Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model
Hui-Bin Xue, Mei-Li Liang, Huang-Zhen Xu, Chen-Yu Wang, Tian-Wen Xu, Ai-Yue Zhao · 2024
Read Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model by Hui-Bin Xue, Mei-Li Liang, Huang-Zhen Xu, Chen-Yu Wang, Tian-Wen Xu, Ai-Yue Zhao (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-11672336.txt.
Description
Hui-Bin Xue and co-authors report a study from two thousand twenty-four on predicting whether stomach cancer will spread to distant sites. Such spread, called distant metastasis, shapes treatment and outlook. The team built a personal risk chart, called a nomogram, that mixes scan-based measures with clinical facts.
They studied three hundred one patients, split into training and test groups. From CT scans they extracted hundreds of image features and kept fifteen that mattered. Age, tumor grade, and nodal stage also predicted spread on their own. Models that joined image scores with clinical facts were judged on accuracy, calibration, and benefit for patient care. The authors present the joint chart as a tool to flag high-risk patients early.
Catalog record
| CREATOR | Hui-Bin Xue, Mei-Li Liang, Huang-Zhen Xu, Chen-Yu Wang, Tian-Wen Xu, Ai-Yue Zhao |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |