Radiomics analysis of dual-layer spectral detector CT-derived iodine density maps for predicting the pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoimmunotherapy
Wanling Mu, Chenglong Luo, Xinhua Meng, Feng Li, Yu Qi, Jinjin Dang, Janbo Gao, Yue Zhou · 2026
Read Radiomics analysis of dual-layer spectral detector CT-derived iodine density maps for predicting the pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoimmunotherapy by Wanling Mu, Chenglong Luo, Xinhua Meng, Feng Li, Yu Qi, Jinjin Dang, Janbo Gao, Yue Zhou (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-13559843.txt.
Description
Wanling Mu and seven co-authors built in 2026 a model to forecast which esophageal cancer patients will see their tumor vanish after drug and immune treatment before surgery. They studied 129 patients, split into training and check groups. From special CT scans taken before treatment, they extracted texture features of the tumor and combined them into a score. Clinical traits and scan measures joined the model.
Three factors stood out on their own: tumor grade, one iodine measure and the texture score. The combined model beat each single model, scoring 0.943 in training and 0.833 in the check group. Its forecasts also matched real outcomes well and promised net benefit in decisions. The authors offer the tool for tailoring care: patients unlikely to respond fully might be spared a fixed plan. Wider testing is still needed.
Catalog record
| CREATOR | Wanling Mu, Chenglong Luo, Xinhua Meng, Feng Li, Yu Qi, Jinjin Dang, Janbo Gao, Yue Zhou |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |