Longitudinal assessment of automated gray-white matter ratio for outcome prediction after cardiac arrest
Min Wu, Weiwei Liu, Sheng Kuang, Jiajia Zhou, Xujian He, Jia Hu, Yongjian Deng, Huiying Lin, Jie Zhang, Chenyang Zhao, Meiqi Zeng, Hanxiao Wang, Meng Wu, Wangxiao Bao, Tong Li, Benyan Luo, Kang Wang · 2025
Read Longitudinal assessment of automated gray-white matter ratio for outcome prediction after cardiac arrest by Min Wu, Weiwei Liu, Sheng Kuang, Jiajia Zhou, Xujian He, Jia Hu, Yongjian Deng, Huiying Lin, Jie Zhang, Chenyang Zhao, Meiqi Zeng, Hanxiao Wang, Meng Wu, Wangxiao Bao, Tong Li, Benyan Luo, Kang Wang (2025) 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-12751271.txt.
Description
Min Wu and co-authors report a 2025 study on reading brain scans after cardiac arrest. Doctors use the gray-white matter ratio on head CT scans to judge oxygen-starvation injury, but the scan's timing may change what the ratio means.
The team followed 123 comatose patients at three intensive care units, with scans in three set windows during the first week. Software computed the ratio on its own for each scan. Patients with poor outcomes three months later showed lower ratios at every window. Values also fell over time in that group, so the trend across scans adds news beyond any single reading.
Catalog record
| CREATOR | Min Wu, Weiwei Liu, Sheng Kuang, Jiajia Zhou, Xujian He, Jia Hu, Yongjian Deng, Huiying Lin, Jie Zhang, Chenyang Zhao, Meiqi Zeng, Hanxiao Wang, Meng Wu, Wangxiao Bao, Tong Li, Benyan Luo, Kang Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |