Combined model of radiomics and clinical features for predicting prognosis of term neonatal hypoxic-ischemic encephalopathy after one year: an exploratory study
Jing Tang, Si-Ping He, Yu-Qing Liu, Yong-Hua Xiang, Ting Yi, Ke Jin · 2025
Read Combined model of radiomics and clinical features for predicting prognosis of term neonatal hypoxic-ischemic encephalopathy after one year: an exploratory study by Jing Tang, Si-Ping He, Yu-Qing Liu, Yong-Hua Xiang, Ting Yi, Ke Jin (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-12751870.txt.
Description
Jing Tang and five co-authors combine brain scan patterns with birth records to predict how babies with oxygen-starved brains will fare at age one. Their 2025 study covers hypoxic-ischemic encephalopathy in full-term newborns, a condition where early prognosis guides hard care choices. The team analyzed 180 such infants.
Babies were split by their thinking and movement scores at twelve months. A clinical model leaned on Apgar scores, the quick health ratings given at birth. A second model mined texture features from MRI scans. The combined model, using seven scan features plus two Apgar scores, predicted outcomes best in both training and test groups. The authors offer it as a tool for early risk sorting and tailored follow-up.
Catalog record
| CREATOR | Jing Tang, Si-Ping He, Yu-Qing Liu, Yong-Hua Xiang, Ting Yi, Ke Jin |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |