Non-invasive predictive model for incidental gallbladder carcinoma based on multimodal features: Integrating clinical data, MRI radiomics, and deep transfer learning features
Qiang Gao, Tiexin Liu, Haoyu Song, Yang Hu, Shaohua Ren, Zhenghao Li, Huifang Yang, Liye Liu, Xinyue Chang, Yang Liu, Fei Wang, Defang Zhao, Xitao Liu, Zhenxia Wang · 2026
Read Non-invasive predictive model for incidental gallbladder carcinoma based on multimodal features: Integrating clinical data, MRI radiomics, and deep transfer learning features by Qiang Gao, Tiexin Liu, Haoyu Song, Yang Hu, Shaohua Ren, Zhenghao Li, Huifang Yang, Liye Liu, Xinyue Chang, Yang Liu, Fei Wang, Defang Zhao, Xitao Liu, Zhenxia Wang (2026) 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-13223990.txt.
Description
Qiang Gao and a large team build a non-invasive model to predict incidental gallbladder cancer, in this 2026 Europe PMC paper. This cancer is often found only by chance after gallbladder surgery, and late discovery badly worsens prognosis. Catching high-risk patients before surgery would change care.
The team combined clinical data, MRI radiomics and deep learning features from the images. Their sample held just under three hundred benign cases and about one hundred incidental cancers. Blood hemoglobin, direct bilirubin, age and two duct measurements were independent predictors. The combined multimodal model beat each single-source model on test accuracy, reaching an area under the curve near nine tenths.
Catalog record
| CREATOR | Qiang Gao, Tiexin Liu, Haoyu Song, Yang Hu, Shaohua Ren, Zhenghao Li, Huifang Yang, Liye Liu, Xinyue Chang, Yang Liu, Fei Wang, Defang Zhao, Xitao Liu, Zhenxia Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 66 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |