen, Huiquan Yang, Qian Chen, Xin Li, Wen Zhang, Jiaming Lu, Danni Ge, Linqing Fu, Yajing Zhu, Xin Zhang, Yu Sun, Bing Zhang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |